{"id":3366,"date":"2023-09-28T11:34:54","date_gmt":"2023-09-28T09:34:54","guid":{"rendered":"https:\/\/www.um.sav.sk\/en\/?p=3366"},"modified":"2023-09-28T12:53:13","modified_gmt":"2023-09-28T10:53:13","slug":"citations-2013","status":"publish","type":"post","link":"https:\/\/www.um.sav.sk\/en\/citations\/citations-2013\/","title":{"rendered":"Citations 2013"},"content":{"rendered":"<ul>\n<li><span style=\"color: #993300\">ACCARDO, A. &#8211; <u>STROLKA, Igor<\/u> &#8211; TOFFANIN, R. &#8211; VITTUR, F. Medical imaging analysis of the three dimensional (3D) architecture of trabecular bone: techniques and their applications. In <em>Medical Imaging Systems Technology : Methods in General Anatomy<\/em>. &#8211; World Scientific Publishing Company, 2005, p. 1-42.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>ROQUE, W.L. &#8211; ARCARO, K. &#8211; ALBERICH-BAYARRI, A. Mechanical competence of bone: A new parameter to grade trabecular bone fragility from tortuosity and elasticity. In <em>IEEE Transactions on Biomedical Engineering<\/em>, 2013, vol. 60, no. 5, p. 1363-1370.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">AIDU, E.A.I. &#8211; TRUNOV, V.G. &#8211; TITOMIR, L.I. &#8211; <u>TY\u0160LER, Milan<\/u> &#8211; <u>TURZOV\u00c1, Marie<\/u> &#8211; SZATHM\u00c1RY, Vavrinec. Electrocardiographic ST segment changes as an indicator for localization of injury potentials. A computer simulation study. In <em>Kardiol\u00f3gia<\/em>, 2006, vol. 15, no. 1, p. 21-24.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>PENHAKER, M. &#8211; CERNY, M. Intravenous catheter transfer function distortion testing. In <em>IEEE 11th International Symposium on Applied Machine Intelligence and Informatics (SAMI 2013).<\/em> 2013, p. 149-152.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">AMANN, A. &#8211; SCHWARZ, K. &#8211; WIMMER, Gejza &#8211; <u>WITKOVSK\u00dd, Viktor<\/u>. Model based determination of detection limits for proton transfer reaction mass spectrometer. In <em>Measurement Science Review<\/em>, 2010, vol. 10, no. 6, p. 180-188.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>SHILLING, J.E. &#8211; ZAVERI, R.A. &#8211; FAST, J.D. &#8211; KLEINMAN, L. &#8211; ALEXANDER, M.L. &#8211; CANAGARATNA, M.R. &#8211; FORTNER, E. &#8211; HUBBE, J.M. &#8211; JAYNE, J.T. &#8211; SEDLACEK, A. &#8211; SETYAN, A. &#8211; SPRINGSTON, S. &#8211; WORSNOP, D.R. &#8211; ZHANG, Q. Enhanced SOA formation from mixed anthropogenic and biogenic emissions during the CARES campaign. In <em>Atmospheric Chemistry and Physics<\/em>, 2013, vol. 13, no. 4, p. 2091-2113.<\/li>\n<li>BEAUCHAMP, J. &#8211; HERBIG, J. &#8211; DUNKL, J. &#8211; SINGER, W. &#8211; HANSEL, A. On the performance of proton-transfer-reaction mass spectrometry for breath-relevant gas matrices. In <em>Measurement Science &amp; Technology<\/em>, 2013, vol. 24, no. 12.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ANDRIS, Peter<\/u> &#8211; <u>FROLLO, Ivan<\/u>. Optimized measurement of magnetic field maps using nuclear magnetic resonance (NMR). In <em>Measurement Science and Technology<\/em>, 2011, vol. 22, no. 4, art. no. 045501.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>YUAN, H. &#8211; LV, X. &#8211; MA, X. An intravascular loopless monopole antenna for vessel wall MR imaging at 3.0 T. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 1, p. 150-155.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ANDRIS, Peter<\/u> &#8211; <u>FROLLO, Ivan<\/u>. Measurement of magnetic field with background using a low field NMR scanner. In <em>Measurement Science and Technology<\/em>, 2012, vol. 23, no. 6, art. no. 065006.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>YUAN, H. &#8211; LV, X. &#8211; MA, X. An intravascular loopless monopole antenna for vessel wall MR imaging at 3.0 T. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 1, p. 150-155.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>MARCON, P. &#8211; BARTUSEK, K. Bone marrow analysis in multi-contrast MR images. In <em>Progress in Electromagnetics Research Symposium<\/em>, 2013, p. 29-32.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">APPRICH, S. &#8211; WELSCH, G.H. &#8211; MAMISCH, T.C. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; MAYERHOEFER, M.E. &#8211; PINKER, K. &#8211; TRATTNIG, S. Detection of degenerative cartilage disease: Comparison of high-resolution morphological MR and quantitative T2 mapping at 3.0 Tesla. In <em>Osteoarthritis and Cartilage<\/em>, 2010, vol. 18, no. 9, p. 1211-1217.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 6<\/p>\n<ol>\n<li>ZHANG, W.-T. &#8211; DU, X.-K. &#8211; HUO, T.-L. &#8211; WEI, Z.-M. &#8211; HAO, C.-X. &#8211; AN, B. Combination of F-18-fluorodeoxyglucose positron emission tomography\/computed tomography and magnetic resonance imaging is an optimal way to evaluate rheumatoid arthritis in rats dynamically. In <em>Chinese Medical Journal<\/em>, 2013, vol. 126, no. 19, p. 3732-3738.<\/li>\n<li>BAUM, T. &#8211; JOSEPH, G.B. &#8211; KARAMPINOS, D.C. &#8211; JUNGMANN, P.M. &#8211; LINK, T.M. &#8211; BAUER, J.S. Cartilage and meniscal T2 relaxation time as non-invasive biomarker for knee osteoarthritis and cartilage repair procedures. In <em>Osteoarthritis and Cartilage<\/em>, 2013, vol. 21, no. 10, p. 1474-1484.<\/li>\n<li>OROZCO, L. &#8211; MUNAR, A. &#8211; SOLER, R. &#8211; ALBERCA, M. &#8211; SOLER, F. &#8211; HUGUET, M. &#8211; SENTIS, J. &#8211; SANCHEZ, A. &#8211; GARCIA-SANCHO, J. Treatment of knee osteoarthritis with autologous mesenchymal stem cells: A pilot study. In <em>Transplantation<\/em>, 2013, vol. 95, no. 12, p. 1535-1541.<\/li>\n<li>KIJOWSKI, R. &#8211; BLANKENBAKER, D.G. &#8211; DEL RIO, A.M. &#8211; BAER, G.S. &#8211; GRAF, B.K. Evaluation of the articular cartilage of the knee joint: Value of adding a T2 mapping sequence to a routine MR imaging protocol. In <em>Radiology<\/em>, 2013, vol. 267, no. 2, p. 503-513.<\/li>\n<li>CHAN, D.D. &#8211; NEU, C.P. Probing articular cartilage damage and disease by quantitative magnetic resonance imaging. In <em>Journal of the Royal Society Interface<\/em>, 2013, vol. 10, no. 78.<\/li>\n<li>SALGADO, A.J. &#8211; OLIVEIRA, J.M. &#8211; MARTINS, A. &#8211; TEIXEIRA, F.G. &#8211; SILVA, N.A. &#8211; NEVES, N.M. &#8211; SOUSA, N. &#8211; REIS, R.L. Tissue engineering and regenerative medicine: Past, present, and future. In <em>Tissue Engineering of the Peripheral Nerve: Stem Cells and Regeneration Promoting Factors<\/em>, 2013, vol. 108, p. 1-33.<\/li>\n<\/ol>\n<p>SCOPUS citations: 3<\/p>\n<ol>\n<li>WEI, W.-J. &#8211; ZHOU, Z.-Y. &#8211; GUO, W.-B. &#8211; ZHU, P. &#8211; WU, Z.-Q. &#8211; ZHUANG, W.-Q. Magnetic resonance imaging of T2 mapping in rabbit lumbar intervertebral disc. In <em>Chinese Journal of Tissue Engineering Research<\/em>, 2013, vol. 17, no. 35, p. 6281-6286.<\/li>\n<li>DAI, X. &#8211; SHARMA, G.B. &#8211; KUNTZE, G. &#8211; KUPPER, J. &#8211; FRAYNE, R. &#8211; RONSKY, J. An application of algebraic method on MR T2 imaging of knee articular cartilage. In <em>IST 2013 &#8211; IEEE International Conference on Imaging Systems and Techniques<\/em>, 2013, p. 174-177.<\/li>\n<li>DAI, X. &#8211; RONSKY, J. The study of knee tibiofemoral condyle cartilage relaxation characters based on quantitative MR T2 imaging. In <em>ICMIPE 2013 &#8211; IEEE International Conference on Medical Imaging Physics and Engineering<\/em>, 2013, art. no. 6864523, p. 150-153.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ARENDACK\u00c1, Barbora<\/u>. Bootstrap in common mean estimation &#8211; a case study. In <em>MEASUREMENT 2011 : 8th International Conference on Measurement<\/em>. &#8211; Bratislava : Institute of Measurement Science SAS, 2011, p. 69-72.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>RUKHIN, A.L. Confidence intervals for treatment effect from restricted maximum likelihood. In <em>Journal of Statistical Planning and Inference<\/em>, 2012, vol. 142, no. 7, p. 1999-2008.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>BAJLA, Ivan<\/u> &#8211; HOLL\u00c4NDER, I. Nonlinear filtering of magnetic resonance tomograms by geometry-driven diffusion. In <em>Machine Vision and Applications<\/em>, 1998, vol. 10, no. 5-6, p. 243-255.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>SUN, S. &#8211; TIAN, J. &#8211; LIU, Z. &#8211; CAI, N. Anisotropic diffusion for speckle filtering of polarimetric synthetic aperture radar imagery. In <em>Journal of Electronic Imaging<\/em>, 2013, vol. 22, no. 1.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>BAJLA, Ivan<\/u> &#8211; HOLL\u00c4NDER, I. &#8211; BURG, K. Improvement of electrophoretic gel image analysis. In <em>Measurement Science Review<\/em>, 2001, vol. 1, no. 1, p. 5-10.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>SKUTKOVA, H. &#8211; VITEK, M. &#8211; KRIZKOVA, S. &#8211; KIZEK, R. &#8211; PROVAZNIK, I. Preprocessing and classification of electrophoresis gel images using dynamic time warping. In <em>International Journal of Electrochemical Science<\/em>, 2013, vol. 8, no. 2, p. 1609-1622.<\/li>\n<li>KOPROWSKI, R. &#8211; WROBEL, Z. &#8211; KORZYNSKA, A. &#8211; CHWIALKOWSKA, K. &#8211; KWASNIEWSKI, M. Automatic analysis of 2D polyacrylamide gels in the diagnosis of DNA polymorphisms. In <em>Biomedical Engineering Online<\/em>, 2013, vol. 12.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">BAL\u00c1\u017d, P. &#8211; ACHIMOVI\u010cOV\u00c1, M. &#8211; BAL\u00c1\u017d, M. &#8211; <u>BILLIK, Peter<\/u> &#8211; CHERKEZOVA-ZHELEVA, Z. &#8211; CRIADO, J.M. &#8211; DELOGU, F. &#8211; DUTKOV\u00c1, E. &#8211; GAFFET, E. &#8211; GOTOR, F.C. &#8211; KUMAR, R. &#8211; MITOV, I. &#8211; ROJAC, T. &#8211; SENNA, M. &#8211; STRELETSKII, A. &#8211; WIECZOREK-CIUROWA, K. Hallmarks of mechanochemistry: From nanoparticles to technology. In <em>Chemical Society Reviews<\/em>, 2013, vol. 42, no. 18, p. 7571-7637.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>HALASZ, I. &#8211; PUSKARIC, A. &#8211; KIMBER, S. &#8211; BELDON, P.J. &#8211; BELENGUER, A.M. &#8211; ADAMS, F. &#8211; HONKIMAKI, V. &#8211; DINNEBIER, R.E. &#8211; PATEL, B. &#8211; JONES, W. &#8211; STRUKIL, V. &#8211; FRISCIC, T. Real-time in situ powder X-ray diffraction monitoring of mechanochemical synthesis of pharmaceutical cocrystals. In <em>Angewandte Chemie-International Edition<\/em>, 2013, vol. 52, no. 44, p. 11538-11541.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">BARTA, P. &#8211; <u>\u0160TOLC, Svorad<\/u>. HBCO correction: Its impact on archaeological absolute dating. In <em>Radiocarbon<\/em>, 2007, vol. 49, no. 2, p. 465-472.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>LULL, V. &#8211; MICO, R. &#8211; RIHUETE-HERRADA, C. &#8211; RISCH, R. Funerary practices and kinship in an Early Bronze Age society: a Bayesian approach applied to the radiocarbon dating of Argaric double tombs. In <em>Journal of Archaeological Science<\/em>, 2013, vol. 40, no. 12, p. 4626-4634.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>BARTL, J\u00e1n<\/u> &#8211; <u>GUTTENOV\u00c1, Jana<\/u> &#8211; <u>JACKO, Vlado<\/u> &#8211; <u>\u0160EV\u010c\u00cdK, Robert<\/u>. Circuits for optical frequency stabilization of metrological lasers. <em>MEASUREMENT 2007 : 6th International Conference on Measurement<\/em>. &#8211; Bratislava : Institute of Measurement Science SAS, 2007, p. 131-134.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>HRABINA, J. &#8211; LAZAR, J. &#8211; HOLA, M. &#8211; CIP, O. Investigation of short-term amplitude and frequency fluctuations of lasers for interferometry. In <em>Measurement Science Review<\/em>, 2013, vol. 13, no. 2, p. 63-69.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>BARTL, J\u00e1n<\/u> &#8211; F\u00cdRA, R. &#8211; <u>JACKO, Vlado<\/u>. Tuning of the laser diode. In <em>Measurement Science Review<\/em>, 2002, vol. 2, p. 9-15.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>NASIM, H. &#8211; JAMIL, Y. Recent advancements in spectroscopy using tunable diode lasers. In <em>Laser Physics Letters<\/em>, 2013, vol. 10, no. 4.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>BARTL, J\u00e1n<\/u> &#8211; <u>BAR\u00c1NEK, Martin<\/u>. Emissivity of aluminium and its importance for radiometric measurement. In <em>Measurement Science Review<\/em>, 2004, vol. 4, sec. 3, p. 31-36.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>EDELMAN, G.J. &#8211; HOVELING, R.J.M. &#8211; ROOS, M. &#8211; VAN LEEUWEN, T.G. &#8211; AALDERS, M.C.G. Infrared imaging of the crime scene: Possibilities and pitfalls. In <em>Journal of Forensic Sciences<\/em>, 2013, vol. 58, no. 5, p. 1156-1162.<\/li>\n<li>SABRY, Y.M. &#8211; SAADANY, B. &#8211; KHALIL, D. &#8211; BOUROUINA, T. Silicon micromirrors with three-dimensional curvature enabling lensless efficient coupling of free-space light. In <em>Light-Science &amp; Applications<\/em>, 2013, vol. 2.<\/li>\n<li>CAIAZZO, F. &#8211; ALFIERI, V. &#8211; CARDAROPOLI, F. &#8211; SERGI, V. Butt autogenous laser welding of AA 2024 aluminium alloy thin sheets with a Yb:YAG disk laser. In <em>International Journal of Advanced Manufacturing Technology, <\/em>2013, vol. 67, no. 9-12, p. 2157-2169.<\/li>\n<li>LUO, S.D. &#8211; YANG, Y.F. &#8211; SCHAFFER, G.B. &#8211; QIAN, M. Calibration of temperature measurement by infrared pyrometry in microwave heating of powder materials: An exothermic reaction based approach. In <em>Journal of Microwave Power and Electromagnetic Energy<\/em>, 2013, vol. 47, no. 1, p. 5-11.<\/li>\n<li>CAIAZZO, F. &#8211; ALFIERI, V. &#8211; CARDAROPOLI, F. &#8211; CORRADO, G. &#8211; SERGI, V. Characterization of disk-laser dissimilar welding of titanium alloy Ti-6Al-4V to aluminum alloy 2024. In <em>High-Power Laser Materials Processing: Lasers, Beam Delivery, Diagnostics, and Applications II<\/em>, 2013, vol. 8603.<\/li>\n<\/ol>\n<p>SCOPUS citations: 3<\/p>\n<ol>\n<li>ALFIERI, V. &#8211; CAIAZZO, F. &#8211; SERGI, V. Dissimilar joining of titanium alloy Ti-6Al-4V to aluminum alloy 2024 via laser welding. In <em>ICALEO 2013 &#8211; 32nd International Congress on Applications of Lasers and Electro-Optics<\/em>, 2013, p. 529-537.<\/li>\n<li>POTTER, D. &#8211; KARL, S. &#8211; LAMBERT, M. &#8211; HANNEMANN, K. Computation of radiative and convective contributions to Viking afterbody heating. In <em>44th AIAA Thermophysics Conference<\/em>, 2013.<\/li>\n<li>KOCMANOVA, P. &#8211; ZALUD, L. Spatial calibration of TOF camera, thermal imager and CCD camera. In <em>MENDEL 2013<\/em>, p. 343-348.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>CIMERMANOV\u00c1, Katar\u00edna<\/u>. Estimation of confidence intervals for the log-normal means and for the ratio and difference of log-normal means. In <em>Measurement Science Review<\/em>, 2007, vol. 7, no. 3, p. 31-34.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>LIN, S.H. &#8211; WANG, R.S. Modified method on the means for several log-normal distributions. In <em>Journal of Applied Statistics<\/em>, 2013, vol. 40, no. 1, p. 194-208.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>BILLIK, Peter<\/u> &#8211; \u010cAPLOVI\u010cOV\u00c1, M. &#8211; \u010cAPLOVI\u010c, \u013dubom\u00edr. Mechanochemical-molten salt synthesis of Na<sub>2<\/sub>Ti<sub>6<\/sub>O<sub>13<\/sub> nanobelts. In <em>Materials Research Bulletin<\/em>, 2010, vol. 45, p. 621-627.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>XU, Ch.-Y. &#8211; WU, J. &#8211; ZHANG, P. &#8211; HU, S.-P. &#8211; CUI, J.-X. &#8211; WANG, Z.-Q. &#8211; HUANG, Y.-D. &#8211; ZHEN, L. Molten salt synthesis of Na<sub>2<\/sub>Ti<sub>3<\/sub>O<sub>7<\/sub> and Na<sub>2<\/sub>Ti<sub>6<\/sub>O<sub>13 <\/sub>one-dimensional nanostructures and their photocatalytic and humidity sensing properties. In <em>Crystengcomm<\/em>, 2013, vol. 15, no. 17, p. 3448-3454.<\/li>\n<li>HE, H. &#8211; YAO, W. &#8211; WANG, Ch. &#8211; FENG, X. &#8211; LU, X. Morphology-controlled synthesis of sodium hexa-titanate nanowhiskers by changing evaporation rate of NaCl-KCl molten salts. In <em>Industrial &amp; Engineering Chemistry Research<\/em>, 2013, vol. 52, no. 43, p. 15034-15040.<\/li>\n<li>JIAN, Z. &#8211; HUANG, S. &#8211; ZHANG, Y. Photocatalytic degradation of 2,4-dichlorophenol using nanosized Na<sub>2<\/sub>Ti<sub>6<\/sub>O<sub>13<\/sub>\/TiO<sub>2<\/sub> heterostructure particles. In <em>International Journal of Photoenergy<\/em>, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>BILLIK, Peter<\/u> &#8211; \u010cAPLOVI\u010cOV\u00c1, M. &#8211; TUR\u00c1NYI, T. &#8211; \u010cAPLOVI\u010c, \u013d. &#8211; HORV\u00c1TH, B. Low-temperature mechanochemical-thermal synthesis of \u03b1-Al<sub>2<\/sub>O<sub>3<\/sub> nanocrystals. In <em>Materials Research Bulletin<\/em>, 2011, vol. 46, no. 11, p. 2135-2140.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>JIA, Ch. &#8211; GAO, J. &#8211; LI, J. &#8211; GU, F. &#8211; XU, G. &#8211; ZHONG, Z. &#8211; SU, F. Nickel catalysts supported on calcium titanate for enhanced CO methanation. In <em>Catalysis Science &amp; Technology, <\/em>2013, vol. 3, no. 2, p. 490-499.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>CAPEK, Ign\u00e1c<\/u>. Dispersions based on noble metal nanoparticles-DNA conjugates. In <em>Advances in Colloid and Interface Science<\/em>, 2011, vol. 163, no. 2, p.123-143.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>FONG, K.E. &#8211; YUNG, L.Y.L. Localized surface plasmon resonance: A unique property of plasmonic nanoparticles for nucleic acid detection. In <em>Nanoscale<\/em>, 2013, vol. 5, no. 24, p. 12043-12071.<\/li>\n<li>FONG, K.E. &#8211; YUNG, L.Y.L. Head-to-tail: Hybridization and single-mismatch discrimination in metallic nanoparticle-DNA assembly. In <em>RSC Advances<\/em>, 2013, vol. 3, no. 17, p. 6076-6084.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>CAPEK, Ign\u00e1c<\/u>. On photoinduced miniemulsion polymerization of butyl acrylate with clay. In <em>Designed Monomers and Polymers<\/em>, 2012, vol. 15, no. 4, p. 345-355.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>JASINSKI, F. &#8211; LOBRY, E. &#8211; CHEMTOB, A. &#8211; CROUTXE-BARGHORN, C. &#8211; CRIQUI, A. Photopolymerizable monomer miniemulsions: Why does droplet size matter? In <em>Macromolecular Chemistry and Physics<\/em>, 2013, vol. 214, no. 15, p. 1669-1676.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>CIG\u00c1\u0147, Alexander<\/u> &#8211; <u>MA\u0147KA, J\u00e1n<\/u> &#8211; <u>KOP\u010cOK, Michal<\/u> &#8211; <u>POLOVKOV\u00c1, J\u00falia<\/u> &#8211; <u>JURD\u00c1K, Peter<\/u> &#8211; <u>KO\u0147AKOVSK\u00dd, Anton<\/u>. Effects of europium-barium nonstoichiometry in EBCO123 systems on transition and magnetization properties. In <em>Acta Physica Polonica A<\/em>, 2008, vol. 113, no. 1, p. 219-222.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>AKDURAN, N. Gamma irradiation effects on EuBa<sub>2<\/sub>Cu<sub>3<\/sub>O<sub>7 <\/sub>high temperature superconductor. In <em>Radiation Physics and Chemistry<\/em>, 2013, vol. 83, p. 61-66.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">COREMANS, J. &#8211; SPANOGHE, M. &#8211; <u>BUDINSK\u00dd, \u013dubo\u0161<\/u> &#8211; STERCKX, J. &#8211; LUYPAERT, R. &#8211; EISENDRATH, H. &#8211; OSTEAUX, M. A comparison between different imaging strategies for diffusion measurements with the centric phase-encoded TurboFLASH seguence. In <em>Journal of Magnetic Resonance<\/em>, 1997, vol. 124, p. 323-342.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>YAMASHITA, K. &#8211; YOSHIURA, T. &#8211; HIWATASHI, A. &#8211; OBARA, M. &#8211; TOGAO, O. &#8211; MATSUMOTO, N. &#8211; KIKUCHI, K. &#8211; HONDA, H. High-resolution three-dimensional diffusion-weighted imaging of middle ear cholesteatoma at 3.0 T MRI: Usefulness of 3D turbo field-echo with diffusion-sensitized driven-equilibrium preparation (TFE-DSDE) compared to single-shot echo-planar imaging. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 9, p. E471-E475.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">\u010cAPLOVI\u010cOV\u00c1, M. &#8211; <u>BILLIK, Peter<\/u> &#8211; \u010cAPLOVI\u010c, \u013d. &#8211; BREZOV\u00c1, V. &#8211; TUR\u00c1NI, T. &#8211; PLESCH, G. &#8211; FEJDI, P. On the true morphology of highly photoactive anatase TiO<sub>2<\/sub> nanocrystals. In <em>Applied Catalysis B: Environmental<\/em>, 2012, vol. 117-118, p. 224-235.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>KIM, J.-Y. &#8211; LEE, D. &#8211; KIM, H.J. &#8211; LIM, I. &#8211; LEE, W.I. &#8211; JANG, D.-J. Annealing-free preparation of anatase TiO<sub>2<\/sub> nanopopcorns on Ti foil via a hydrothermal process and their photocatalytic and photovoltaic applications. In <em>Journal of Materials Chemistry A<\/em>, 2013, vol. 1, no. 19, p. 5982-5988.<\/li>\n<li>RAMOS-DELGADO, N.A. &#8211; GRACIA-PINILLA, M.A. &#8211; MAYA-TREVINO, L. &#8211; HINOJOSA-REYES, L. &#8211; GUZMAN-MAR, J.L. &#8211; HERNANDEZ-RAMIREZ, A. Solar photocatalytic activity of TiO<sub>2<\/sub> modified with WO<sub>3<\/sub> on the degradation of an organophosphorus pesticide. In <em>Journal of Hazardous Materials<\/em>, 2013, vol. 263, 1, p. 36-44.<\/li>\n<li>LI, X.- ZHONG, Y. &#8211; LI, Q. &#8211; WANG, L. Efficient photocatalytic degradation of rhodamine B over CdS sensitized SiO<sub>2<\/sub>-HNb<sub>3<\/sub>O<sub>8 <\/sub>under visible light. In <em>Journal of Colloid and Interface Science<\/em>, 2013, vol. 405, p. 226-232.<\/li>\n<li>POOKMANEE, P. &#8211; PHIWCHAI, I. &#8211; YORIYA, S. &#8211; PUNTHAROD, R. &#8211; SANGSRICHAN, S. &#8211; PHANICHPHANT, S. Titanium dioxide (TiO<sub>2<\/sub>) nanopowder prepared by the low temperature solvothermal method. In <em>Ferroelectrics<\/em>, 2013, vol. 457, no. 1, p. 30-38.<\/li>\n<li>KLANG, V. &#8211; VALENTA, C. &#8211; MATSKO, N.B. Analytical electron microscopy for characterization of fluid or semi-solid multiphase systems containing nanoparticulate material. In <em>Pharmaceutics<\/em>, 2013, vol. 5, no. 1, p. 115-126.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">DOMAYER, S. &#8211; WELSCH, G.H. &#8211; DOROTKA, R. &#8211; MAMISCH, T.C. &#8211; MARLOVITS, S. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; TRATTNIG, S. MRI monitoring of cartilage repairin the knee: A review. In <em>Seminars in Musculoskeletal Radiology<\/em>, 2008, vol. 12, no. 4, p. 302-317.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 6<\/p>\n<ol>\n<li>WIEWIORSKI, M. &#8211; MISKA, M. &#8211; KRETZSCHMAR, M. &#8211; STUDLER, U. &#8211; BIERI, O. &#8211; VALDERRABANO, V. Delayed gadolinium-enhanced MRI of cartilage of the ankle joint: Results after autologous matrix-induced chondrogenesis (AMIC)-aided reconstruction of osteochondral lesions of the talus. In <em>Clinical Radiology<\/em>, 2013, vol. 68, no. 10, p. 1031-1038.<\/li>\n<li>EDWARDS, P.K. &#8211; ACKLAND, T.R. &#8211; EBERT, J.R. Accelerated weightbearing rehabilitation after matrix-induced autologous chondrocyte implantation in the tibiofemoral joint early clinical and radiological outcomes. In <em>American Journal of Sports Medicine<\/em>, 2013, vol. 41, no. 10, p. 2314-2324.<\/li>\n<li>EBERT, J.R. &#8211; SMITH, A. &#8211; EDWARDS, P.K. &#8211; HAMBLY, K. &#8211; WOOD, D.J. &#8211; ACKLAND, T.R. Factors predictive of outcome 5 years after matrix-induced autologous chondrocyte implantation in the tibiofemoral joint. In <em>American Journal of Sports Medicine<\/em>, 2013, vol. 41, no. 6, p. 1245-1254.<\/li>\n<li>BLACKMAN, A.J. &#8211; SMITH, M.V. &#8211; FLANIGAN, D.C. &#8211; MATAVA, M.J. &#8211; WRIGHT, R.W. &#8211; BROPHY, R.H. Correlation between magnetic resonance imaging and clinical outcomes after cartilage repair surgery in the knee a systematic review and meta-analysis. In <em>American Journal of Sports Medicine<\/em>, 2013, vol. 41, no. 6, p. 1426-1434.<\/li>\n<li>CARSTENS, A. &#8211; KIRBERGER, R.M. &#8211; DAHLBERG, L.E. &#8211; PROZESKY, L. &#8211; FLETCHER, L. &#8211; LAMMENTAUSTA, E. Validation of delayed gadolinium-enhanced magnetic resonance imaging of cartilage and T2 mapping for quantifying distal metacarpus\/metatarsus cartilage thickness in thoroughbred racehorses. In <em>Veterinary Radiology &amp; Ultrasound<\/em>, 2013, vol. 54, no. 2, p. 139-148.<\/li>\n<li>CHEN, B. &#8211; ROEDER, E. &#8211; VUISSOZ, P.-A. &#8211; GILLET, P. &#8211; FELBLINGER, J. &#8211; BEAUMONT, M. &#8211; PINZANO, A. Respective interest of T2 mapping and diffusion tensor imaging in assessing porcine knee cartilage with MR at 3 Teslas. In <em>Bio-Medical Materials and Engineering<\/em>, 2013, vol. 23, no. 4, p. 263-272.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>BRIX, M.O. &#8211; CHIARI, C. Cartilage repair. In <em>Zeitschrift fur Orthopadie und Unfallchirurgie<\/em>, 2012, vol. 150, no. 4, p. e121-e142.<\/li>\n<li>WANG, Z. &#8211; LI, Z. &#8211; CHEN, G. &#8211; YANG, H.-B. &#8211; LU, X.-B. Arthroscopic treatment of osteochondral injury of the knee using bioabsorbable cartilage screws. In <em>Chinese Journal of Tissue Engineering Research<\/em>, 2012, vol. 16, no. 38, p. 7203-7206.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">DOMAYER, S. &#8211; WELSCH, G.H. &#8211; NEHRER, S. &#8211; CHIARI, C. &#8211; DOROTKA, R. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; MAMISCH, T.C. &#8211; YAYON, A. &#8211; TRATTNIG, S. T2 mapping and dGEMRIC after autologous chondrocyte implantation with a fibrin-based scaffold in the knee: Preliminary results. In <em>European Journal of Radiology<\/em>, 2010, vol. 73, p. 636-642.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>PALMER, A.J.R. &#8211; BROWN, C.P. &#8211; MCNALLY, E.G. &#8211; PRICE, A.J. &#8211; TRACEY, I. &#8211; JEZZARD, P. &#8211; CARR, A.J. &#8211; GLYN-JONES, S. Non-invasive imaging of cartilage in early osteo arthritis. In <em>Bone &amp; Joint Journal<\/em>, 2013, vol. 95B, no. 6, p. 738-746.<\/li>\n<li>DURKAN, M.G. &#8211; SZUMOWSKI, J. &#8211; BROWN, D.S. &#8211; FOSS, E.W. &#8211; CRAWFORD, D.C. In vivo MRI of fresh stored osteochondral allograft transplantation with delayed gadolinium-enhanced MRI of cartilage: Protocol considerations and recommendations. In <em>Magnetic Resonance in Medicine<\/em>, 2013, vol. 69, no. 6, p. 1745-1753.<\/li>\n<li>SHETTY, A.A. &#8211; KIM, S.J. &#8211; BILAGI, P. &#8211; STELZENEDER, D. Autologous collagen-induced chondrogenesis: Single-stage arthroscopic cartilage repair technique. In <em>Orthopedics<\/em>, 2013, vol. 36, no. 5, p. E648-E652.<\/li>\n<li>KIM, J.-M. &#8211; MA, C.B. Quantitative MRI of the ACL-injured and reconstructed knee. In <em>Clinics in Sports Medicine<\/em>, 2013, vol. 32, no. 1, p. 21.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>STEIN, S. &#8211; STRAUSS, E. &#8211; BOSCO III, J. Advances in the surgical management of articular cartilage defects: Autologous chondrocyte implantation techniques in the pipeline. In <em>Cartilage<\/em>, 2013, vol. 4, no. 1, p. 12-19.<\/li>\n<li>DALLAUDI\u00c8RE, B. &#8211; DAUTRY, R. &#8211; PEROZZIELLO, A. &#8211; MANELFE, J. &#8211; LORIAUT, P. &#8211; LARBI, A. &#8211; PARIS, G. &#8211; SILVESTRE, A. &#8211; KOCH, P. &#8211; BOYER, P. &#8211; SCHOUMAN-CLAEYS, E. &#8211; BOUSSON, V. &#8211; LAREDO, J.-D. MRI T2 mapping sequence concordance with CT-arthrography for knee cartilaginous lesions in traumatic and degenerative lesions. In <em>Journal de Traumatologie du Sport<\/em>, 2013, vol. 30, no. 3, p. 146-153.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">FARKA\u0160OV\u00c1, T. &#8211; GURSK\u00c1, S. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u> &#8211; G\u00c1BELOV\u00c1, A. Significance of amino acid substitution variants of DNA repair genes in radiosusceptibility of cervical cancer patients; a pilot study. In <em>Neoplasma<\/em>, 2008, vol. 55, no. 4, p. 330-337.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>LI, Q. &#8211; WANG, J.-M. &#8211; PENG, Y. &#8211; ZHANG, S.-H. &#8211; REN, T. &#8211; LUO, H. &#8211; CHENG, Y. &#8211; WANG, D. Association of DNA base-excision repair XRCC1, OGG1 and APE1 gene polymorphisms with nasopharyngeal carcinoma susceptibility in a chinese population. In <em>Asian Pacific Journal of Cancer Prevention<\/em>, 2013, vol. 14, no. 9, p. 5145-5151.<\/li>\n<li>CHEN, Y. &#8211; ZHU, M. &#8211; ZHANG, Z. &#8211; JIANG, G. &#8211; FU, X. &#8211; FAN, M. &#8211; SUN, M. &#8211; WEI, Q. &#8211; ZHAO, K. A NEIL1 Single nucleotide polymorphism (rs4462560) predicts the risk of radiation-induced toxicities in esophageal cancer patients treated with definitive radiotherapy. In <em>Cancer<\/em>, 2013, vol. 119, no. 23, p. 4205-4211.<\/li>\n<li>KIRKALI, G. &#8211; JARUGA, P. &#8211; REDDY, P.T. &#8211; TONA, A. &#8211; NELSON, B.C. &#8211; LI, M. &#8211; WILSON, D.M., III &#8211; DIZDAROGLU, M. Identification and quantification of DNA repair protein apurinic\/apyrimidinic endonuclease 1 (APE1) in human cells by liquid chromatography\/isotope-dilution tandem mass spectrometry. In <em>PLoS One<\/em>, 2013, vol. 8, no. 7.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">FRAGONAS, E. &#8211; MLYN\u00c1RIK, V. &#8211; <u>JELL\u00da\u0160, Vladim\u00edr<\/u> &#8211; MICALI, F. &#8211; PIRAS, A. &#8211; TOFFANIN, R. &#8211; RIZZO, R. &#8211; VITTUR, F. Correlation between biochemical composition and magnetic resonance appearance of articular cartilage. In <em>Osteoarthritis and Cartilage<\/em>, 1998, vol. 6, no. 1, p. 24-32.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>TSAI, P.H. &#8211; LEE, H.S. &#8211; SIOW, T.Y. &#8211; CHANG, Y.C. &#8211; CHOU, M.C. &#8211; LIN, M.H. &#8211; LIN, C.Y. &#8211; CHUNG, H.W. &#8211; HUANG, G.S. Sequential change in T2*values of cartilage, meniscus, and subchondral bone marrow in a rat model of knee osteoarthritis. In <em>PLoS One<\/em>, 2013, vol. 8, no. 10.<\/li>\n<li>KIJOWSKI, R. &#8211; BLANKENBAKER, D.G. &#8211; DEL RIO, A.M. &#8211; BAER, G.S. &#8211; GRAF, B.K. Evaluation of the articular cartilage of the knee joint: Value of adding a T2 mapping sequence to a routine MR imaging protocol. In <em>Radiology<\/em>, 2013, vol. 267, no. 2, p. 503-513.<\/li>\n<li>MANAC&#8217;H, Y.G. &#8211; PERIE, D. &#8211; GILBERT, G. &#8211; BEAUDOIN, G. Sensitivity of multi-parametric MRI to the compressive state of the isolated intervertebral discs. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 1, p. 36-43.<\/li>\n<li>JOBKE, B. &#8211; BOLBOS, R. &#8211; SAADAT, E. &#8211; CHENG, J. &#8211; LI, X.J. &#8211; MAJUMDAR, S. Mechanism of disease in early osteoarthritis: application of modern MR imaging techniques &#8211; a technical report. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 1, p. 156-161.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>FROLLO, Ivan<\/u> &#8211; <u>ANDRIS, Peter<\/u> &#8211; <u>STROLKA, Igor<\/u>. Measuring method and magnetic field homogeneity optimisation for magnets used in NMR-imaging. In <em>Measurement Science Review<\/em>, 2001, vol. 1, p. 9-12.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>GUO, L.H. &#8211; YANG, W.H. &#8211; YOU, X.F. &#8211; WEI, S.F. Optimization of active shimming for magnetic resonance imaging magnet. In <em>Applied Mechanics and Materials<\/em>, 2013, vol. 327, p. 752-755.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>FROLLO, Ivan<\/u> &#8211; <u>ANDRIS, Peter<\/u> &#8211; <u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; <u>VOJT\u00cd\u0160EK, Lubom\u00edr<\/u> &#8211; <u>DERMEK, Tom\u00e1\u0161<\/u> &#8211; <u>VALKOVI\u010c, Ladislav<\/u>. Measurement and imaging of planar electromagnetic phantoms based on NMR imaging methods. In <em>Measurement Science Review<\/em>, 2010, vol. 10, no. 3, p. 97-101.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>FARUQUE, M.R.I. &#8211; ISLAM, M.T. &#8211; ALI, M.A.M. A new design of metamaterials for SAR reduction. In <em>Measurement Science Review<\/em>, 2013, vol. 13, no. 2, p. 70-74.<\/li>\n<li>MARCON, P. &#8211; BARTUSEK, K. &#8211; MIKULKA, J. &#8211; GESCHEIDTOVA, E. Statistics-based classification of tissues in the mandibular region. In <em>36th International Conference on Telecommunications and Signal Processing (TSP)<\/em>. 2013, p. 624-627.<\/li>\n<li>NOVICKIJ, V. &#8211; GRAINYS, A. &#8211; NOVICKIJ, J. Finite element method analysis of microfluidic channel with integrated dielectrophoresis electrodes for biological cell permeabilization and manipulation. In <em>Measurement Science Review<\/em>, 2013, vol. 13, no. 3, p. 152-156.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>MARCON, P. &#8211; MIKULKA, J. &#8211; GESCHEIDTOVA, E. &#8211; BARTUSEK, K. &#8211; SPRLAKOVA, A. Statistical evaluation of diffusion-weighted imaging of the human tissues. In <em>Progress in Electromagnetics Research Symposium (PIERS 2013)<\/em>, 2013, p. 43-47.<\/li>\n<li>MARCON, P. &#8211; BARTUSEK, K. Bone marrow analysis in multi-contrast MR images. In <em>Progress in Electromagnetics Research Symposium (PIERS 2013)<\/em>, 2013, p. 29-32.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">G\u00c1BELOV\u00c1, A. &#8211; FARKA\u0160OV\u00c1, T. &#8211; GURSK\u00c1, S. &#8211; MACH\u00c1\u010cKOV\u00c1, Z. &#8211; LUKA\u010cKO, P. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u>. Radiosensitivity of peripheral blood lymphocytes from healthy donors and cervical cancer patients; the correspondence of in vitro data with the clinical outcome. In <em>Neoplasma<\/em>, 2008, vol. 55, no. 3, p. 182-191.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>GDOWICZ-KLOSOK, A. &#8211; WIDEL, M. &#8211; RZESZOWSKA-WOLNY, J. The influence of XPD, APE1, XRCC1, and NBS1 polymorphic variants on DNA repair in cells exposed to X-rays. In <em>Mutation Research-Genetic Toxicology and Environmental Mutagenesis<\/em>, 2013, vol. 755, no. 1, p. 42-48.<\/li>\n<li>CHIOLO, I. &#8211; TANG, J. &#8211; GEORGESCU, W. &#8211; COSTES, S.V. Nuclear dynamics of radiation-induced foci in euchromatin and heterochromatin. In <em>Mutation Research-Fundamental and Molecular Mechanisms of Mutagenesis<\/em>, 2013, vol. 750, no. 1-2, SI, p. 56-66.<\/li>\n<li>DOU, X. &#8211; WANG, R.-B. &#8211; YAN, H.-J. &#8211; JIANG, S.-M. &#8211; MENG, X.-J. &#8211; ZHU, K.-L. &#8211; XU, X.-Q. &#8211; MU, D.-B. Circulating lymphocytes as predictors of sensitivity to preoperative chemoradiotherapy in rectal cancer cases. In <em>Asian Pacific Journal of Cancer Prevention<\/em>, 2013, vol. 14, no. 6, p. 3881-3885.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">G\u00c4BLER, S. &#8211; STAMPFL, J. &#8211; KOCH, T. &#8211; SEIDLER, S. &#8211; SCH\u00dcLLER, G.C. &#8211; REDL, H. &#8211; <u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; TRATTNIG, S. &#8211; WEIDISCH, R. Determination of the viscoelastic properties of hydrogels based on polyethylene glycol diacrylate (PEG-DA) and human articular cartilage. In <em>International Journal of Materials Engineering Innovation<\/em>, 2009, vol. 1, no. 1, p. 3-20.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>KAZIMIERSKA-DROBNY, K. &#8211; KACZMAREK, M. Identification of diffusive transport properties of poly(vinyl alcohol) hydrogels from reservoir test. In <em>Materials Science &amp; Engineering C-Materials for Biological Applications<\/em>, 2013, vol. 33, no. 8, p. 4533-4538.<\/li>\n<li>BUYANOV, A.L. &#8211; GOFMAN, I.V. &#8211; KHRIPUNOV, A.K. &#8211; TKACHENKO, A.A. &#8211; USHAKOVA, E.E. High-strength biocompatible hydrogels based on poly(acrylamide) and cellulose: Synthesis, mechanical properties and perspectives for use as artificial cartilage. In <em>Polymer Science Series A<\/em>, 2013, vol. 55, no. 5, p. 302-312.<\/li>\n<li>DRIRA, Z. &#8211; YADAVALLI, V.K. Nanomechanical measurements of polyethylene glycol hydrogels using atomic force microscopy. In <em>Journal of the Mechanical Behavior of Biomedical Materials<\/em>, 2013, vol. 18, p. 20-28.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>GREND\u00c1R, Mari\u00e1n<\/u> &#8211; NIVEN, R.K. The P\u00f3lya information divergence. In <em>Information Sciences<\/em>, 2010, vol. 180, p. 4189-4194.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>GYONGYOSI, L. &#8211; IMRE, S. Algorithmic superactivation of asymptotic quantum capacity of zero-capacity quantum channels. In <em>Information Sciences<\/em>, 2013, vol. 222, p. 737-753.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>GREND\u00c1R, Mari\u00e1n<\/u>. Is the p-value a good measure of evidence? Asymptotic consistency criteria. In <em>Statistics &amp; Probability Letters<\/em>, 2012, vol. 82, no. 6, p. 1116-1119.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 3<\/p>\n<ol>\n<li>PATRIOTA, A.G. A classical measure of evidence for general null hypotheses. In <em>Fuzzy Sets and Systems<\/em>, 2013, vol. 233, p. 74-88.<\/li>\n<li>BICKEL, D.R. Pseudo-likelihood, explanatory power, and bayes&#8217;s theorem [Comment on &#8220;a likelihood paradigm for clinical trials&#8221;]. In <em>Journal of Statistical Theory and Practice<\/em>, 2013, vol. 7, no. 2, p. 178-182.<\/li>\n<li>VERGNAULT, M. Principle and reasoning in biostatistics [Principe et raisonnement en biostatistiques]. In <em>Kinesitherapie<\/em>, 2013, vol. 13, no. 138, p. 20-24.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">GRUWEL, M.L.H. &#8211; <u>LATTA, Peter<\/u> &#8211; TANASIEWICZ, M. &#8211; VOLOTOVSKYY, V. &#8211; \u0160R\u00c1MEK, M. &#8211; TOMANEK, B. MR imaging of teeth using a silent single point imaging technique. In <em>Applied Physics A-Materials Science &amp; Processing<\/em>, 2007, vol. 88, no. 4, p. 763-767.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>SUN, Y. &#8211; VENTURA, M. &#8211; OOSTERWIJK, E. &#8211; JANSEN, J.A. &#8211; WALBOOMERS, X.F. &#8211; HEERSCHAP, A. Zero echo time magnetic resonance imaging of contrast-agent-enhanced calcium phosphate bone defect fillers. In <em>Tissue Engineering Part C-Methods<\/em>, 2013, vol. 19, no. 4, p. 281-287.<\/li>\n<li>BRACHER, A.-K. &#8211; HOFMANN, C. &#8211; BORNSTEDT, A. &#8211; HELL, E. &#8211; JANKE, F. &#8211; ULRICI, J. &#8211; HALLER, B. &#8211; GEIBEL, M.-A. &#8211; RASCHE, V. Ultrashort echo time (UTE) MRI for the assessment of caries lesions. In <em>Dentomaxillofacial Radiology<\/em>, 2013, vol. 42, no. 6.<\/li>\n<li>BAKKER, Ch.J.G. &#8211; DE LEEUW, H. &#8211; DE MAAT, G.H. van &#8211; VAN GORP, J.S. &#8211; BOUWMAN, J.G. &#8211; SEEVINCK, P.R. On the utility of spectroscopic imaging as a tool for generating geometrically accurate MR images and parameter maps in the presence of field inhomogeneities and chemical shift effects. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 1, p. 86-95.<\/li>\n<li>BAKKER, Ch.J.G. &#8211; VAN GORP, J.S. &#8211; VERWOERD, J.L. &#8211; WESTRA, A.H. &#8211; BOUWMAN, J.G. &#8211; ZIJLSTRA, F. &#8211; SEEVINCK, P.R. Multiple single-point imaging (mSPI) as a tool for capturing and characterizing MR signals and repetitive signal disturbances with high temporal resolution: The MRI scanner as a high-speed camera. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 7, p. 1037-1043.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">GRUWEL, M.L.H. &#8211; <u>LATTA, Peter<\/u> &#8211; MATWIY, B. &#8211; TOMANEK, B. Characterization of food stuffs using Magnetic Resonance Elastography. In <em>Food Research International<\/em>, 2010, vol. 43, no. 8, p. 2087-2092.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>MARCONE, M.F. &#8211; WANG, S. &#8211; ALBABISH, W. &#8211; NIE, S. &#8211; SOMNARAIN, D. &#8211; HILL, A. Diverse food-based applications of nuclear magnetic resonance (NMR) technology. In <em>Food Research International<\/em>, 2013, vol. 51, no. 2, p. 729-747.<\/li>\n<li>VAN AS, H. &#8211; VAN DUYNHOVEN, J. MRI of plants and foods. In <em>Journal of Magnetic Resonance<\/em>, 2013, vol. 229, p. 25-34.<\/li>\n<li>DAMEZ, J.-L. &#8211; CLERJON, S. Quantifying and predicting meat and meat products quality attributes using electromagnetic waves: An overview. In <em>Meat Science<\/em>, 2013, vol. 95, no. 4, SI, p. 879-896.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">GRUWEL, M.L.H. &#8211; <u>LATTA, Peter<\/u> &#8211; SBOTO-FRANKENSTEIN, U. &#8211; GERVAI, P. Visualization of water transport pathways in plants using diffusion tensor imaging. In <em>Progress in Electromagnetics Research C<\/em>, 2013, vol. 35, p. 73-82.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>WANG, M.T. &#8211; TYREE, M.T. &#8211; WASYLISHEN, R.E. Magnetic resonance imaging of water ascent in embolized xylem vessels of grapevine stem segments. In <em>Canadian Journal of Plant Science<\/em>, 2013, vol. 93, no. 5, p. 879-893.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>GUTTENOV\u00c1, Jana<\/u> &#8211; <u>\u0160EV\u010c\u00cdK, Robert<\/u>. Primary length standard adjustment. In <em>Wave and Quantum Aspects of Contemporary Optics : 15th Czech-Polish-Slovak Conference<\/em>. &#8211; SPIE, 2007.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>HRABINA, J. &#8211; LAZAR, J. &#8211; HOLA, M. &#8211; CIP, O. Investigation of short-term amplitude and frequency fluctuations of lasers for interferometry. In <em>Measurement Science Review<\/em>, 2013, vol. 13, no. 2, p. 63-69.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>HAIN, Miroslav<\/u> &#8211; <u>BARTL, J\u00e1n<\/u> &#8211; <u>JACKO, Vlado<\/u>. Active infrared thermography in non-destructive testing. In <em>MEASUREMENT 2009 : 7th International Conference on Measurement<\/em>. &#8211; Bratislava : Institute of Measurement Science SAS, 2009, p. 339-343.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>BOSHNAKOV, K.P. &#8211; PETKOV, V.I. &#8211; DOUKOVSKA, L.A. &#8211; VASSILEVA, S.I. &#8211; MIHAILOV, E.G. &#8211; KOJNOV, S.L. Predictive maintenance model-based approach for objects exposed to extremely high temperatures. In <em>Signal Processing Symposium, SPS 2013<\/em>, art. no. 6623621.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>HAIN, Miroslav<\/u> &#8211; <u>BARTL, J\u00e1n<\/u> &#8211; <u>JACKO, Vlado<\/u>. Multispectral analysis of cultural heritage artefacts. In <em>Measurement Science Review<\/em>, 2003, vol. 3, p. 9-12.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>PENTZIEN, S. &#8211; RABIN, I. &#8211; HAHN, O. &#8211; KR\u00dcGER, J. &#8211; KLEBER, F. &#8211; HOLLAUS, F. &#8211; DIEM, M. &#8211; SABLATNIG, R. Can modern technologies defeat Nazi censorship? In <em>Lecture Notes In Computer Science, 7729 LNCS<\/em>, 2013, p. 13-24.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>HAIN, Miroslav<\/u> &#8211; <u>BARTL, J\u00e1n<\/u> &#8211; <u>JACKO, Vlado<\/u>. The use of infrared radiation in measurement and non-destructive testing. In <em>Measurement Science Review<\/em>, 2005, vol. 5, p. 10-14.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>BENDADA, A. &#8211; SFARRA, S. &#8211; GENEST, M. &#8211; PAOLETTI, D. &#8211; ROTT, S. &#8211; TALMY, E. &#8211; IBARRA-CASTANEDO, C. &#8211; MALDAGUE, X. How to reveal subsurface defects in Kevlar (R) composite materials after an impact loading using infrared vision and optical NDT techniques? In <em>Engineering Fracture Mechanics<\/em>, 2013, vol. 108, SI, p. 195-208.<\/li>\n<li>SFARRA, S. &#8211; IBARRA-CASTANEDO, C. &#8211; SANTULLI, C. &#8211; SARASINI, F. &#8211; AMBROSINI, D. &#8211; PAOLETTI, D. &#8211; MALDAGUE, X. Eco-friendly laminates: From the indentation to non-destructive evaluation by optical and infrared monitoring techniques. In <em>Strain<\/em>, 2013, vol. 49, no. 2, p. 175-189.<\/li>\n<li>DJELTI, R. &#8211; BENTATA, S. &#8211; AZIZ, Z. &#8211; BESBES, A. Mixed disorder in GaAs\/Al<sub>x<\/sub>Ga<sub>1-x<\/sub>As superlattices and its effect on the range of wavelength infrared lasers. In <em>Optik<\/em>, 2013, vol. 124, no. 19, p. 3812-3815.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">HRACHOV\u00c1, J. &#8211; <u>BILLIK, Peter<\/u> &#8211; FAJNOR, V. Influence of organic surfactants on structural stability of mechanochemically treated bentonite. In <em>Journal of Thermal Analysis and Calorimetry<\/em>, 2010, vol. 101, p. 161-168.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>CHEN, Y.-J. &#8211; LUO, Y.-F. &#8211; LI, B. &#8211; L\u00dc, W.-X. &#8211; JIA, Z.-X. &#8211; JIA, D.-M. &#8211; HE, Y.-L. &#8211; ZHANG, X.-Q. Amino-functionalized montmorillonite modified via mortar grinding. In <em>Huanan Ligong Daxue Xuebao\/Journal of South China University of Technology (Natural Science), <\/em>2013, vol. 41, no. 6, p. 121-126.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">HUBKA, P. &#8211; <u>ROS\u00cdK, Vladim\u00edr<\/u> &#8211; <u>\u017dDI\u0147\u00c1K, Jaroslav<\/u> &#8211; <u>TY\u0160LER, Milan<\/u> &#8211; HUL\u00cdN, I. Independent component analysis of electrogastrographic signals. In <em>Measurement Science Review<\/em>, 2005, vol. 5, no. 2, p. 21-24.<\/span><\/li>\n<\/ul>\n<p>Other citations: 1<\/p>\n<ol>\n<li>ZAVALA-FERNANDEZ, H. &#8211; KANIA, M. &#8211; JANUSEK, D. &#8211; MANIEWSKI, R. Application of idependent component analysis for rejection of motion artefact in BSPM recorded during exercise. In <em>MEASUREMENT 2013 : 9th International Conference on Measurement<\/em>, 2013, p. 85-88.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">CHMEL\u00cdK, M. &#8211; KUKUROVA, I.J. &#8211; GRUBER, S. &#8211; KR\u0160\u0160\u00c1K, M. &#8211; <u>VALKOVI\u010c, Ladislav<\/u> &#8211; TRATTNIG, S. &#8211; BOGNER, W. Fully adiabatic 31P 2D-CSI with reduced chemical shift displacement error at 7 T &#8211; GOIA-1D-ISIS\/2D-CSI. In <em>Magnetic Resonance in Medicine<\/em>, 2013, vol. 69, no. 5, p. 1233-1244.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>MONNINGHOFF, C. &#8211; LADD, M.E. &#8211; FORSTING, M. 7-Tesla-MRI in neuroradiology possibilities and perspectives. In <em>Nervenheilkunde<\/em>, 2013, vol. 32, no. 7, p. 485-492.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">CHOLUJOV\u00c1, D. &#8211; JAKUB\u00cdKOV\u00c1, J. &#8211; KUBE\u0160, M. &#8211; <u>ARENDACK\u00c1, Barbora<\/u> &#8211; SAP\u00c1K, M. &#8211; IHNATKO, R. &#8211; SEDL\u00c1K, J. Comparative study of four fluorescent probes for evaluation of natural killer cell cytotoxicity assays. In <em>Immunobiology<\/em>, 2008, vol. 213, no. 8, p. 629-640.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>GOURDAIN, P. &#8211; BOUCAU, J. &#8211; KOURJIAN, G. &#8211; LAI, N. &#8211; DUONG, E. &#8211; LE GALL, S. A real-time killing assay to follow viral epitope presentation to CD8 T cells. In <em>Journal of Immunological Methods<\/em>, 2013, vol. 398, p. 60-67.<\/li>\n<li>MOLLER-LARSEN, A. &#8211; BRUDEK, T. &#8211; PETERSEN, T. &#8211; PETERSEN, E.L. &#8211; AAGAARD, M. &#8211; HANSEN, D.T. &#8211; CHRISTENSEN, T. Flow cytometric assay detecting cytotoxicity against human endogenous retrovirus antigens expressed on cultured multiple sclerosis cells. In <em>Clinical and Experimental Immunology<\/em>, 2013, vol. 173, no. 3, p. 398-410.<\/li>\n<li>WANG, X. &#8211; LEE, D.A. &#8211; WANG, Y. &#8211; WANG, L. &#8211; YAO, Y. &#8211; LIN, Z. &#8211; CHENG, J. &#8211; ZHU, S. Membrane-bound interleukin-21 and CD137 ligand induce functional human natural killer cells from peripheral blood mononuclear cells through STAT-3 activation. In <em>Clinical and Experimental Immunology<\/em>, 2013, vol. 172, no. 1, p. 104-112.<\/li>\n<li>CHEN, H. &#8211; JIN, Y. &#8211; CHEN, T. &#8211; ZHANG, M.Q. &#8211; MA, W.L. &#8211; XIONG, X.Z. &#8211; TAO, X.N. The antitumor effect of human cord blood-derived dendritic cells modified by the livin alpha gene in lung cancer cell line. In <em>Oncology Reports<\/em>, 2013, vol. 29, no. 2, p. 619-627.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>CHVOSTEKOV\u00c1, Martina<\/u>. Simultaneous tolerance intervals in a linear regression. In <em>Aplimat : Journal of Applied Mathematics<\/em>, 2010, vol. 3, no. 3, p. 223-230.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>MAHER, B.A. &#8211; POSSOLO, A. Statistical models for use of palaeosol magnetic properties as proxies of palaeorainfall. In <em>Global and Planetary Change<\/em>, 2013, vol. 111, p. 280-287.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>CHVOSTEKOV\u00c1, Martina<\/u>. Simultaneous two-sided tolerance intervals for a univariate linear regression model. In <em>Communications in Statistics : Theory and Methods<\/em>, 2013, vol. 42, no. 7, p. 1145-1152.<\/span><\/li>\n<\/ul>\n<p>Other citations: 1<\/p>\n<ol>\n<li>WITKOVSK\u00dd, V. On exact multiple-use linear calibration confidence intervals. In <em>MEASUREMENT 2013 : 9th International Conference on Measurement<\/em>, 2013, p. 35-38.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; BITT\u0160ANSK\u00dd, M. &#8211; <u>MAJDI\u0160OV\u00c1, Zuzana<\/u> &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; SULZBACHER, I. &#8211; G\u00c4BLER, S. &#8211; STAMPFL, J. &#8211; SCH\u00dcLLER, G.C. &#8211; TRATTNIG, S. In vitro determination of biomechanical properties of human articular cartilage in osteoarthritis using multi-parametric MRI. In <em>Journal of Magnetic Resonance<\/em>, 2009, vol. 197, p. 40-47.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 6<\/p>\n<ol>\n<li>RICHARD, F. &#8211; VILLARS, M. &#8211; THIBAUD, S. Viscoelastic modeling and quantitative experimental characterization of normal and osteoarthritic human articular cartilage using indentation. In <em>Journal of the Mechanical Behavior of Biomedical Materials<\/em>, 2013, vol. 24, p. 41-52.<\/li>\n<li>WANG, N. &#8211; CHOPIN, E. &#8211; XIA, Y. The effects of mechanical loading and gadolinium concentration on the change of T1 and quantification of glycosaminoglycans in articular cartilage by microscopic MRI. In <em>Physics in Medicine and Biology<\/em>, 2013, vol. 58, no. 13, p. 4535-4547.<\/li>\n<li>PALMER, A.J.R. &#8211; BROWN, C.P. &#8211; MCNALLY, E.G. &#8211; PRICE, A.J. &#8211; TRACEY, I. &#8211; JEZZARD, P. &#8211; CARR, A.J. &#8211; GLYN-JONES, S. Non-invasive imaging of cartilage in early osteo arthritis. In <em>Bone &amp; Joint Journal<\/em>, 2013, vol. 95B, no. 6, p. 738-746.<\/li>\n<li>WONG, C.S. &#8211; YAN, C.H. &#8211; GONG, N.J. &#8211; LI, T. &#8211; CHAN, Q. &#8211; CHU, Y.C. Imaging biomarker with T1 rho and T2 mappings in osteoarthritis In vivo human articular cartilage study. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 4, p. 647-650.<\/li>\n<li>BINKS, D.A. &#8211; HODGSON, R.J. &#8211; RIES, M.E. &#8211; FOSTER, R.J. &#8211; SMYE, S.W. &#8211; MCGONAGLE, D. &#8211; RADJENOVIC, A. Quantitative parametric MRI of articular cartilage: A review of progress and open challenges. In <em>British Journal of Radiology<\/em>, 2013, vol. 86, no. 1023.<\/li>\n<li>ZILKENS, C. &#8211; MIESE, F. &#8211; HERTEN, M. &#8211; KURZIDEM, S. &#8211; JAEGER, M. &#8211; KOENIG, D. &#8211; ANTOCH, G. &#8211; KRAUSPE, R. &#8211; BITTERSOHL, B. Validity of gradient-echo three-dimensional delayed gadolinium-enhanced magnetic resonance imaging of hip joint cartilage: A histologically controlled study. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 2, p. E81-E86.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; ZB\u00dd\u0147, \u0160. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; TRATTNIG, S. Regression error estimation significantly improves the region-of-interest statistics of noisy MR images. In <em>Medical Physics<\/em>, 2010, vol. 37, no. 6, p. 2813-2821.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>ANDRIS, P. &#8211; FROLLO, I. NMR spectroscopic imaging method for static magnetic field mapping. In <em>Applied Magnetic Resonance<\/em>, 2013, vol. 44, no. 5, p. 637-647.<\/li>\n<li>ANDRIS, P. &#8211; FROLLO, I. Asymmetric spin echo sequence and requirements on static magnetic field of NMR scanner. In <em>Measurement<\/em>, 2013, vol. 46, no. 4, p. 1530-1534.<\/li>\n<li>FROLLO, I. &#8211; ANDRIS, P. &#8211; PRIBIL, J. &#8211; DERMEK, T. &#8211; GOGOLA, D. Soft magnetic material testing using magnetic resonance imaging. In <em>Advanced Materials Research<\/em>, 2013, vol. 740, p. 618-623.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; WELSCH, G.H. &#8211; B\u00c4R, P. &#8211; KRONNERWETTER, C. &#8211; FUJITA, H. &#8211; TRATTNIG, S. Comparison of 3 T and 7 T MRI clinical sequences for ankle imaging. In <em>European Journal of Radiology<\/em>, 2012, vol. 81, no. 8, p. 1846-1850.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>CHANG, G. &#8211; XIA, D. &#8211; SHERMAN, O. &#8211; STRAUSS, E. &#8211; JAZRAWI, L. &#8211; RECHT, M.P. &#8211; REGATTE, R.R. High resolution morphologic imaging and T2 mapping of cartilage at 7 Tesla: Comparison of cartilage repair patients and healthy controls. In <em>Magnetic Resonance Materials in Physics Biology and Medicine<\/em>, 2013, vol. 26, no. 6, p. 539-548.<\/li>\n<li>SYHA, R. &#8211; SPRINGER, F. &#8211; KETELSEN, D. &#8211; IPACH, I. &#8211; KRAMER, U. &#8211; HORGER, M. &#8211; SCHICK, F. &#8211; GROSSE, U. Achillodynia &#8211; radiological imaging of acute and chronic overuse injuries of the achilles tendon. In <em>Rofo-Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren<\/em>, 2013, vol. 185, no. 11, p. 1044-1058.<\/li>\n<li>BRAUN, H.J. &#8211; DRAGOO, J.L. &#8211; HARGREAVES, B.A. &#8211; LEVENSTON, M.E. &#8211; GOLD, G.E. Application of advanced magnetic resonance imaging techniques in evaluation of the lower extremity. In <em>Radiologic Clinics of North America<\/em>, 2013, vol. 51, no. 3, p. 529.<\/li>\n<li>JORDAN, C.D. &#8211; SARANATHAN, M. &#8211; BANGERTER, N.K. &#8211; HARGREAVES, B.A. &#8211; GOLD, G.E. Musculoskeletal MRI at 3.0 T and 7.0 T: A comparison of relaxation times and image contrast. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 5, p. 734-739.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; ZB\u00dd\u0147, \u0160. &#8211; PRESSL, Ch. &#8211; DOMAYER, S. &#8211; HOFSTAETTER, J. &#8211; MAYERHOEFER, M.E. &#8211; WINDHAGER, R. &#8211; TRATTNIG, S. Sodium MR imaging of achilles tendinopathy at 7 T: Preliminary results. In <em>Radiology<\/em>, 2012, vol. 262, no. 1, p. 199-205.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>SYHA, R. &#8211; SPRINGER, F. &#8211; KETELSEN, D. &#8211; IPACH, I. &#8211; KRAMER, U. &#8211; HORGER, M. &#8211; SCHICK, F. &#8211; GROSSE, U. Achillodynia &#8211; radiological imaging of acute and chronic overuse injuries of the achilles tendon. In <em>Rofo-Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren<\/em>, 2013, vol. 185, no. 11, p. 1044-1058.<\/li>\n<li>FELDMAN, R.E. &#8211; STOBBE, R. &#8211; WATTS, A. &#8211; BEAULIEU, Ch. Sodium imaging of the human knee using soft inversion recovery fluid attenuation. In <em>Journal of Magnetic Resonance<\/em>, 2013, vol. 234, p. 197-206.<\/li>\n<li>FUJITA, H. &#8211; ZHENG, T. &#8211; YANG, X. &#8211; FINNERTY, M.J. &#8211; HANDA, S. RF surface receive array coils: The art of an LC circuit. In <em>Journal of Magnetic Resonance Imaging<\/em>, 2013, vol. 38, no. 1, p. 12-25.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; APPRICH, S. &#8211; PRESSL, Ch. &#8211; ZBYN, S. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; DOMAYER, S. &#8211; HOFSTAETTER, J. &#8211; TRATTNIG, S. Histological correlation of 7 T multi-parametric MRI performed in ex-vivo Achilles tendon. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 5, p. 740-744.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>SYHA, R. &#8211; SPRINGER, F. &#8211; KETELSEN, D. &#8211; IPACH, I. &#8211; KRAMER, U. &#8211; HORGER, M. &#8211; SCHICK, F. &#8211; GROSSE, U. Achillodynia &#8211; radiological imaging of acute and chronic overuse injuries of the achilles tendon. In <em>Rofo-Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren<\/em>, 2013, vol. 185, no. 11, p. 1044-1058.<\/li>\n<li>GROSSE, U. &#8211; SYHA, R. &#8211; MARTIROSIAN, P. &#8211; WUERSLIN, C. &#8211; HORGER, M. &#8211; GROZINGER, G. &#8211; SCHICK, F. &#8211; SPRINGER, F. Ultrashort echo time MR imaging with off-resonance saturation for characterization of pathologically altered Achilles tendons at 3 T. In <em>Magnetic Resonance in Medicine<\/em>, 2013, vol. 70, no. 1, p. 184-192.<\/li>\n<li>WONG, C.S. &#8211; YAN, C.H. &#8211; GONG, N.J. &#8211; LI, T. &#8211; CHAN, Q.N. &#8211; CHU, Y.C. Imaging biomarker with T1 rho and T2 mappings in osteoarthritis In vivo human articular cartilage study. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 4, p. 647-650.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; ZB\u00dd\u0147, \u0160. &#8211; PRESSL, Ch. &#8211; <u>VALKOVI\u010c, Ladislav<\/u> &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; <u>FROLLO, Ivan<\/u> &#8211; TRATTNIG, S. Regional variations of T2* in healthy and pathologic achilles tendon in vivo at 7 Tesla: Preliminary results. In <em>Magnetic Resonance in Medicine<\/em>, 2012, vol. 68, p. 1607-1613.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>SYHA, R. &#8211; SPRINGER, F. &#8211; KETELSEN, D. &#8211; IPACH, I. &#8211; KRAMER, U. &#8211; HORGER, M. &#8211; SCHICK, F. &#8211; GROSSE, U. Achillodynia &#8211; radiological imaging of acute and chronic overuse injuries of the achilles tendon. In <em>Rofo-Fortschritte auf dem Gebiet der Rontgenstrahlen und der Bildgebenden Verfahren<\/em>, 2013, vol. 185, no. 11, p. 1044-1058.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>JURD\u00c1K, Peter<\/u> &#8211; KOP\u00c1NI, M. &#8211; <u>\u0160IM\u00c1\u010cEK, Ivan<\/u> &#8211; <u>MA\u0147KA, J\u00e1n<\/u> &#8211; <u>\u0160KR\u00c1TEK, Martin<\/u>. Magnetometric measurements of ferro- or ferrimagnetic microparticles dispersed in medium approximating the intracellular environment. In <em>Nanoscale Magnetic Materials and Applications : MRS Proceedings Volume 1032E<\/em>. &#8211; Warrendale, PA : Materials Research Society, 2008, p. 1032-I04-19.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>TAMULI, R.P. &#8211; PATOWARY, A.J. &#8211; SARMAH, S. Morphology and multi-elemental analysis leading to detection of gunshot wounds. In <em>Medico-Legal Update<\/em>, 2013, vol. 13, no. 1, p. 89-94.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">KANA, M. &#8211; <u>HOL\u010c\u00cdK, Ji\u0159\u00ed<\/u>. Mathematical model-based markers of autonomic nervous activity during the Valsalva Maneuver and comparison to heart rate variability. In <em>Biomedical Signal Processing and Control<\/em>, 2011, vol. 6, no. 3, p. 251-260.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>AKAR, S.A. &#8211; KARA, S. &#8211; LATIFOGLU, F. &#8211; BILGIC, V. Spectral analysis of photoplethysmographic signals: The importance of preprocessing. In <em>Biomedical Signal Processing and Control<\/em>, 2013, vol. 8, no. 1, p. 16-22.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">KAWATE, E. &#8211; <u>HAIN, Miroslav<\/u>. New scatterometer for spatial distribution measurements of light scattering from materials. In <em>Measurement Science Review<\/em>, 2012, vol. 12, no. 2, p. 56-61.<\/span><\/li>\n<\/ul>\n<p>Other citations: 1<\/p>\n<ol>\n<li>ZAVADIL, J. &#8211; VAL\u00cd\u010cEK, J. &#8211; HARNI\u010c\u00c1ROV\u00c1, M. &#8211; KU\u0160NEROV\u00c1, M. &#8211; GRZN\u00c1RIK, R. Spectral analysis of the surface topography of cold rolled sheets using two dimensional fourier transform. In <em>MEASUREMENT 2013 : 9th International Conference on Measurement<\/em>, 2013, p. 271-274.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>KRAKOVSK\u00c1, Anna<\/u> &#8211; <u>\u0160TOLC, Svorad<\/u>. Spectral decay vs. correlation dimension of EEG. In <em>Neurocomputing<\/em>, 2008, vol. 71, no. 13-15, p. 2978-2985.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>LI, X. &#8211; XU, G. &#8211; SHANG, X. &#8211; NIE, K. Correlation dimension analysis of EEG signals induced by electrical acupuncture. In <em>6th International Conference on Biomedical Engineering and Informatics, BMEI 2013<\/em>, art. no. 6747008, p. 585-590.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>KRAKOVSK\u00c1, Anna<\/u>. Correlation dimension underestimation. In <em>Acta Physica Slovaca : Journal for Experimental and Theoretical Physics<\/em>, 1995, vol. 45, no. 5, p. 567-574.<\/span><\/li>\n<\/ul>\n<p>Other citations: 1<\/p>\n<ol>\n<li>BUD\u00c1\u010cOV\u00c1, H. &#8211; \u0160TOLC, S. Comparison of novel methods for correlation dimension estimation. In <em>MEASUREMENT 2013 : 9th International Conference on Measurement<\/em>, 2013, p. 27-30.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>KRAKOVSK\u00c1, Anna<\/u> &#8211; <u>MEZEIOV\u00c1, Krist\u00edna<\/u>. Automatic sleep scoring: A search for an optimal combination of measures. In <em>Artificial Intelligence in Medicine<\/em>, 2011, vol. 53, no. 1, p. 25-33.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>JOBERT, M. &#8211; WILSON, F.J. &#8211; ROTH, T. &#8211; RUIGT, G.S.F. &#8211; ANDERER, P. &#8211; DRINKENBURG, W.H.I.M. Guidelines for the recording and evaluation of pharmaco-sleep studies in man: The International Pharmaco-EEG Society (IPEG). In <em>Neuropsychobiology<\/em>, 2013, vol. 67, no. 3, p. 127-167.<\/li>\n<li>STEPNOWSKY, C. &#8211; LEVENDOWSKI, D. &#8211; POPOVIC, D. &#8211; AYAPPA, I. &#8211; RAPOPORT, D.M. Scoring accuracy of automated sleep staging from a bipolar electroocular recording compared to manual scoring by multiple raters. In <em>Sleep Medicine<\/em>, 2013, vol. 14, no. 11, p. 1199-1207.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>HAMIDA, S.T.-B. &#8211; AHMED, B. Computer based sleep staging: Challenges for the future. In <em>7th IEEE GCC Conference and Exhibition, GCC 2013<\/em>, art. no. 6705790, p. 280-285.<\/li>\n<li>PIRYATINSKA, A. Electroencephalogram-sleep study. In <em>Wiley Interdisciplinary Reviews: Computational Statistics<\/em>, 2013, vol. 5, no. 4, p. 326-333.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">KRUSCHE-MANDL, I. &#8211; SCHMITT, B. &#8211; ZAK, L. &#8211; APPRICH, S. &#8211; ALDRIAN, S. &#8211; <u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; FRIEDRICH, K. &#8211; MARLOVITS, S. &#8211; WEBER, M. &#8211; TRATTNIG, S. Long-term results 8 years after autologous osteochondral transplantation: 7 T gagCEST and sodium magnetic resonance imaging with morphological and clinical correlation. In <em>Osteoarthritis and Cartilage<\/em>, 2012, vol. 20, p. 357-363.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 9<\/p>\n<ol>\n<li>LIU, G. &#8211; SONG, X. &#8211; CHAN, K.W.Y. &#8211; MCMAHON, M.T. Nuts and bolts of chemical exchange saturation transfer MRI. In <em>NMR in Biomedicine<\/em>, 2013, vol. 26, no. 7, SI, p. 810-828.<\/li>\n<li>BLACKMAN, A.J. &#8211; SMITH, M.V. &#8211; FLANIGAN, D.C. &#8211; MATAVA, M.J. &#8211; WRIGHT, R.W. &#8211; BROPHY, R.H. Correlation between magnetic resonance imaging and clinical outcomes after cartilage repair surgery in the knee: A systematic review and meta-analysis. In <em>American Journal of Sports Medicine<\/em>, 2013, vol. 41, no. 6, p. 1426-1434.<\/li>\n<li>BAUM, T. &#8211; JOSEPH, G.B. &#8211; KARAMPINOS, D.C. &#8211; JUNGMANN, P.M. &#8211; LINK, T.M. &#8211; BAUER, J.S. Cartilage and meniscal T2 relaxation time as non-invasive biomarker for knee osteoarthritis and cartilage repair procedures. In <em>Osteoarthritis and Cartilage<\/em>, 2013, vol. 21, no. 10, p. 1474-1484.<\/li>\n<li>PALMER, A.J.R. &#8211; BROWN, C.P. &#8211; MCNALLY, E.G. &#8211; PRICE, A.J. &#8211; TRACEY, I. &#8211; JEZZARD, P. &#8211; CARR, A.J. &#8211; GLYN-JONES, S. Non-invasive imaging of cartilage in early osteo arthritis. In <em>Bone &amp; Joint Journal<\/em>, 2013, vol. 95B, no. 6, p. 738-746.<\/li>\n<li>ZAISS, M. &#8211; BACHERT, P. Chemical exchange saturation transfer (CEST) and MR Z-spectroscopy in vivo: A review of theoretical approaches and methods. In <em>Physics in Medicine and Biology<\/em>, 2013, vol. 58, no. 22, p. R221-R269.<\/li>\n<li>SHETTY, A.A. &#8211; KIM, S.J. &#8211; BILAGI, P. &#8211; STELZENEDER, D. Autologous collagen-induced chondrogenesis: Single-stage arthroscopic cartilage repair technique. In <em>Orthopedics<\/em>, 2013, vol. 36, no. 5, p. E648-E652.<\/li>\n<li>MOSHER, T.J. &#8211; WALKER, E.A. &#8211; PETSCAVAGE-THOMAS, J. &#8211; GUERMAZI, A. Osteoarthritis year 2013 in review: Imaging. In <em>Osteoarthritis and Cartilage<\/em>, 2013, vol. 21, no. 10, p. 1425-1435.<\/li>\n<li>KOTECHA, M. &#8211; RAVINDRAN, S. &#8211; SCHMID, T.M. &#8211; VAIDYANATHAN, A. &#8211; GEORGE, A. &#8211; MAGIN, R.L. Application of sodium triple-quantum coherence NMR spectroscopy for the study of growth dynamics in cartilage tissue engineering. In <em>NMR in Biomedicine<\/em>, 2013, vol. 26, no. 6, p. 709-717.<\/li>\n<li>FELDMAN, R.E. &#8211; STOBBE, R. &#8211; WATTS, A. &#8211; BEAULIEU, Ch. Sodium imaging of the human knee using soft inversion recovery fluid attenuation. In <em>Journal of Magnetic Resonance<\/em>, 2013, vol. 234, p. 197-206.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">KUB\u00c1\u010cEK, L. &#8211; KUB\u00c1\u010cKOV\u00c1, L. &#8211; <u>VOLAUFOV\u00c1, J\u00falia<\/u>. <em>Statistical Models with Linear Structures<\/em>. Bratislava : Veda, 1995. 471 s.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 3<\/p>\n<ol>\n<li>TUCEK, P. &#8211; TUCKOVA, M. &#8211; MAREK, L. &#8211; PASZTO, V. Comparisson of regression models with constraints in geodetical measurement. In <em>International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM<\/em>, 2013, vol. 1, p. 343-354.<\/li>\n<li>TUCEK, P. &#8211; TUCKOVA, M. &#8211; MAREK, L. &#8211; JAROSLAV, B. Statistical processing of laminar water flow data &#8211; Nonlinear regression based approach. In In <em>International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM<\/em>, 2013, vol. 1, p. 543-550.<\/li>\n<li>HECKENBERGEROV\u00c1, J. &#8211; MAREK, J. &#8211; MEJZNAR, J. Automatic head and shoulders pattern recognition using nonlinear statistical modeling. In <em>APLIMAT 2013 :<\/em> <em>12th Conference on Applied Mathematics<\/em>, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">KUSHCH, I. &#8211; <u>ARENDACK\u00c1, Barbora<\/u> &#8211; <u>\u0160TOLC, Svorad<\/u> &#8211; MOCHALSKI, P. &#8211; FILIPIAK, W. &#8211; SCHWARZ, K. &#8211; SCHWENTNER, L. &#8211; SCHMID, A. &#8211; DZIEN, A. &#8211; LECHLEITNER, M. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u> &#8211; MIEKISCH, W. &#8211; SCHUBERT, J. &#8211; UNTERKOFLER, K. &#8211; AMANN, A. Breath isoprene &#8211; aspects of normal physiology related to age, gender and cholesterol profile as determined in a proton transfer reaction mass spectrometry study. In <em>Clinical Chemistry and Laboratory Medicine<\/em>, 2008, vol. 46, no. 7, p. 1011-1018.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 7<\/p>\n<ol>\n<li>KOHL, I. &#8211; HERBIG, J. &#8211; DUNKL, J. &#8211; HANSEL, A. &#8211; DANIAUX, M. &#8211; HUBALEK, M. Smokers breath as seen by proton-transfer-reaction time-of-flight mass spectrometry (PTR-TOF-MS). In <em>Volatile Biomarkers: Non-Invasive Diagnosis in Physiology and Medicine<\/em>, 2013, p. 89-116.<\/li>\n<li>WHITE, I.R. &#8211; WILLIS, K.A. &#8211; WHYTE, Ch. &#8211; CORDELL, R. &#8211; BLAKE, R.S. &#8211; WARDLAW, A.J. &#8211; RAO, S. &#8211; GRIGG, J. &#8211; ELLIS, A.M. &#8211; MONKS, P.S. Real-time multi-marker measurement of organic compounds in human breath: Towards fingerprinting breath. In <em>Journal of Breath Research<\/em>, 2013, vol. 7, no. 1.<\/li>\n<li>BUSZEWSKI, B. &#8211; GRZYWINSKI, D. &#8211; LIGOR, T. &#8211; STACEWICZ, T. &#8211; BIELECKI, Z. &#8211; WOJTAS, J. Detection of volatile organic compounds as biomarkers in breath analysis by different analytical techniques. In <em>Bioanalysis<\/em>, 2013, vol. 5, no. 18, p. 2287-2306.<\/li>\n<li>WINKLER, K. &#8211; HERBIG, J. &#8211; KOHL, I. Real-time metabolic monitoring with proton transfer reaction mass spectrometry. In <em>Journal of Breath Research<\/em>, 2013, vol. 7, no. 3.<\/li>\n<li>SAHAY, P. &#8211; SCHERRER, S.T. &#8211; WANG, Ch. Measurements of the weak UV absorptions of isoprene and acetone at 261-275 nm using cavity ringdown spectroscopy for evaluation of a potential portable ringdown breath analyzer. In <em>Sensors<\/em>, 2013, vol. 13, no. 7, p. 8170-8187.<\/li>\n<li>HORNUSS, C. &#8211; DOLCH, M.E. &#8211; JANITZA, S. &#8211; SOUZA, K. &#8211; PRAUN, S. &#8211; APFEL, Ch.C. &#8211; SCHELLING, G. Determination of breath isoprene allows the identification of the expiratory fraction of the propofol breath signal during real-time propofol breath monitoring. In <em>Journal of Clinical Monitoring and Computing<\/em>, 2013, vol. 27, no. 5, p. 509-516.<\/li>\n<li>KAPISHON, V. &#8211; KOYANAGI, G.K. &#8211; BLAGOJEVIC, V. &#8211; BOHME, D.K. Atmospheric pressure chemical ionization mass spectrometry of pyridine and isoprene: potential breath exposure and disease biomarkers. In <em>Journal of Breath Research<\/em>, 2013, vol. 7, no. 2.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>LATTA, Peter<\/u> &#8211; GRUWEL, M.L.H. &#8211; VOLOTOVSKYY, V. &#8211; WEBER, M. &#8211; TOMANEK, B. Simple phase method for measurement of magnetic field gradient waveforms. In <em>Magnetic Resonance Imaging<\/em>, 2007, vol. 25, p. 1272-1276.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>ANDRIS, P. &#8211; FROLLO, I. Asymmetric spin echo sequence and requirements on static magnetic field of NMR scanner. In <em>Measurement<\/em>, 2013, vol. 46, no. 4, p. 1530-1534.<\/li>\n<li>BAKKER, Ch.J.G. &#8211; VAN GORP, J.S. &#8211; VERWOERD, J.L. &#8211; WESTRA, A.H. &#8211; BOUWMAN, J.G. &#8211; ZIJLSTRA, F. &#8211; SEEVINCK, P.R. Multiple single-point imaging (mSPI) as a tool for capturing and characterizing MR signals and repetitive signal disturbances with high temporal resolution: The MRI scanner as a high-speed camera. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 7, p. 1037-1043.<\/li>\n<li>ANDRIS, P. &#8211; FROLLO, I. NMR Spectroscopic imaging method for static magnetic field mapping. In <em>Applied Magnetic Resonance<\/em>, 2013, vol. 44, no. 5, p. 637-647.<\/li>\n<li>TAKIZAWA, M. &#8211; HANADA, H. &#8211; OKA, K. &#8211; TAKAHASHI, T. &#8211; YAMAMOTO, E. &#8211; FUJII, M. A Robust ultrashort TE (UTE) imaging method with corrected k-Space trajectory by using parametric multiple function model of gradient waveform. In <em>IEEE Transactions on Medical Imaging<\/em>, 2013, vol. 32, no. 2, p. 306-316.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>FROLLO, I. &#8211; ANDRIS, P. &#8211; PRIBIL, J. &#8211; DERMEK, T. &#8211; GOGOLA, D. Soft magnetic material testing using magnetic resonance imaging. In <em>Advanced Materials Research<\/em>, 2013, vol. 740, p. 618-623.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>LATTA, Peter<\/u> &#8211; GRUWEL, M.L.H. &#8211; VOLOTOVSKYY, V. &#8211; WEBER, M. &#8211; TOMANEK, B. Single-point imaging with a variable phase encoding interval. In <em>Magnetic Resonance Imaging<\/em>, 2008, vol. 26, p. 109-116.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>ANDRIS, P. &#8211; FROLLO, I. Asymmetric spin echo sequence and requirements on static magnetic field of NMR scanner. In <em>Measurement<\/em>, 2013, vol. 46, no. 4, p. 1530-1534.<\/li>\n<li>BAKKER, Ch.J.G. &#8211; DE LEEUW, H. &#8211; DE MAAT, G.H. van &#8211; VAN GORP, J.S. &#8211; BOUWMAN, J.G. &#8211; SEEVINCK, P.R. On the utility of spectroscopic imaging as a tool for generating geometrically accurate MR images and parameter maps in the presence of field inhomogeneities and chemical shift effects. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 1, p. 86-95.<\/li>\n<li>ANDRIS, P. &#8211; FROLLO, I. NMR spectroscopic imaging method for static magnetic field mapping. In <em>Applied Magnetic Resonance<\/em>, 2013, vol. 44, no. 5, p. 637-647.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>LATTA, Peter<\/u> &#8211; GRUWEL, M.L.H. &#8211; JELL\u00da\u0160, Vladim\u00edr &#8211; TOMANEK, B. Bloch simulations with intra-voxel spin dephasing. In <em>Journal of Magnetic Resonance<\/em>, 2010, vol. 203, p. 44-51.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>MEHRABIAN, H. &#8211; CHOPRA, R. &#8211; MARTEL, A.L. Calculation of intravascular signal in dynamic contrast enhanced-MRI using adaptive complex independent component analysis. In <em>IEEE Transactions on Medical Imaging<\/em>, 2013, vol. 32, no. 4, p. 699-710.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>LATTA, Peter<\/u> &#8211; GRUWEL, M.L.H. &#8211; DEBERGUE, P. &#8211; MATWIY, B. &#8211; SBOTO-FRANKENSTEIN, U. &#8211; TOMANEK, B. Convertible pneumatic actuator for magnetic resonance elastography of the brain. In <em>Magnetic Resonance Imaging<\/em>, 2011, vol. 29, p. 147-152.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>NUMANO, T. &#8211; KAWABATA, Y. &#8211; MIZUHARA, K. &#8211; WASHIO, T. &#8211; NITTA, N. &#8211; HOMMA, K. Magnetic resonance elastography using an air ball-actuator. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 6, p. 939-946.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>YAMAGUCHI, D. &#8211; KANDA, T. &#8211; SUZUMORI, K. &#8211; FUJISAWA, K. &#8211; TAKEGOSHI, K. &#8211; MIZUNO, T. Ultrasonic motor using two sector-shaped piezoelectric transducers for sample spinning in high magnetic field. In <em>Journal of Robotics and Mechatronics<\/em>, 2013, vol. 25, no. 2, p. 384-391.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">LI, P. &#8211; <u>FARKA\u0160, Igor<\/u> &#8211; MACWHINNEY, B. Early lexical development in a self-organizing neural network. In <em>Neural Networks<\/em>, 2004, vol. 17, p. 1345-1362.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 11<\/p>\n<ol>\n<li>ALTHAUS, N. &#8211; MARESCHAL, D. Modeling cross-modal interactions in early word learning. In <em>IEEE Transactions on Autonomous Mental Development<\/em>, 2013, vol. 5, no. 4, p. 288-297.<\/li>\n<li>SIMS, C.E. &#8211; SCHILLING, S.M. &#8211; COLUNGA, E. Beyond modeling abstractions: Learning nouns over developmental time in atypical populations and individuals. In <em>Frontiers in Psychology<\/em>, 2013, vol. 4.<\/li>\n<li>STORKEL, H.L. &#8211; BONTEMPO, D.E. &#8211; ASCHENBRENNER, A.J. &#8211; MAEKAWA, J. &#8211; LEE, S.Y. The effect of incremental changes in phonotactic probability and neighborhood density on word learning by preschool children. In <em>Journal of Speech Language and Hearing Research<\/em>, 2013, vol. 56, no. 5, p. 1689-1700.<\/li>\n<li>HILLS, T. The company that words keep: Comparing the statistical structure of child- versus adult-directed language. In <em>Journal of Child Language<\/em>, 2013, vol. 40, no. 3, p. 586-604.<\/li>\n<li>MONNER, D. &#8211; VATZ, K. &#8211; MORINI, G. &#8211; HWANG, S.O. &#8211; DEKEYSER, R. A neural network model of the effects of entrenchment and memory development on grammatical gender learning. In <em>Bilingualism-Language and Cognition<\/em>, 2013, vol. 16, no. 2, p. 246-265.<\/li>\n<li>CUPPINI, C. &#8211; MAGOSSO, E. &#8211; URSINO, M. Learning the lexical aspects of a second language at different proficiencies: A neural computational study. In <em>Bilingualism-Language and Cognition<\/em>, 2013, vol. 16, no. 2, p. 266-287.<\/li>\n<li>KIRAN, S. &#8211; GRASEMANN, U. &#8211; SANDBERG, C. &#8211; MIIKKULAINEN, R. A computational account of bilingual aphasia rehabilitation. In <em>Bilingualism-Language and Cognition<\/em>, 2013, vol. 16, no. 2, p. 325-342.<\/li>\n<li>PFANDER, S. &#8211; BEHRENS, H. &#8211; AUER, P. &#8211; JACOB, D. &#8211; KAILUWEIT, R. &#8211; KONIECZNY, L. &#8211; KORTMANN, B. &#8211; MAIR, C. &#8211; STRUBE, G. Experience counts, frequency effects in language &#8211; a workshop report. In <em>Lili-Zeitschrift fur Literaturwissenschaft und Linguistik<\/em>, 2013, vol. 43, no. 169, p. 7-32.<\/li>\n<li>DAVIS, B.L. &#8211; BEDORE, L.M. <em>Emergence Approach to Speech Acquisition: Doing and Knowing<\/em>. Psychology Press, 2013.<\/li>\n<li>CALIGIORE, D. &#8211; FISCHER, M.H. Vision, action and language unified through embodiment. In <em>Psychological Research-Psychologische Forschung<\/em>, 2013, vol. 77, no. 1, SI, p. 1-6.<\/li>\n<li>ALISHAHI, A. &#8211; FAZLY, A. &#8211; KOEHNE, J. &#8211; CROCKER, M.W. Sentence-based attentional mechanisms in word learning: evidence from a computational model. In <em>Frontiers in Psychology<\/em>, 2012, vol. 3.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>MCMURRAY, B. &#8211; ZHAO, L. &#8211; KUCKER, S.C. &#8211; SAMUELSON, L.K. Pushing the envelope of associative learning: Internal representations and dynamic competition transform association into development. In <em>Theoretical and Computational Models of Word Learning: Trends in Psychology and Artificial Intelligence<\/em>, 2013, p. 49-80.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">MAMISCH, T.C. &#8211; MENZEL, M.I. &#8211; WELSCH, G.H. &#8211; BITTERSOHL, B. &#8211; SALOMONOWITZ, E. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; KORDELLE, J. &#8211; MARLOVITS, S. &#8211; TRATTNIG, S. Steady-state diffusion imaging for MR in-vivo evaluation of reparative cartilage after matrix-associated autologous chondrocyte transplantation at 3 tesla-Preliminary results. In <em>European Journal of Radiology<\/em>, 2008, vol. 65, p. 72-79.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>HO-FUNG, V.M. &#8211; JARAMILLO, D. Cartilage imaging in children current indications, magnetic resonance imaging techniques, and imaging findings. In <em>Radiologic Clinics of North America<\/em>, 2013, vol. 51, no. 4, p. 689.<\/li>\n<li>PALMER, A.J.R. &#8211; BROWN, C.P. &#8211; MCNALLY, E.G. &#8211; PRICE, A.J. &#8211; TRACEY, I. &#8211; JEZZARD, P. &#8211; CARR, A.J. &#8211; GLYN-JONES, S. Non-invasive imaging of cartilage in early osteo arthritis. In <em>Bone &amp; Joint Journal<\/em>, 2013, vol. 95B, no. 6, p. 738-746.<\/li>\n<li>BINKS, D.A. &#8211; HODGSON, R.J. &#8211; RIES, M.E. &#8211; FOSTER, R.J. &#8211; SMYE, S.W. &#8211; MCGONAGLE, D. &#8211; RADJENOVIC, A. Quantitative parametric MRI of articular cartilage: a review of progress and open challenges. In <em>British Journal of Radiology<\/em>, 2013, vol. 86, no. 1023.<\/li>\n<li>KIM, Y.-J. Novel cartilage imaging techniques for hip disorders. In <em>Magnetic Resonance Imaging Clinics of North Americ, <\/em>2013, vol. 21, no. 1, p. 35.<\/li>\n<li>VAN DYCK, P. &#8211; VANHOENACKER, F.M. &#8211; LAMBRECHT, V. &#8211; WOUTERS, K. &#8211; GIELEN, J.L. &#8211; DOSSCHE, L. &#8211; PARIZEL, P.M. Prospective comparison of 1.5 and 3.0-T MRI for evaluating the knee menisci and ACL. In <em>Journal of Bone and Joint Surgery-American Volume<\/em>, 2013, vol. 95A, no. 10, p. 916-924.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>MATEJ, Samuel<\/u> &#8211; <u>BAJLA, Ivan<\/u>. A high-speed reconstruction from projection using direct fourier method with optimized parameters. An experimental analysis. In <em>IEEE Transactions on Medical Imaging<\/em>, 1990, vol. 9, no. 4, p. 421-429.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>HANIF, A. &#8211; MANSOOR, A.B. &#8211; EJAZ, T. A new approach to radionuclide imaging using compressed sensing. In <em>Imaging Science Journal<\/em>, 2013, vol. 61, no. 6, p. 503-508.<\/li>\n<li>RAO, D. &#8211; KOTHAPALLI, S.-R. &#8211; WU, P. &#8211; YELLESWARAPU, Ch. Transient Fourier holography with Bacteriorhodopsin films for breast cancer diagnostics. In <em>Bioinspired, Biointegrated, Bioengineered Photonic Devices<\/em>, 2013, vol. 8598.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>MATEJ, Samuel<\/u> &#8211; LEWITT, R. M. Practical considerations for 3-D image reconstruction using spherically symmetric volume elements. In <em>IEEE Transactions on Medical Imaging<\/em>, 1996, vol. 15, p. 68-78.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>NUYTS, J. &#8211; DE MAN, B. &#8211; FESSLER, J.A. &#8211; ZBIJEWSKI, W. &#8211; BEEKMAN, F.J. Modelling the physics in the iterative reconstruction for transmission computed tomography. In <em>Physics in Medicine and Biology<\/em>, 2013, vol. 58, no. 12, p. R63-R96.<\/li>\n<li>KLUKOWSKA, J. &#8211; DAVIDI, R. &#8211; HERMAN, G.T. SNARK09-A software package for reconstruction of 2D images from 1D projections. In <em>Computer Methods and Programs in Biomedicine<\/em>, 2013, vol. 110, no. 3, p. 424-440.<\/li>\n<li>JORGENSEN, J.S. &#8211; SIDKY, E.Y. &#8211; PAN, X. Quantifying admissible undersampling for sparsity-exploiting iterative image reconstruction in X-Ray CT. In <em>IEEE Transactions on Medical Imaging<\/em>, 2013, vol. 32, no. 2, p. 460-473.<\/li>\n<li>NIU, K. &#8211; LI, K. &#8211; QI, Z. &#8211; BEVINS, N. &#8211; ZAMBELLI, J. &#8211; CHEN, G.-H. A statistical image reconstruction method to reduce small angle scattering induced streaking artifacts in differential phase contrast CT. In <em>Medical Imaging 2013: Physics of Medical Imaging<\/em>, vol. 8668.<\/li>\n<li>KIM, J. &#8211; GUAN, H. &#8211; GERSTEN, D. &#8211; ZHANG, T. Evaluation of algebraic iterative image reconstruction methods for tetrahedron beam computed tomography systems. In <em>International Journal of Biomedical Imaging<\/em>, 2013, art. no. 609704.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>MODAFFERI, S. &#8211; CHAKRAVARTHY, A. &#8211; SABEUR, Z. Multi-level data fusion of environmental data in future internet applications. In <em>21st Italian Symposium on Advanced Database Systems, SEBD 2013<\/em>, p. 297-304.<\/li>\n<li>TEUHO, J. &#8211; JOHANSSON, J. &#8211; LINDEN, J. &#8211; SAUNAVAARA, V. &#8211; TOLVANEN, T. &#8211; TER\u00c4S, M. Quantitative bias in PET\/MR from attenuation correction and reconstruction: A comparison with PET and PET\/CT with an anatomical brain phantom and Hoffman brain phantom. In <em>IEEE Nuclear Science Symposium Conference<\/em>, 2013, art. no. 6829260.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>MATEJ, Samuel<\/u> &#8211; FURUIE, S.S. &#8211; HERMAN, G. T. The relevance of statistically significant differences between reconstruction algorithms. In <em>IEEE Transaction on Image Processing<\/em>, 1996, vol. 5, p. 554-556.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>ZHANG, Y. &#8211; YAP, P.-T. &#8211; WU, G. &#8211; FENG, Q. &#8211; LIAN, J. &#8211; CHEN, W. &#8211; SHEN, D. Resolution enhancement of lung 4D-CT data using multiscale interphase iterative nonlocal means. In <em>Medical Physics<\/em>, 2013, vol. 40, no. 5, art. no. 051916.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">MAYERHOEFER, M.E. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; JIR\u00c1K, D. &#8211; MATERKA, A. &#8211; TRATTNIG, S. Effects of MRI acquisition parameter variations and protocol heterogeneity on the results of texture analysis and pattern discrimination: An application-oriented study. In <em>Medical Physics<\/em>, 2009, vol. 36, no. 4, p. 1236-1243.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>ZHANG, Y. &#8211; MOORE, G.R.W. &#8211; LAULE, C. &#8211; BJARNASON, T.A. &#8211; KOZLOWSKI, P. &#8211; TRABOULSEE, A. &#8211; LI, D.K.B. Pathological correlates of magnetic resonance imaging texture heterogeneity in multiple sclerosis. In <em>Annals of Neurology<\/em>, 2013, vol. 74, no. 1, p. 91-99.<\/li>\n<li>HANSEN, K. &#8211; PEDERSEN, P.B.M. &#8211; PEDERSEN, M. &#8211; WANG, T. Magnetic resonance imaging volumetry for noninvasive measures of phenotypic flexibility during digestion in Burmese pythons. In <em>Physiological and Biochemical Zoology<\/em>, 2013, vol. 86, no. 1, p. 149-158.<\/li>\n<li>DUDA, D. &#8211; KRETOWSKI, M. &#8211; BEZY-WENDLING, J. Effect of slice thickness on texture-based classification of liver dynamic CT scans. In <em>12th IFIP TC8 International Conference on Computer Information Systems and Industrial Management,<\/em> LNCS 8104, 2013, p. 96-107.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>KARUPPATHAL, R. &#8211; PALANISAMY, V. Hybrid GA- SVM for feature selection to improve Automatic Bayesian classification of Brain MRI Slice. In <em>Life Science Journal<\/em>, 2013, vol. 10, no. 2, p. 2273-2280.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>MEZEIOV\u00c1, Krist\u00edna<\/u> &#8211; PALU\u0160, M. Comparison of coherence and phase synchronization of the human sleep electroencephalogram. In <em>Clinical Neurophysiology<\/em>, 2012, vol. 123, no. 9, p. 1821-1830.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>BAYRAKTAROGLU, Z. &#8211; VON CARLOWITZ-GHORI, K. &#8211; CURIO, G. &#8211; NIKULIN, V.V. It is not all about phase: Amplitude dynamics in corticomuscular interactions. In <em>Neuroimage<\/em>, 2013, vol. 64, p. 496-504.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">MI\u010cUNEK, R. &#8211; PLECENIK, A. &#8211; K\u00da\u0160, P. &#8211; ZAHORAN, M. &#8211; TOM\u00c1\u0160EK, M. &#8211; PLECENIK, T. &#8211; GREGOR, M. &#8211; \u0160TEFE\u010cKA, M. &#8211; <u>JACKO, Vlado<\/u> &#8211; GREGU\u0160, J. &#8211; GRAN\u010cI\u010c, B. &#8211; KUBINEC, M. &#8211; MAHE\u013d, M. Preparation of MgB2 superconducting thin films by magnetron sputtering. In <em>Physica C : Superconductivity and Its Applicacions<\/em>, 2006, vol. 435, p. 78-81.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>FABRETTI, S. &#8211; THOMAS, P. &#8211; MEINERT, M. &#8211; IMORT, I.-M. &#8211; THOMAS, A. Fabrication of superconducting MgB<sub>2<\/sub> thin films by magnetron co-sputtering on (001) MgO substrates. In <em>Journal of Superconductivity and Novel Magnetism, <\/em>2013, vol. 26, no. 5, SI, p. 1879-1882.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>ZHOU, Z.-Y. &#8211; YANG, F.-S. &#8211; WANG, S. &#8211; YANG, J. &#8211; FU, X.-H. Preparation of MgB<sub>2<\/sub> superconducting thin films by hybrid physics-chemistry vapor deposition. In <em>Gongneng Cailiao\/Journal of Functional Materials<\/em>, 2013, vol. 44, no. 6, p. 893-896.<\/li>\n<li>KONG, X. &#8211; DAI, Q. &#8211; HAN, L. &#8211; FENG, Q. &#8211; CHU, M. &#8211; XUE, H. &#8211; LI, J. &#8211; WANG, F. Influence of electron-beam annealing duration on MgB<sub>2<\/sub> filmsuperconductivity. In <em>Materials Science Forum<\/em>, 2013, vol. 745-746, p. 255-260.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">MLYN\u00c1RIK, V. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; TOFFANIN, R. &#8211; VITTUR, F. &#8211; TRATTNIG, S. Transverse relaxation mechanisms in articular cartilage. In <em>Journal of Magnetic Resonance<\/em>, 2004, vol. 169, p. 300-307.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>LI, X. &#8211; MAJUMDAR, S. Quantitative MRI of articular cartilage and its clinical applications. In <em>Journal of Magnetic Resonance Imaging<\/em>, 2013, vol. 38, no. 5, p. 991-1008.<\/li>\n<li>WANG, N. &#8211; XIA, Y. Experimental issues in the measurement of multi-component relaxation times in articular cartilage by microscopic MRI. In <em>Journal of Magnetic Resonance<\/em>, 2013, vol. 235, p. 15-25.<\/li>\n<li>SUBBURAJ, K. &#8211; VALENTINITSCH, A. &#8211; DILLON, A.B. &#8211; JOSEPH, G.B. &#8211; LI, X. &#8211; LINK, T.M. &#8211; VAIL, T.P. &#8211; MAJUMDAR, S. Regional variations in MR relaxation of hip joint cartilage in subjects with and without femoralacetabular impingement. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 7, p. 1129-1136.<\/li>\n<li>DU, J. &#8211; STATUM, S. &#8211; ZNAMIROWSKI, R. &#8211; BYDDER, G.M. &#8211; CHUNG, C.B. Ultrashort TE T1 magic angle imaging. In <em>Magnetic Resonance in Medicine<\/em>, 2013, vol. 69, no. 3, p. 682-687.<\/li>\n<li>CHAN, D.D. &#8211; NEU, C.P. Probing articular cartilage damage and disease by quantitative magnetic resonance imaging. In <em>Journal of The Royal Society Interface<\/em>, 2013, vol. 10, no. 78.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>TAO, H.-Y. &#8211; WANG, Z. &#8211; LI, H. &#8211; CHEN, S. &#8211; FENG, X.-Y. &#8211; HUA, Y.-H. &#8211; CHEN, Z.-Q. Histological and MR quantitative analysis of repaired tissue following microfracture treatment for knee joint osteochondritis dissecans in rabbit models. In <em>Chinese Journal of Radiology<\/em>, 2013, vol. 47, no. 3, p. 255-260.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">MOL\u010cAN, L. &#8211; <u>TEPLAN, Michal<\/u> &#8211; VESEL\u00c1, A. &#8211; ZEMAN, M. The long-term effects of phase advance shifts of photoperiod on cardiovascular parameters as measured by radiotelemetry in rats. In <em>Physiological Measurement<\/em>, 2013, vol. 34, no. 12, p. 1623-1632.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>HERICHOVA, I. Changes of physiological functions induced by shift work. In <em>Endocrine Regulations<\/em>, 2013, vol. 47, no. 3, p. 159-170.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">N\u00d6BAUER-HUHMANN, I.-M. &#8211; PRETTERKLIEBER, M. &#8211; ERHART, J. &#8211; B\u00c4R, P. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; KRONNERWETTER, C. &#8211; LANG, S. &#8211; FRIEDRICH, K. &#8211; TRATTNIG, S. Anatomy and variants of the triangular fibrocartilage complex and its MR appearance at 3 and 7T. In <em>Seminars in Musculoskeletal Radiology<\/em>, 2012, vol. 16, no. 2, p. 93-103.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>THEYSOHN, J. M. &#8211; KRAFF, O. &#8211; ORZADA, S. &#8211; THEYSOHN, N. &#8211; CLASSEN, T. &#8211; LANDGRAEBER, S. &#8211; LADD, M. E. &#8211; LAUENSTEIN, T. C. Bilateral hip imaging at 7 Tesla using a multi-channel transmit technology: Initial results presenting anatomical detail in healthy volunteers and pathological changes in patients with avascular necrosis of the femoral head. In <em>Skeletal Radiology<\/em>, 2013, vol. 42, no. 11, p. 1555-1563.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">N\u00d6EBAUER-HUHMANN, I.M. &#8211; KRAFF, O. &#8211; <u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; MADERWALD, S. &#8211; MLYN\u00c1RIK, V. &#8211; THYESOHN, J. M. &#8211; LADD, S. C. &#8211; LADD, M. E. &#8211; TRATTNIG, S. MR contrast media at 7 Tesla &#8211; preliminary study on relaxivities. In <em>International Society for Magnetic Resonance in Medicine (ISMRM 2008) : 16th Scientific Meeting and Exhibition<\/em>. &#8211; Toronto, Canada, 2008, p. 1457.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>BONI, A. &#8211; ALBERTAZZI, L. &#8211; INNOCENTI, C. &#8211; GEMMI, M. &#8211; BIFONE, A. Water dispersal and functionalization of hydrophobic iron oxide nanoparticles with lipid-modified poly(amidoamine) dendrimers. In <em>Langmuir<\/em>, 2013, vol. 29, no. 35, p. 10973-10979.<\/li>\n<li>GOSWAMI, L.N. &#8211; MA, L.X. &#8211; KUEFFER, P.J. &#8211; JALISATGI, S.S. &#8211; HAWTHORNE, M.F. Synthesis and relaxivity studies of a DOTA-based nanomolecular chelator assembly supported by an icosahedral closo-B\u2081\u2082\u00b2\u207b core for MRI: A click chemistry approach. In <em>Molecules<\/em>, 2013, vol. 18, no. 8, p. 9034-9048.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">N\u00d6EBAUER-HUHMANN, I.M. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; <u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; KRAFF, O. &#8211; LADD, M. E. &#8211; TRATTNIG, S. Gadolinium-based magnetic resonance contrast agents at 7 tesla: In vitro T1 relaxivities in human blood plasma. In <em>Investigative Radiology<\/em>, 2010, vol. 45, no. 9, p. 554-558.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 8<\/p>\n<ol>\n<li>HAGBERG, G.E. &#8211; SCHEFFLER, K. Effect of r(1) and r(2) relaxivity of gadolinium-based contrast agents on the T-1-weighted MR signal at increasing magnetic field strengths. In <em>Contrast Media &amp; Molecular Imaging<\/em>, 2013, vol. 8, no. 6, SI, p. 456-465.<\/li>\n<li>GRGAC, K. &#8211; VAN ZIJL, P.C. M. &#8211; QIN, Q. Hematocrit and oxygenation dependence of blood (1)H(2)O T(1) at 7 Tesla. In <em>Magnetic Resonance in Medicine<\/em>, 2013, vol. 70, no. 4, p. 1153-1159.<\/li>\n<li>CIOFANI, G. &#8211; BONI, A. &#8211; CALUCCI, L. &#8211; FORTE, C. &#8211; GOZZI, A. &#8211; MAZZOLAI, B. &#8211; MATTOLI, V. Gd-doped BNNTs as T-2-weighted MRI contrast agents. In <em>Nanotechnology<\/em>, 2013, vol. 24, no. 31.<\/li>\n<li>SCHWARZ, M.A. &#8211; PHAM, M. &#8211; HELLUY, X. &#8211; DOERFLER, A. &#8211; ENGELHORN, T. MRI assessment of experimental gliomas using 17.6 T. In <em>Neuroradiology<\/em>, 2013, vol. 55, no. 6, p. 709-718.<\/li>\n<li>STEHOUWER, B.L. &#8211; KLOMP, D.W.J. &#8211; KORTEWEG, M.A. &#8211; VERKOOIJEN, H.M. &#8211; LUIJTEN, P.R. &#8211; MALI, W.P.M. &#8211; VAN DEN BOSCH, M.A.A.J. &#8211; VELDHUIS, W.B. 7 T versus 3 T contrast-enhanced breast Magnetic Resonance Imaging of invasive ductulolobular carcinoma: First clinical experience. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 4, p. 613-617.<\/li>\n<li>SUBASHI, E. &#8211; MODING, E.J. &#8211; COFER, G.P. &#8211; MACFALL, J.R. &#8211; KIRSCH, D.G. &#8211; QI, Y. &#8211; JOHNSON, G.A. A comparison of radial keyhole strategies for high spatial and temporal resolution 4D contrast-enhanced MRI in small animal tumor models. In <em>Medical Physics<\/em>, 2013, vol. 40, no. 2.<\/li>\n<li>BOKACHEVA, L. &#8211; KOTEDIA, K. &#8211; REESE, M. &#8211; RICKETTS, S.-A. &#8211; HALLIDAY, J. &#8211; LE, C.H. &#8211; KOUTCHER, J.A. &#8211; CARLIN, S. Response of HT29 colorectal xenograft model to cediranib assessed with 18F-fluoromisonidazole positron emission tomography, dynamic contrast-enhanced and diffusion-weighted MRI. In <em>NMR in Biomedicine<\/em>, 2013, vol. 26, no. 2, p. 151-163.<\/li>\n<li>CHU, P.-C. &#8211; CHAI, W.-Y. &#8211; HSIEH, H.-Y. &#8211; WANG, J.-J. &#8211; WEY, S.-P. &#8211; HUANG, C.-Y. &#8211; WEI, K.-C. &#8211; LIU, H.-L. Pharmacodynamic analysis of magnetic resonance imaging-monitored focused ultrasound-induced blood-brain barrier opening for drug delivery to brain tumors. In <em>Biomed Research International<\/em>, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">PETR\u00c1K, J. &#8211; MRAVEC, B. &#8211; JUR\u00c1NI, M. &#8211; BARANOVSK\u00c1, M. &#8211; TLLINGER, A. &#8211; HAPALA, I. &#8211; <u>FROLLO, Ivan<\/u> &#8211; KVET\u0147ANSK\u00dd, R. Hypergravity-induced increase in plasma catecholamine and corticosterone levels in telemetrically collected blood of rats during centrifugation. In <em>Stress, Neurotransmitters, and Hormones : Neuroendocrine and Genetic Mechanisms<\/em>. &#8211; Wiley-Blackwell, 2008, Vol. 1148, p. 201-208.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>ABE, Ch. &#8211; UETA, Y. &#8211; MORITA, H.. Exposure to hypergravity during the preweaning but not postweaning period reduces vestibular-related stress responses in rats. In <em>Journal of Applied Physiology<\/em>, 2013, vol. 115, no. 7, p. 1082-1087.<\/li>\n<li>JEON, E. &#8211; KIM, H.-S. &#8211; KIM, J.O. The effect of exposure to hypergravity on serum biochemical and hematological parameters in jet fighter pilots. In <em>Biomedical Research-India<\/em>, 2013, vol. 24, no. 2, p. 206-210.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">PINKER, K. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; WELSCH, G.H. &#8211; MAMISCH, T.C. &#8211; MARLOVITS, S. &#8211; STADLBAUER, A. &#8211; TRATTNIG, S. Longitudinal evaluation of cartilage composition of matrix-associated autologous chondrocyte transplants with 3-T delayed gadolinium-enhanced MRI of cartilage. In <em>American Journal of Roentgenology<\/em>, 2008, vol. 191, p. 1391-1396.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>BEKKERS, J.E.J. &#8211; BARTELS, L.W. &#8211; BENINK, R.J. &#8211; TSUCHIDA, A.I. &#8211; VINCKEN, K.L. &#8211; DHERT, W.J.A. &#8211; CREEMERS, L.B. &#8211; SARIS, D.B.F. Delayed gadolinium enhanced MRI of cartilage (dGEMRIC) can be effectively applied for longitudinal cohort evaluation of articular cartilage regeneration. In <em>Osteoarthritis and Cartilage<\/em>, 2013, vol. 21, no. 7, p. 943-949.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">PINKER, K. &#8211; GRABNER, G. &#8211; BOGNER, W. &#8211; GRUBER, S. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; TRATTNIG, S. &#8211; HEINZ-PEER, G. &#8211; WEBER, M. &#8211; FITZAL, F. &#8211; PLUSCHNIG, U. &#8211; RUDAS, M. &#8211; HELBICH, T. A combined high temporal and high spatial resolution 3 Tesla MR imaging protocol for the assessment of breast lesions: Initial results. In <em>Investigative Radiology<\/em>, 2009, vol. 44, no. 9, p. 553-558.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>RUNGE, V.M. Current technological advances in magnetic resonance with critical impact for clinical diagnosis and therapy. In <em>Investigative Radiology<\/em>, 2013, vol. 48, no. 12, p. 869-877.<\/li>\n<li>GREENWOOD, H.I. &#8211; HELLER, S.L. &#8211; KIM, S. &#8211; SIGMUND, E.E. &#8211; SHAYLOR, S.D. &#8211; MOY, L. Ductal carcinoma in situ of the breasts: Review of MR imaging features. In <em>Radiographics<\/em>, 2013, vol. 33, no. 6, p. 1569-1588.<\/li>\n<li>DEMARTINI, W.B. &#8211; RAHBAR, H. Breast magnetic resonance imaging technique at 1.5 T and 3 T: Requirements for quality imaging and American College of Radiology accreditation. In <em>Magnetic Resonance Imaging Clinics of North America<\/em>, 2013, vol. 21, no. 3, p. 475.<\/li>\n<li>RAHBAR, H. &#8211; PARTRIDGE, S.C. &#8211; DEMARTINI, W.B. &#8211; THURSTEN, B. &#8211; LEHMAN, C.D. Clinical and technical considerations for high quality breast MRI at 3 tesla. In <em>Journal of Magnetic Resonance Imaging<\/em>, 2013, vol. 37, no. 4, p. 778-790.<\/li>\n<li>VAN DE BANK, B.L. &#8211; VOOGT, I.J. &#8211; ITALIAANDER, M. &#8211; STEHOUWER, B.L. &#8211; BOER, V.O. &#8211; LUIJTEN, P.R. &#8211; KLOMP, D.W.J. Ultra high spatial and temporal resolution breast imaging at 7T. In <em>NMR in Biomedicine<\/em>, 2013, vol. 26, no. 4, p. 367-375.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>P\u00c9REZ-Z\u00da\u00d1IGA, I. &#8211; VILLASE\u00d1OR-NAVARRO, Y. &#8211; P\u00c9REZ-BADILLO, M.P. &#8211; CRUZ-MORALES, R. &#8211; PAV\u00d3N-HERN\u00c1NDEZ, C. &#8211; AGUILAR-CORT\u00c1ZAR, L. Resonancia magn\u00e9tica de mama y sus aplicaciones [Breast magnetic resonance and its applications]. In <em>Gaceta Mexicana de Oncologia<\/em>, 2012, vol. 11, no. 4, p. 268-280.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; ZA\u0164KO, B. &#8211; <u>FROLLO, Ivan<\/u> &#8211; DUBECK\u00dd, F. &#8211; \u0160\u010cEPKO, P. &#8211; MUDRO\u0147, J. Quantum imaging X-ray CT systems based on GaAs radiation detectors using perspective imaging reconstruction techniques. In <em>Measurement Science Review<\/em>, 2009, vol. 9, no. 1, p. 27-32.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>GROS D&#8217;AILLON, E. &#8211; AVENEL, M.-L. &#8211; FARCAGE, D. &#8211; VERGER, L. Development and characterization of a 3D GaAs X-ray detector for medical imaging. In <em>Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment<\/em>, 2013, vol. 727, p. 126-130.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; P\u0158IBILOV\u00c1, A. Statistical analysis of spectral properties and prosodic parameters of emotional speech. In <em>Measurement Science Review<\/em>, 2009, vol. 9, no. 4, p. 95-104.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>GR\u016eBER, M. &#8211; MATOU\u0160EK, J. Improvements in Czech expressive speech synthesis in limited domain. In <em>Lecture Notes in Computer Science, 8113 LNAI<\/em>, 2013, p. 170-180.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; P\u0158IBILOV\u00c1, A. Spectral properties and prosodic parameters of emotional speech in Czech and Slovak. In <em>Speech and Language Technologies<\/em>. &#8211; Rijeka, Croatia : InTech, 2011, p. 175-200.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>CABALLERO-MORALES, S.O. Recognition of emotions in Mexican Spanish speech: An approach based on acoustic modelling of emotion-specific vowels. In <em>Scientific World Journal<\/em>, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; HOR\u00c1\u010cEK, J. &#8211; HOR\u00c1K, P. Two methods of mechanical noise reduction of recorded speech during phonation in an MRI device. In <em>Measurement Science Review<\/em>, 2011, vol. 11, no. 3, p. 92-98.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>ANDRIS, P. &#8211; FROLLO, I. Asymmetric spin echo sequence and requirements on static magnetic field of NMR scanner. In <em>Measurement<\/em>, 2013, vol. 46, no. 4, p. 1530-1534.<\/li>\n<\/ol>\n<p>Other citations: 1<\/p>\n<ol>\n<li>AALTO, D. &#8211; AALTONEN, O. &#8211; HAPPONEN, R.-P. &#8211; J\u00c4\u00c4SAARI, P. &#8211; KIVEL\u00c4, A. &#8211; KUORTTI, J. &#8211; LUUKINEN, J.-M. &#8211; MALINEN, J. &#8211; MURTOLA, T. &#8211; PARKKOLA, R. &#8211; SAUNAVAARA, J. &#8211; SOUKKA, T. &#8211; VAINIO, M. Measurement of acoustic and anatomic changes in oral and maxillofacial surgery patients. In <em>arXiv:1309.2811 [physics.med-ph]<\/em>, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; P\u0158IBILOV\u00c1, A. Statistical analysis of complementary spectral features of emotional speech in Czech and Slovak. In <em>Text, speech and dialogue<\/em>. &#8211; Berlin : Springer, 2011, p. 299-306.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>GR\u016eBER, M. &#8211; MATOU\u0160EK, J. Improvements in Czech expressive speech synthesis in limited domain. In <em>Lecture Notes in Computer Science, 8113 LNAI<\/em>, 2013, p. 170-180.<\/li>\n<\/ol>\n<p>Other citations: 1<\/p>\n<ol>\n<li>NOVACEK, J. &#8211; BALATA, J. &#8211; MIKOVEC, Z. Adaptive automatic assistance center for blind users who lost orientation. In <em>Technical Report Series of DCGI<\/em>, 2013, vol. 3, CS-TR-DCGI-2013-1, http:\/\/dcgi.fel.cvut.cz\/techreps.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; P\u0158IBILOV\u00c1, A. &#8211; <u>FROLLO, Ivan<\/u>. Analysis of spectral properties of acoustic noise produced during magnetic resonance imaging. In <em>Applied Acoustics<\/em>, 2012, vol. 73, p. 687-697.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>OVEISI, A. &#8211; GUDARZI, M. &#8211; MOHAMMADI, M.M. &#8211; DOOSTHOSEINI, A. Modeling, identification and active vibration control of a funnel-shaped structure used in MRI throat. In <em>Journal of Vibroengineering<\/em>, 2013, vol. 15, no. 1, p. 438-449.<\/li>\n<\/ol>\n<p>Other citations: 1<\/p>\n<ol>\n<li>AALTO, D. &#8211; AALTONEN, O. &#8211; HAPPONEN, R.-P. &#8211; J\u00c4\u00c4SAARI, P. &#8211; KIVEL\u00c4, A. &#8211; KUORTTI, J. &#8211; LUUKINEN, J.-M. &#8211; MALINEN, J. &#8211; MURTOLA, T. &#8211; PARKKOLA, R. &#8211; SAUNAVAARA, J. &#8211; SOUKKA, T. &#8211; VAINIO, M. Measurement of acoustic and anatomic changes in oral and maxillofacial surgery patients. In <em>arXiv:1309.2811 [physics.med-ph]<\/em>, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; P\u0158IBILOV\u00c1, A. Formant features statistical analysis of male and female emotional speech in Czech and Slovak. In <em>35th International Conference on Telecommunications and Signal Processing (TSP)<\/em>. &#8211; IEEE, 2012, p. 427-431.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>STANEK, M. &#8211; POLAK, L. Algorithms for vowel recognition in fluent speech based on formant positions. In <em>36th International Conference on Telecommunications and Signal Processing (TSP), <\/em>2013, p. 521-525.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ROS\u00cdK, Vladim\u00edr<\/u> &#8211; <u>TY\u0160LER, Milan<\/u> &#8211; <u>TURZOV\u00c1, Marie<\/u>. Portable device for ECG mapping. In <em>MEASUREMENT &#8217;97 : International Conference on Measurement<\/em>. &#8211; Bratislava, Institute of Measurement Science, SAS, 1997, p. 367-370.<\/span><\/li>\n<\/ul>\n<p>Other citations: 1<\/p>\n<ol>\n<li>KOZL\u00cdKOV\u00c1, K. Atrial activation as displayed in autocorrelation maps of young adult controls &#8211; a preliminary study. In <em>Proceedings of Electrocardiology 2013<\/em>. ISBN 978-80-969-672-8-5, 2014, p. 112-116.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ROSIPAL, Roman<\/u> &#8211; <u>KOSKA, Milo\u0161<\/u> &#8211; <u>FARKA\u0160, Igor<\/u>. Prediction of chaotic time-series with a resource-allocating RBF network. In <em>Neural Processing Letters<\/em>, 1998, vol. 7, no. 3, p. 185-197.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>BIN, L. &#8211; XUEWEN, R. Review and performance analysis of single hidden layer sequential learning algorithms of feed-forward neural networks. In <em>25th Chinese Control and Decision Conference (CCDC), <\/em>2013, p. 2170-2175.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ROSIPAL, Roman<\/u> &#8211; TREJO, L. J. Kernel partial least squares regression in RKHS. In <em>Journal of Machine Learning Research<\/em>, 2001, vol. 2, p. 97-123.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 40<\/p>\n<ol>\n<li>VIDAURRE, D. &#8211; VAN GERVEN, M.A.J. &#8211; BIELZA, C. &#8211; LARRANAGA, P. &#8211; HESKES, T. Bayesian sparse partial least squares. In <em>Neural Computation<\/em>, 2013, vol. 25, no. 12, p. 3318-3339.<\/li>\n<li>LEE, M.H. &#8211; LIU, Y.F. Kernel continuum regression. In <em>Computational Statistics &amp; Data Analysis<\/em>, 2013, vol. 68, p. 190-201.<\/li>\n<li>ZHANG, X.Y. &#8211; LI, Q.B. &#8211; ZHANG, G.J. A strategy for multivariate calibration based on modified single-index signal regression: Capturing explicit non-linearity and improving prediction accuracy. In <em>Infrared Physics &amp; Technology<\/em>, 2013, vol. 61, p. 176-183.<\/li>\n<li>AN, Y.L. &#8211; SHERMAN, W. &#8211; DIXON, S.L. Kernel-based partial least squares: Application to fingerprint-based QSAR with model visualization. In <em>Journal of Chemical Information and Modeling<\/em>, 2013, vol. 53, no. 9, p. 2312-2321.<\/li>\n<li>TAKEMOTO, K. &#8211; KIHARA, K. Modular organization of cancer signaling networks is associated with patient survivability. In <em>Biosystems<\/em>, 2013, vol. 113, no. 3, p. 149-154.<\/li>\n<li>HAIMI, H. &#8211; MULAS, M. &#8211; CORONA, F. &#8211; VAHALA, R. Data-derived soft-sensors for biological wastewater treatment plants: An overview. In <em>Environmental Modelling &amp; Software<\/em>, 2013, vol. 47, p. 88-107.<\/li>\n<li>HU, Y. &#8211; MA, H.H. &#8211; SHI, H.B. Robust online monitoring based on spherical-kernel partial least squares for nonlinear processes with contaminated modeling data. In <em>Industrial &amp; Engineering Chemistry Research<\/em>, 2013, vol. 52, no. 26, p. 9155-9164.<\/li>\n<li>ARENAS-GARCIA, J. &#8211; PETERSEN, K.B. &#8211; CAMPS-VALLS, G. &#8211; HANSEN, L.K. Kernel multivariate analysis framework for supervised subspace learning. In <em>IEEE Signal Processing Magazine<\/em>, 2013, vol. 30, no. 4, p. 16-29.<\/li>\n<li>XU, S. &#8211; AN, X. &#8211; QIAO, X.D. &#8211; ZHU, L.J. &#8211; LI, L. Multi-output least-squares support vector regression machines. In <em>Pattern Recognition Letters<\/em>, 2013, vol. 34, no. 9, p. 1078-1084.<\/li>\n<li>MOHAMMADNEJAD, M. &#8211; GHOLAMI, R. &#8211; SERESHKI, F. &#8211; JAMSHIDI, A. A new methodology to predict backbreak in blasting operation. In <em>International Journal of Rock Mechanics and Mining Sciences<\/em>, 2013, vol. 60, p. 75-81.<\/li>\n<li>HU, Y. &#8211; MA, H.H. &#8211; SHI, H.B. Enhanced batch process monitoring using just-in-time-learning based kernel partial least squares. In <em>Chemometrics and Intelligent Laboratory Systems<\/em>, 2013, vol. 123, p. 15-27.<\/li>\n<li>PENG, K.X. &#8211; ZHANG, K. &#8211; LI, G. &#8211; ZHOU, D.H. Contribution rate plot for nonlinear quality-related fault diagnosis with application to the hot strip mill process. In <em>Control Engineering Practice<\/em>, 2013, vol. 21, no. 4, p. 360-369.<\/li>\n<li>HUANG, X. &#8211; CAO, D.S. &#8211; XU, Q.S. &#8211; LIANG, Y.Z. A novel tree kernel partial least squares for modeling the structure-activity relationship. In <em>Journal of Chemometrics<\/em>, 2013, vol. 27, no. 3-4, p. 43-49.<\/li>\n<li>XU, C. &#8211; WANG, C.L. &#8211; JI, F.Z. KPLS-RWBFNN model for MFL 2D defect profile reconstruction. In <em>Nondestructive Testing and Evaluation<\/em>, 2013, vol. 28, no. 1, p. 82-97.<\/li>\n<li>MEHDIKHANI, A. &#8211; LOTFIZADEH, H.R. &#8211; ARMAN, K. &#8211; NOORIZADEH, H. An improved QSPR study of reverse factor of nanoparticles in roadside atmosphere on kernel partial least squares and genetic algorithm. In <em>Journal of Theoretical &amp; Computational Chemistry<\/em>, 2013, vol. 12, no. 1.<\/li>\n<li>SARRO, L.M. &#8211; DEBOSSCHER, J. &#8211; NEINER, C. &#8211; BELLO-GARCIA, A. &#8211; GONZALEZ-MARCOS, A. &#8211; PRENDES-GERO, B. &#8211; ORDIERES, J. &#8211; LEON, G. &#8211; AERTS, C. &#8211; DE BATZ, B. Improved variability classification of CoRoT targets with Giraffe spectra. In <em>Astronomy &amp; Astrophysics<\/em>, 2013, vol. 550.<\/li>\n<li>SARRO, L.M. &#8211; BERIHUETE, A. &#8211; CARRION, C. &#8211; BARRADO, D. &#8211; CRUZ, P. &#8211; ISASI, Y. Properties of ultra-cool dwarfs with Gaia An assessment of the accuracy for the temperature determination. In <em>Astronomy &amp; Astrophysics<\/em>, 2013, vol. 550.<\/li>\n<li>PENG, J.T. &#8211; LI, L.Q. &#8211; TANG, Y.Y. Combination of activation functions in extreme learning machines for multivariate calibration. In <em>Chemometrics and Intelligent Laboratory Systems<\/em>, 2013, vol. 120, p. 53-58.<\/li>\n<li>HARA, K. &#8211; CHELLAPPA, R. Computationally efficient regression on a dependency graph for human pose estimation. In <em>IEEE Conference on Computer Vision and Pattern Recognition (CVPR), <\/em>2013, p. 3390-3397.<\/li>\n<li>PENG, K.X. &#8211; ZHANG, K. &#8211; LI, G. Quality-related process monitoring based on total kernel PLS model and its industrial application. In <em>Mathematical Problems in Engineering<\/em>, 2013.<\/li>\n<li>HU, Y. &#8211; MA, H.H. &#8211; SHI, H.B. Local model based KPLS with application to fault detection of batch process. In <em>25th Chinese Control and Decision Conference (CCDC), <\/em>2013, p. 1097-1103.<\/li>\n<li>ELAISSI, I. &#8211; JAFFEL, I. &#8211; TAOUALI, O. &#8211; MESSAOUD, H. Online prediction model based on the SVD-KPCA method. In <em>ISA Transactions<\/em>, 2013, vol. 52, no. 1, p. 96-104.<\/li>\n<li>MUKHOPADHYAY, S. &#8211; GUNDAPPA, M. &#8211; SRINIVASAN, R. &#8211; NARASIMHAN, S. A Novel attempt to reduce engineering effort in modeling non-linear chemical systems for Operator Training Simulators. In <em>American Control Conference (ACC), <\/em>2013, p. 1902-1907.<\/li>\n<li>SOUILEM, N. &#8211; ELAISSI, I. &#8211; MESSAOUD, H. Comparative study of minimal value parameters and RKPCA in RKHS. In <em>International Conference on Electrical Engineering and Software Applications (ICEESA), <\/em>2013, p. 676-681.<\/li>\n<li>TAOUALI, O. &#8211; ZAKRAOUI, I. &#8211; ELAISSI, I. &#8211; MESSAOUD, H. A new Online Kernel method identification on RKHS Space. In <em>International Conference on Electrical Engineering and Software Applications (ICEESA), <\/em>2013, p. 691-696.<\/li>\n<li>NOORIZADEH, H. &#8211; ARDAKANI, S.S. &#8211; AHMADI, T. &#8211; MORTAZAVI, S.S. &#8211; NOORIZADEH, M. Application of genetic algorithm-kernel partial least square as a novel non-linear feature selection method: partitioning of drug molecules. In <em>Drug Testing and Analysis<\/em>, 2013, vol. 5, no. 2, p. 89-95.<\/li>\n<li>MILANFAR, P. A tour of modern image filtering. In <em>IEEE Signal Processing Magazine<\/em>, 2013, vol. 30, no. 1, p. 106-128.<\/li>\n<li>ZHU, Z. &#8211; SIMIL\u00c4, T. &#8211; CORONA, F. Supervised distance preserving projections. In <em>Neural Processing Letters<\/em>, 2013, vol. 38, no. 3, p. 445-463.<\/li>\n<li>BAKRY, A. &#8211; ELGAMMAL, A. MKPLS: Manifold kernel partial least squares for lipreading and speaker identification. In <em>Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition<\/em>, 2013, art. no. 6618938, p. 684-691.<\/li>\n<li>ZHAO, Q.- ZHOU, G. &#8211; ADALI, T. &#8211; ZHANG, L. &#8211; CICHOCKI, A. Kernel-based tensor partial least squares for reconstruction of limb movements. In <em>ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing<\/em>, 2013, art. no. 6638324, p. 3577-3581.<\/li>\n<li>TANG, J. &#8211; CHAI, T. &#8211; YU, W. &#8211; ZHAO, L. Modeling load parameters of ball mill in grinding process based on selective ensemble multisensor information. In <em>IEEE Transactions on Automation Science and Engineering<\/em>, 2013, vol. 10, no. 3, p. 726-740.<\/li>\n<li>ZHAO, Q. &#8211; ZHOU, G. &#8211; ADALI, T. &#8211; ZHANG, L. &#8211; CICHOCKI, A. Kernelization of tensor-based models for multiway data analysis: Processing of multidimensional structured data. In <em>IEEE Signal Processing Magazine<\/em>, 2013, vol. 30, no. 4, p. 137-148.<\/li>\n<li>ZHAO, Q. &#8211; CAIAFA, C.F. &#8211; MANDIC, D.P. &#8211; CHAO, Z.C. &#8211; NAGASAKA, Y. &#8211; FUJII, N. &#8211; ZHANG, L. &#8211; CICHOCKI, A. Higher order partial least squares (HOPLS): A generalized multilinear regression method. In <em>IEEE Transactions on Pattern Analysis and Machine Intelligence<\/em>, 2013, vol. 35, no. 7, p. 1660-1673.<\/li>\n<li>KIM, Y.S. &#8211; LEE, H. &#8211; JOHNSON, J.D. Churn management optimization with controllable marketing variables and associated management costs. In <em>Expert Systems with Applications<\/em>, 2013, vol. 40, no. 6, p. 2198-2207.<\/li>\n<li>ZHANG, Y. &#8211; ZHANG, L. &#8211; LU, R. Fault identification of nonlinear processes. In <em>Industrial and Engineering Chemistry Research<\/em>, 2013, vol. 52, no. 34, p. 12072-12081.<\/li>\n<li>SRINIVASAN, B.V. &#8211; LUO, Y. &#8211; GARCIA-ROMERO, D. &#8211; ZOTKIN, D.N. &#8211; DURAISWAMI, R. A symmetric kernel partial least squares framework for speaker recognition. In <em>IEEE Transactions on Audio, Speech and Language Processing<\/em>, 2013, vol. 21, no. 7, p. 1415-1423.<\/li>\n<li>FEI, H. &#8211; JINWU, X. &#8211; MIN, L. &#8211; JIANHONG, Y. Product quality modelling and prediction based on wavelet relevance vector machines. In <em>Chemometrics and Intelligent Laboratory Systems<\/em>, 2013, vol. 121, p. 33-41.<\/li>\n<li>CHU, F. &#8211; WANG, F. &#8211; WANG, X. &#8211; ZHANG, S. A kernel partial least squares method for gas turbine power plant performance prediction. In <em>24th Chinese Control and Decision Conference, CCDC 2012<\/em>, art. no. 6244501, p. 3170-3174.<\/li>\n<li>SUKUMAR, N. &#8211; KREIN, M.P. &#8211; EMBRECHTS, M.J. Predictive cheminformatics in drug discovery: Statistical modeling for analysis of micro-array and gene expression data. In <em>Methods in Molecular Biology<\/em>, 2012, vol. 910, p. 165-194.<\/li>\n<li>SONG, K. &#8211; ZHANG, Z. &#8211; TONG, T.-P. &#8211; WU, F. Classifier assessment and feature selection for recognizing short coding sequences of human genes. In <em>Journal of Computational Biology<\/em>, 2012, vol. 19, no. 3, p. 251-260.<\/li>\n<\/ol>\n<p>SCOPUS citations: 29<\/p>\n<ol>\n<li>LI, G. Batch-to-batch iterative learning control for end-point qualities based on kernel principal component regression model. In <em>Journal of Computers (Finland)<\/em>, 2013, vol. 8, no. 12, p. 3184-3190.<\/li>\n<li>BI\u00c7ICI, E. &#8211; GROVES, D. &#8211; VAN GENABITH, J. Predicting sentence translation quality using extrinsic and language independent features. In <em>Machine Translation<\/em>, 2013, vol. 27, no. 3-4, p. 171-192.<\/li>\n<li>ZONG, K. &#8211; SOWMYA, A. &#8211; TRINDER, J. Kernel partial least squares based hierarchical building change detection using high resolution aerial images and lidar data. In <em>International Conference on Digital Image Computing: Techniques and Applications, DICTA 2013<\/em>, art. no. 6691502.<\/li>\n<li>LI, C. &#8211; LU, W. &#8211; XUE, S. &#8211; SHI, Y. Research on quality improvement of polarization imaging in foggy conditions. In <em>Lecture Notes in Computer Science, 8261 LNCS<\/em>, 2013, p. 208-215.<\/li>\n<li>JIN, H. &#8211; WANG, R. Robust image set classification using partial least squares. In <em>Lecture Notes in Computer Science, 8261 LNCS<\/em>, 2013, p. 200-207.<\/li>\n<li>HUANG, S.-C. &#8211; WU, T.-K. High-dimensional data mining in finance by Robust semi-supervised Kernel classifiers on maximum covariance discriminant subspace. In <em>Information (Japan), <\/em>2013, vol. 16, no. 10, p. 7473-7492.<\/li>\n<li>ZHANG, Y. &#8211; ZHANG, L. &#8211; LU, R. Fault identification of nonlinear processes. In <em>Industrial and Engineering Chemistry Research<\/em>, 2013, vol. 52, no. 34, p. 12072-12081.<\/li>\n<li>MARTINEZ, F. &#8211; CARBONE, A. &#8211; PISSALOUX, E. Combining first-person and third-person gaze for attention recognition. In <em>10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013<\/em>, art. no. 6553735.<\/li>\n<li>GUO, G. &#8211; MU, G. Joint estimation of age, gender and ethnicity: CCA vs. PLS. In <em>10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013<\/em>, art. no. 6553737.<\/li>\n<li>XIN, M. &#8211; GU, W. &#8211; MA, L. &#8211; YAN, J. Facial expression recognition based on kernel partial least squares regression. In <em>Journal of Computational Information Systems<\/em>, 2013, vol. 9, no. 11, p. 4281-4289.<\/li>\n<li>LOU, J.-G. &#8211; JIANG, Y.-L. &#8211; SHEN, Q. &#8211; JIANG, J.-H. Evaluating the prediction performance of different kernal functions in kernel based software reliability models. In <em>Jisuanji Xuebao\/Chinese Journal of Computers<\/em>, 2013, vol. 36, no. 6, p. 1303-1311.<\/li>\n<li>TANG, J. &#8211; CHAI, T.-Y. &#8211; YU, W. &#8211; ZHAO, L.-J. On-line KPLS algorithm with application to ensemble modeling parameters of mill load. In <em>Zidonghua Xuebao\/Acta Automatica Sinica<\/em>, 2013, vol. 39, no. 5, p. 471-486.<\/li>\n<li>IBRAHIM, N. &#8211; WIBOWO, A. Partial least squares regression based variables selection for water level predictions. In <em>American Journal of Applied Sciences<\/em>, 2013, vol. 10, no. 4, p. 322-330.<\/li>\n<li>JIA, R. &#8211; MAO, Z. &#8211; WANG, F. KPLS model based product quality control for batch processes. In <em>Huagong Xuebao\/CIESC Journal<\/em>, 2013, vol. 64, no. 4, p. 1332-1339.<\/li>\n<li>SIL\u00c9N, H. &#8211; NURMINEN, J. &#8211; HELANDER, E. &#8211; GABBOUJ, M. Voice conversion for non-parallel datasets using dynamic kernel partial least squares regression. In <em>Annual Conference of the International Speech Communication Association, INTERSPEECH<\/em>, 2013, p. 373-377<\/li>\n<li>CORONA, F. &#8211; ZHU, Z. &#8211; SOUZA JR. A.H. &#8211; MULAS, M. &#8211; BARATTI, R. Spectroscopic monitoring of diesel fuels using Supervised Distance Preserving Projections. In <em>IFAC Proceedings Volumes<\/em>, 2013, vol. 10, p. 63-68.<\/li>\n<li>CORONA, F. &#8211; ZHU, Z. &#8211; SOUZA, A.H. &#8211; MULAS, M. &#8211; BARRETO, G.A. &#8211; BARATTI, R. Monitoring diesel fuels with supervised distance preserving projections and local linear regression. In <em>1st BRICS Countries Congress on Computational Intelligence, BRICS-CCI 2013<\/em>, art. no. 6855885, p. 422-427.<\/li>\n<li>NOORIZADEH, H. Linear and nonlinear quantitative structure linear retention indices relationship models for essential oils. In <em>Eurasian Journal of Analytical Chemistry<\/em>, 2013, vol. 8, no. 2, p. 50-63.<\/li>\n<li>FU, K. &#8211; LIU, P. &#8211; ZHU, M. &#8211; JIANG, S. Sensor fault detection and estimation for nonlinear process with time-delayed variables. In <em>Applied Mechanics and Materials<\/em>, 2012, vol. 182-183, p. 1435-1439.<\/li>\n<li>LI, X. &#8211; XIA, Q. &#8211; ZHUO, L. &#8211; LAM, K.M. A face hallucination algorithm via KPLS-eigentransformation model. In <em>IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012<\/em>, art. no. 6335599, p. 462-467.<\/li>\n<li>ZHAO, Z. &#8211; ZHANG, S.-Y. Technique of breaking current solving of low-voltage molded case circuit breaker based on multi-step regression. In <em>Zhejiang Daxue Xuebao (Gongxue Ban)\/Journal of Zhejiang University (Engineering Science)<\/em>, 2012, vol. 46, no. 11, p. 1943-1952.<\/li>\n<li>YU, J. A Multiway Gaussian mixture model based adaptive kernel partial least squares regression approach for inferential quality predictions of batch processes. In <em>IFAC Proceedings Volumes<\/em>, 2012, vol. 8, p. 57-62.<\/li>\n<li>TANG, J. &#8211; ZHAO, L.-J. &#8211; LONG, J. &#8211; CHAI, T.-Y. &#8211; YU, W. Selective ensemble modeling parameters of mill load based on shell vibration signal. In <em>Lecture Notes in Computer Science, 7367 LNCS<\/em>, 2012, p. 489-497.<\/li>\n<li>HUANG, S.-C. &#8211; WU, T.-K. Robust semi-supervised SVM on kernel partial least discriminant space for high dimensional data mining. In <em>International Conference on Information Science and Applications, ICISA 2012<\/em>, art. no. 6220924.<\/li>\n<li>WIBOWO, A. &#8211; YAMAMOTO, Y. A note on kernel principal component regression. In <em>Computational Mathematics and Modeling<\/em>, 2012, vol. 23, no. 3, p. 350-367.<\/li>\n<li>SHI, H. &#8211; LIU, J. &#8211; ZHANG, Y. &#8211; LI, L. Fault detection method based on relative-transformation partial least squares. In <em>Yi Qi Yi Biao Xue Bao\/Chinese Journal of Scientific Instrument<\/em>, 2012, vol. 33, no. 4, p. 816-822.<\/li>\n<li>KREIN, M. &#8211; HUANG, T.-W. &#8211; MORKOWCHUK, L. &#8211; AGRAFIOTIS, D.K. &#8211; BRENEMAN, C.M. Developing best practices for descriptor-based property prediction: Appropriate matching of datasets, descriptors, methods, and expectations. In <em>Statistical Modelling of Molecular Descriptors in QSAR\/QSPR<\/em>, 2012, vol. 2, p. 33-64.<\/li>\n<li>HUANG, C. &#8211; ZHANG, L. &#8211; EMBRECHTS, M.J. Kernel fusion and optimization in quantitative structure-activity relationship (QSAR). In <em>62nd IIE Annual Conference and Expo 2012<\/em>, p. 3625-3632.<\/li>\n<li>CHIACHIA, G. &#8211; PINTO, N. &#8211; SCHWARTZ, W.R. &#8211; ROCHA, A. &#8211; FALC\u00c3O, A.X. &#8211; COX, D. Person-specific subspace analysis for unconstrained familiar face identification. In <em>BMVC 2012 &#8211; Electronic Proceedings of the British Machine Vision Conference 2012<\/em>.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ROSIPAL, Roman<\/u>. Kernel partial least squares for nonlinear regression and discrimination. In <em>Neural Network World : International Journal on Non-Standard Computing and Artificial Intelligence<\/em>, 2003, vol. 13, no. 3, p. 291-300.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 6<\/p>\n<ol>\n<li>ZHANG, X.Y. &#8211; LI, Q.B. &#8211; ZHANG, G.J. A strategy for multivariate calibration based on modified single-index signal regression: Capturing explicit non-linearity and improving prediction accuracy. In <em>Infrared Physics &amp; Technology<\/em>, 2013, vol. 61, p. 176-183.<\/li>\n<li>ZHANG, Y.W. &#8211; ZHANG, L.J. &#8211; LU, R.Q. Fault identification of nonlinear processes. In <em>Industrial &amp; Engineering Chemistry Research<\/em>, 2013, vol. 52, no. 34, p. 12072-12081.<\/li>\n<li>HU, Y. &#8211; MA, H.H. &#8211; SHI, H.B. Robust online monitoring based on spherical-kernel partial least squares for nonlinear processes with contaminated modeling data. In <em>Industrial &amp; Engineering Chemistry Research<\/em>, 2013, vol. 52, no. 26, p. 9155-9164.<\/li>\n<li>HUANG, X. &#8211; CAO, D.S. &#8211; XU, Q.S. &#8211; LIANG, Y.Z. A novel tree kernel partial least squares for modeling the structure-activity relationship. In <em>Journal of Chemometrics<\/em>, 2013, vol. 27, no. 3-4, p. 43-49.<\/li>\n<li>XU, C. &#8211; WANG, C.L. &#8211; JI, F.Z. KPLS-RWBFNN model for MFL 2D defect profile reconstruction. In <em>Nondestructive Testing and Evaluation<\/em>, 2013, vol. 28, no. 1, p. 82-97.<\/li>\n<li>AUMI, S. &#8211; CORBETT, B. &#8211; MHASKAR, P. &#8211; CLARKE-PRINGLE, T. Data-based modeling and control of nylon-6, 6 batch polymerization. In <em>IEEE Transactions on Control Systems Technology<\/em>, 2013, vol. 21, no. 1, p. 94-106.<\/li>\n<\/ol>\n<p>SCOPUS citations: 5<\/p>\n<ol>\n<li>GE, Y. &#8211; BU, W. &#8211; YANG, D. &#8211; FENG, X. &#8211; ZHANG, X. Two dimension nonnegative partial least squares for face recognition. In <em>ICICS 2013 &#8211; Conference Guide of the 9th International Conference on Information, Communications and Signal Processing<\/em>, 2013, art. no. 6782780.<\/li>\n<li>SHI, H.-T. &#8211; LIU, J.-C. &#8211; TAN, S. &#8211; ZHANG, Y. &#8211; WANG, H.-H. Process monitoring and quality prediction method based on hybrid KPLS-FDA. In <em>Kongzhi yu Juece\/Control and Decision<\/em>, 2013, vol. 28, no. 1, p. 141-146.<\/li>\n<li>LI, X. &#8211; XIA, Q. &#8211; ZHUO, L. &#8211; LAM, K.M. A face hallucination algorithm via KPLS-eigentransformation model. In <em>IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2012<\/em>, art. no. 6335599, p. 462-467.<\/li>\n<li>ZHAO, Z. &#8211; ZHANG, S.-Y. Technique of breaking current solving of low-voltage molded case circuit breaker based on multi-step regression. In <em>Zhejiang Daxue Xuebao (Gongxue Ban)\/Journal of Zhejiang University (Engineering Science)<\/em>, 2012, vol. 46, no. 11, p. 1943-1952.<\/li>\n<li>CHAVES, R. &#8211; RAM\u00cdREZ, J. &#8211; G\u00c1RRIZ, J.M. &#8211; ILL\u00c1N, I.A. &#8211; G\u00c1MEZ-R\u00cdO, M. &#8211; CARNERO, C. Effective diagnosis of Alzheimers disease by means of large margin-based methodology. In <em>BMC Medical Informatics and Decision Making<\/em>, 2012, vol. 12, no. 1, art. no. 79.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ROSIPAL, Roman<\/u> &#8211; TREJO, L.J. &#8211; MATTHEWS, B. Kernel PLS-SVC for linear and nonlinear classification. In <em>Twentieth International Conference on Machine Learning<\/em>. &#8211; 2003, p. 640-647.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>XU, C. &#8211; WANG, C.L. &#8211; JI, F.Z. KPLS-RWBFNN model for MFL 2D defect profile reconstruction. In <em>Nondestructive Testing and Evaluation<\/em>, 2013, vol. 28, no. 1, p. 82-97.<\/li>\n<li>PRADO, R. Sequential estimation of mixtures of structured autoregressive models. In <em>Computational Statistics &amp; Data Analysis<\/em>, 2013, vol. 58, p. 58-70.<\/li>\n<li>TANG, X.X. &#8211; ZHENG, M.C. &#8211; ZHANG, Y.Y. &#8211; FAN, S.J. &#8211; WANG, C. Estimation value of plasma amino acid target analysis to the acute radiation injury early triage in the rat model. In <em>Metabolomics<\/em>, 2013, vol. 9, no. 4, p. 853-863.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>RUBL\u00cdK, Franti\u0161ek<\/u>. On optimality of the LR tests in the sense of exact slopes. Part 1, general case. In <em>Kybernetika<\/em>, 1989, vol. 25, p. 13-25.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>ST\u0158ELEC, L. &#8211; ADAMEC, V. Exploration into power of homogeneity and serial correlation tests. In <em>Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis<\/em>, 2013, vol. 61, no. 4, p. 1129-1136.<\/li>\n<li>ST\u0158ELEC, L. &#8211; STEHL\u00cdK, M. Comparative simulation study of likelihood ratio tests for homogeneity of the exponential distribution. In <em>Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis<\/em>, 2012, vol. 60, no. 7, p. 307-314.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>RUBL\u00cdK, Franti\u0161ek<\/u>. On optimality of the LR tests in the sense of exact slopes. Part 2, application to individual distributions. In <em>Kybernetika<\/em>, 1989, vol. 25, p. 117-135.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>ST\u0158ELEC, L. &#8211; ADAMEC, V. Exploration into power of homogeneity and serial correlation tests. In <em>Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis<\/em>, 2013, vol. 61, no. 4, p. 1129-1136.<\/li>\n<li>ST\u0158ELEC, L. &#8211; STEHL\u00cdK, M. Comparative simulation study of likelihood ratio tests for homogeneity of the exponential distribution. In <em>Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis<\/em>, 2012, vol. 60, no. 7, p. 307-314.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>SAVIN, Alexander<\/u> &#8211; WIMMER, G. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u>. On Kenward-Roger confidence intervals for common mean in interlaboratory trials. In <em>Measurement Science Review<\/em>, 2003, vol. 3, p. 53-56.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>FORKMAN, J. &#8211; PIEPHO, H.P. Performance of empirical BLUP and Bayesian prediction in small randomized complete block experiments. In <em>Journal of Agricultural Science<\/em>, 2013, vol. 151, no. 3, p. 381-395.<\/li>\n<li>BUZUNOV, E. &#8211; MUELLER, A. &#8211; STRAUBE, A. &#8211; ROBINSON, F.R. When during horizontal saccades in monkey does cerebellar output affect movement? In <em>Brain Research<\/em>, 2013, vol. 1503, p. 33-42.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">SEIFERT, M. H. J. &#8211; JAKOB, P. M. &#8211; <u>JELL\u00da\u0160, Vladim\u00edr<\/u> &#8211; HAASE, A. &#8211; HILLENBRAND, C. High-resolution diffusion imaging using a radial turbo-spin-echo sequence: Implementation, eddy current compensation, and self-navigation. In <em>Journal of Magnetic Resonance<\/em>, 2000, vol. 144, p. 243-254.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>LEE, D.-H. &#8211; HONG, Ch.-P. &#8211; LEE, M.-W. &#8211; HAN, B.-S. A simple auto prescan calibration method for multislice fast spin echo MRI. In <em>International Journal of Imaging Systems and Technology<\/em>, 2013, vol. 23, no. 4, p. 289-293.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">SCHULZ, E. &#8211; TIEMANN, L. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u> &#8211; SCHMIDT, P. &#8211; PLONER, M. Gamma oscillations are involved in the sensorimotor transformation of pain. In <em>Journal of Neurophysiology<\/em>, 2012, vol. 108, p. 1025-1031.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>MO, J. &#8211; MAIZELS, M. &#8211; DING, M. &#8211; AHN, A.H. Does throbbing pain have a brain signature? In <em>Pain<\/em>, 2013, vol. 154, no. 7, p. 1150-1155.<\/li>\n<li>JANKOVSKI, A. &#8211; PLAGHKI, L. &#8211; MOURAUX, A. Reliable EEG responses to the selective activation of C-fibre afferents using a temperature-controlled infrared laser stimulator in conjunction with an adaptive staircase algorithm. In <em>Pain<\/em>, 2013, vol. 154, no. 9, p. 1578-1587.<\/li>\n<li>LEISTRITZ, L. &#8211; WEISS, T. &#8211; BAER, K.-J. &#8211; DE VICOFALLANI, F. &#8211; BABILONI, F. &#8211; WITTE, H. &#8211; LEHMANN, T. Network redundancy analysis of effective brain networks; a comparison of healthy controls and patients with major depression. In <em>PLoS One, <\/em>2013, vol. 8, no. 4.<\/li>\n<li>PERINI, I. &#8211; BERGSTRAND, S. &#8211; MORRISON, I. Where pain meets action in the human brain. In <em>Journal of Neuroscience<\/em>, 2013, vol. 33, no. 40, p. 15930-15939.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>SAAB, C.Y. <em>Chronic Pain and Brain Abnormalities<\/em>. ISBN 978-012398389-3, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">SCHWARZ, K. &#8211; PIZZINI, A. &#8211; <u>ARENDACK\u00c1, Barbora<\/u> &#8211; ZERLAUTH, K. &#8211; FILIPIAK, W. &#8211; SCHMID, A. &#8211; DZIEN, A. &#8211; NEUNER, S. &#8211; LECHLEITNER, M. &#8211; SCHOLL-B\u00dcRGI, S. &#8211; MIEKISCH, W. &#8211; SCHUBERT, J. &#8211; UNTERKOFLER, K. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u> &#8211; GASTL, G. &#8211; AMANN, A. Breath acetone &#8211; aspects of normal physiology related to age and gender as determined in a PTR-MS study. In <em>Journal of Breath Research<\/em>, 2009, vol. 3, p. 027003.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 7<\/p>\n<ol>\n<li>TOYOOKA, T. &#8211; HIYAMA, S. &#8211; YAMADA, Y. A prototype portable breath acetone analyzer for monitoring fat loss. In <em>Journal of Breath Research<\/em>, 2013, vol. 7, no. 3.<\/li>\n<li>BUSZEWSKI, B. &#8211; GRZYWINSKI, D. &#8211; LIGOR, T. &#8211; STACEWICZ, T. &#8211; BIELECKI, Z. &#8211; WOJTAS, J. Detection of volatile organic compounds as biomarkers in breath analysis by different analytical techniques. In <em>Bioanalysis, <\/em>2013, vol. 5, no. 18, p. 2287-2306.<\/li>\n<li>WINKLER, K. &#8211; HERBIG, J. &#8211; KOHL, I. Real-time metabolic monitoring with proton transfer reaction mass spectrometry. In <em>Journal of Breath Research<\/em>, 2013, vol. 7, no. 3.<\/li>\n<li>FOSNIGHT, A.M. &#8211; MORAN, B.L. &#8211; MEDVEDEV, I.R. Chemical analysis of exhaled human breath using a terahertz spectroscopic approach. In <em>Applied Physics Letters<\/em>, 2013, vol. 103, no. 13.<\/li>\n<li>WANG, Z. &#8211; WANG, Ch. Is breath acetone a biomarker of diabetes? A historical review on breath acetone measurements. In <em>Journal of Breath Research<\/em>, 2013, vol. 7, no. 3.<\/li>\n<li>KAMARCHUK, G. &#8211; POSPELOV, A. &#8211; KUSHCH, I. Sensors for exhaled gas analysis: An analytical review. In <em>Volatile Biomarkers: Non-Invasive Diagnosis in Physiology and Medicine, <\/em>2013, p. 265-300.<\/li>\n<li>BEAUCHAMP, J. &#8211; HERBIG, J. &#8211; DUNKL, J. &#8211; SINGER, W. &#8211; HANSEL, A. On the performance of proton-transfer-reaction mass spectrometry for breath-relevant gas matrices. In <em>Measurement Science and Technology<\/em>, 2013, vol. 24, no. 12, art. no. 125003.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>SUN, X. &#8211; YANG, X. Volatile organic compounds in normal human exhaled breath: A long neglected pollutant source. In <em>WIT Transactions on the Built Environment<\/em>, 2013, vol. 134, p. 777-783.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">STADNIK, T.W. &#8211; CHASKIS, C. &#8211; MICHOTTE, A. &#8211; SHABANA, W.M. &#8211; VAN ROMPAEY, K. &#8211; LUYPAERT, R. &#8211; <u>BUDINSK\u00dd, \u013dubo\u0161<\/u> &#8211; <u>JELL\u00da\u0160, Vladim\u00edr<\/u> &#8211; OSTEAUX, M. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. In <em>American Journal of Neuroradiology<\/em>, 2001, vol. 22, p. 969-976.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 16<\/p>\n<ol>\n<li>BLASEL, S. &#8211; JURCOANE, A. &#8211; BAEHR, O. &#8211; WEISE, L. &#8211; HARTER, P.N. &#8211; HATTINGEN, E. MR perfusion in and around the contrast-enhancement of primary CNS lymphomas. In <em>Journal of Neuro-Oncology<\/em>, 2013, vol. 114, no. 1, p. 127-134.<\/li>\n<li>HUSTON, J.M. &#8211; FIELD, A.S. Clinical applications of diffusion tensor imaging. In <em>Magnetic Resonance Imaging Clinics of North America<\/em>, 2013, vol. 21, no. 2, p. 279.<\/li>\n<li>ROSE, S. &#8211; FAY, M. &#8211; THOMAS, P. &#8211; BOURGEAT, P. &#8211; DOWSON, N. &#8211; SALVADO, O. &#8211; GAL, Y. &#8211; COULTHARD, A. &#8211; CROZIER, S. Correlation of MRI-derived apparent diffusion coefficients in newly diagnosed gliomas with [F-18]-fluoro-L-dopa PET: What are we really measuring with minimum ADC? In <em>American Journal of Neuroradiology<\/em>, 2013, vol. 34, no. 4, p. 758-764.<\/li>\n<li>HOUSNI, A. &#8211; BOUJRAF, S. Multimodal magnetic resonance imaging in the diagnosis and therapeutical follow-up of brain tumors. In <em>Neurosciences<\/em>, 2013, vol. 18, no. 1, p. 3-10.<\/li>\n<li>KOTHARI, P.D. &#8211; WHITE, N.S. &#8211; FARID, N. &#8211; CHUNG, R. &#8211; KUPERMAN, J.M. &#8211; GIRARD, H.M. &#8211; SHANKARANARAYANAN, A. &#8211; KESARI, S. &#8211; MCDONALD, C.R. &#8211; DALE, A.M. Longitudinal restriction spectrum imaging is resistant to pseudoresponse in patients with high-grade gliomas treated with bevacizumab. In <em>American Journal of Neuroradiology<\/em>, 2013, vol. 34, no. 9, p. 1752-1757.<\/li>\n<li>BRANDAO, L.A. &#8211; SHIROISHI, M.S. &#8211; LAW, M. BRAIN TUMORS A multimodality approach with diffusion-weighted imaging, diffusion tensor imaging, magnetic resonance spectroscopy, dynamic susceptibility contrast and dynamic contrast-enhanced magnetic resonance imaging. In <em>Magnetic Resonance Imaging Clinics of North America<\/em>, 2013, vol. 21, no. 2, p. 199.<\/li>\n<li>KAO, H.-W. &#8211; CHIANG, S.-W. &#8211; CHUNG, H.-W. &#8211; TSAI, F.Y. &#8211; CHEN, Ch.-Y. Advanced MR imaging of gliomas: An update. In <em>BioMed Research International<\/em>, 2013.<\/li>\n<li>KATASHIMA, K. &#8211; KURODA, M. &#8211; ASHIDA, M. &#8211; SASAKI, T. &#8211; TAGUCHI, T. &#8211; MATSUZAKI, H. &#8211; MURAKAMI, J. &#8211; YANAGI, Y. &#8211; HISATOMI, M. &#8211; HARA, M. &#8211; KATO, H. &#8211; OHMURA, Y. &#8211; KOBAYASHI, T. &#8211; KANAZAWA, S. &#8211; HARADA, S. &#8211; TAKEMOTO, M. &#8211; OHNO, S. &#8211; MIMURA, S. &#8211; ASAUMI, J. In vitro assessment of factors affecting the apparent diffusion coefficient of Jurkat cells using bio-phantoms. In <em>Acta Medica Okayama<\/em>, 2013, vol. 67, no. 6, p. 359-367.<\/li>\n<li>LEE, E.J. &#8211; AHN, K.J. &#8211; LEE, E.K. &#8211; LEE, Y.S. &#8211; KIM, D.B. Potential role of advanced MRI techniques for the peritumoural region in differentiating glioblastoma multiforme and solitary metastatic lesions. In <em>Clinical Radiology<\/em>, 2013, vol. 68, no. 12, p. E689-E697.<\/li>\n<li>O&#8217;CONNOR, K.M. &#8211; BAREST, G. &#8211; MORITANI, T. &#8211; SAKAI, O. &#8211; MIAN, A. &#8220;Dazed and diffused&#8221;: Making sense of diffusion abnormalities in neurologic pathologies. In <em>British Journal of Radiology<\/em>, 2013, vol. 86, no. 1032.<\/li>\n<li>PEELER, C. &#8211; PARMAR, H. &#8211; TROBE, J.D. Subretinal abscess causing restricted diffusion on magnetic resonance imaging. In <em>Journal of Neuro-Ophthalmology<\/em>, 2013, vol. 33, no. 4, p. 322-326.<\/li>\n<li>BALOS, D.R. &#8211; GAVRILOVIC, S. &#8211; LAVRNIC, S. &#8211; VASIC, B. &#8211; MACVANSKI, M. &#8211; DAMJANOVIC, D. &#8211; OPINCAL, T.S. Proton magnetic resonance spectroscopy and apparent diffusion coefficient in evaluation of solid brain lesions. In <em>Vojnosanitetski Pregled<\/em>, 2013, vol. 70, no. 7, p. 637-644.<\/li>\n<li>KWAK, E.S. &#8211; MARRERO, D.E. &#8211; PFANNL, R. &#8211; ERBAY, S.H. Sterile brain abscess due to juvenile xanthogranuloma:DWI characteristics. In <em>Journal of<\/em> <em>Neuroimaging<\/em>, 2013, vol. 23, no. 3, p. 437-440.<\/li>\n<li>AI, S. &#8211; ZHU, W. &#8211; LIU, Y. &#8211; WANG, P. &#8211; YU, Q. &#8211; DAI, K. Combined DCE and DW-MRI in the diagnosis of benign and malignant tumors of the tongue. In <em>Frontiers in Bioscience-Landmark<\/em>, 2013, vol. 18, p. 1098-1111.<\/li>\n<li>SLONE, H.W. &#8211; KONTZIALIS, M. &#8211; KIANI, B. &#8211; TRIOLA, C. &#8211; OETTEL, D.J. &#8211; BOUREKAS, E.C. MRI with Magnetic Resonance Spectroscopy of multiple brain abscesses secondary to Scedosporium apiospermum in two immunocompromised patients. In <em>Clinical Imaging<\/em>, 2013, vol. 37, no. 2, p. 361-366.<\/li>\n<li>LIN, I.-T. &#8211; YANG, H.-Ch. &#8211; CHEN, J.-H. Diffusion tensor imaging using a high-temperature superconducting resonator in a 3 T magnetic resonance imaging for a spontaneous rat brain tumor. In <em>Applied Physics Letters<\/em>, 2013, vol. 102, no. 6.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>GUPTA, A. &#8211; PRABHU, S.M. &#8211; SUREKA, J. &#8211; CHACKO, G. Role of diffusion weighted MRI in differentiating typical from atypical meningiomas at 1.5 and 3T MRI. In <em>Egyptian Journal of Radiology and Nuclear Medicine<\/em>, 2013, vol. 44, no. 3, p. 635-640.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">STEIN, G.J. &#8211; CHM\u00daRNY, R. &#8211; <u>ROS\u00cdK, Vladim\u00edr<\/u>. Compact vibration measuring system for in-vehicle applications. In <em>Measurement Science Review<\/em>, 2011, vol. 11, no. 5, p. 154-159.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>VENKATESH, K.A. &#8211; MATHIVANAN, N. CAN network based longitudinal velocity measurement using accelerometer and GPS receiver for automobiles. In <em>Measurement Science Review<\/em>, 2013, vol. 13, no. 3, p. 115-121.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160R\u00c1MEK, Milo\u0161<\/u> &#8211; KAUFMAN, A. Fast ray-tracing of rectilinear volume data using. In <em>IEEE Transactions on Visualization and Computer Graphics<\/em>, 2000, vol. 6, no. 3, p. 236-252.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>PENG, Y.J. &#8211; WANG, Y.H. Research on accelerating rendering technology of medical images visualization. In <em>Mechatronics and Industrial Informatics<\/em>, 2013, vol. 321-324, p. 1070-1074.<\/li>\n<li>ZAVALA-ROMERO, O. &#8211; MEYER-BAESE, A. &#8211; MEYER-BAESE, U. Multiplatform GPGPU implementation of the Active Contours Without Edges algorithm. In <em>Visual Information Processing XXI<\/em>, 2012, vol. 8399.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160TOLC, Svorad<\/u> &#8211; BAJLA, Ivan. Improvement of band segmentation in Epo images via column shift transformation with cost functions. In <em>Medical &amp; Biological Engineering &amp; Computing : Journal of the International Federation for Medical and Biological Engineering<\/em>, 2006, vol. 44, no. 4, p. 257-274.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>MOREIRA, B.M. &#8211; SOUSA, A.V. &#8211; MENDON\u00c7A, A.M. &#8211; CAMPILHO, A. Correction of geometrical distortions in bands of chromatography images. In <em>Lecture Notes in Computer Science, 7950 LNCS<\/em>, p. 274-281.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160TOLC, Svorad<\/u> &#8211; BAJLA, Ivan. On the optimum architecture of the biologically inspired hierarchical temporal memory model applied to the hand-written digit recognition. In <em>Measurement Science Review<\/em>, 2010, vol. 10, no. 2, p. 28-49.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>RODRIGUEZ-COBO, L. &#8211; RUIZ-LOMBERA, R. &#8211; CONDE, O.M. &#8211; L\u00d3PEZ-HIGUERA, J.-M. &#8211; COBO, A. &#8211; MIRAPEIX, J. Feasibility study of Hierarchical Temporal Memories applied to welding diagnostics. In <em>Sensors and Actuators, A: Physical<\/em>, 2013, vol. 204, p. 58-66.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160TOLC, Svorad<\/u> &#8211; <u>KRAKOVSK\u00c1, Anna<\/u>. EEG: Spectral characteristics vs. Correlation dimension. In <em>Dynamics Days 2003 : International Conference<\/em>. Palma de Mallorca, Spain, September 24-27, 2003.<\/span><\/li>\n<\/ul>\n<p>Other citations: 1<\/p>\n<ol>\n<li>SAHA, D.P. &#8211; DESAI, A.R. Performance analysis of computing multichannel correlation dimension (D2) on multicore system and GPU. In Academia.edu, 2013, http:\/\/www.academia.edu\/4407837\/Performance_Analysis_of_computing_Multichannel_Correlation_Dimension_D2_on_Multicore_System_and_GPU.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160TRB\u00c1K, Oliver<\/u> &#8211; KOP\u010cANSK\u00dd, P. &#8211; <u>FROLLO, Ivan<\/u>. Biogenic magnetite in humans and new magnetic resonance hazard questions. In <em>Measurement Science Review<\/em>, 2011, vol. 11, no. 3, p. 85-91.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>KOPYL, S. &#8211; BYSTROV, V. &#8211; BDIKIN, I. &#8211; MAIOROV, M. &#8211; SOUSA, A.C.M. Filling carbon nanotubes with magnetic particles. In <em>Journal of Materials Chemistry C<\/em>, 2013, vol. 1, no. 16, p. 2860-2866.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160U\u0160M\u00c1KOV\u00c1, Krist\u00edna<\/u> &#8211; <u>KRAKOVSK\u00c1, Anna<\/u>. Classification of waking, sleep onset and deep sleep by single measures. In <em>Measurement Science Review<\/em>, 2007, vol. 7, no. 3, p. 34-38.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>RIAL, R. &#8211; GONZALEZ, J. &#8211; GENE, L. &#8211; AKAARIR, M. &#8211; ESTEBAN, S. &#8211; GAMUNDI, A. &#8211; BARCELO, P. &#8211; NICOLAU, C. Asymmetric sleep in apneic human patients. In <em>American Journal of Physiology-Regulatory Integrative and Comparative Physiology<\/em>, 2013, vol. 304, no. 3, p. R232-R237.<\/li>\n<li>SCHMIDT, S. &#8211; MANTE, A. &#8211; RONNEFARTH, M. &#8211; FLEISCHMANN, R. &#8211; GALL, C. &#8211; BRANDT, S.A. Progressive enhancement of alpha activity and visual function in patients with optic neuropathy: A two-week repeated session alternating current stimulation study. In <em>Brain Stimulation<\/em>, 2013, vol. 6, no. 1, p. 87-93.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>JOHNSON, M.L. &#8211; BODENHAMER-DAVIS, E. &#8211; BAILEY, L.J. &#8211; GATES, M.S. Spectral dynamics and therapeutic implications of the theta\/alpha crossover in alpha-theta neurofeedback. In <em>Journal of Neurotherapy<\/em>, 2013, vol. 17, no. 1, p. 3-34.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160U\u0160M\u00c1KOV\u00c1, Krist\u00edna<\/u> &#8211; <u>KRAKOVSK\u00c1, Anna<\/u>. Discrimination ability of individual measures used in sleep stages classification. In <em>Artificial Intelligence in Medicine<\/em>, 2008, vol. 44, p. 261-277.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>OZSEN, S. Classification of sleep stages using class-dependent sequential feature selection and artificial neural network. In <em>Neural Computing &amp; Applications<\/em>, 2013, vol. 23, no. 5, p. 1239-1250.<\/li>\n<li>CIC, M. &#8211; SODA, J. &#8211; BONKOVIC, M. Automatic classification of infant sleep based on instantaneous frequencies in a single-channel EEG signal. In <em>Computers in Biology and Medicine<\/em>, 2013, vol. 43, no. 12, p. 2110-2117.<\/li>\n<li>XIAO, M. &#8211; YAN, H. &#8211; SONG, J. &#8211; YANG, Y. &#8211; YANG, X. Sleep stages classification based on heart rate variability and random forest. In <em>Biomedical Signal Processing and Control<\/em>, 2013, vol. 8, no. 6, p. 624-633.<\/li>\n<\/ol>\n<p>SCOPUS citations: 4<\/p>\n<ol>\n<li>ALARAJ, M. &#8211; FUKAMI, T. Quantitative evaluation for the wakefulness state using complexity-based decision threshold value in EEG signals. In <em>Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS<\/em>, 2013, art. no. 6610963, p. 6175-6178.<\/li>\n<li>YUCELBAS, C. &#8211; OZSEN, S. &#8211; GUNES, S. &#8211; YOSUNKAYA, S. Effect of some power spectral density estimation methods on automatic sleep stage scoring using artificial neural networks. In <em>IADIS International Conference &#8211; Intelligent Systems and Agents 2013; IADIS European Conference on Data Mining 2013<\/em>, p. 43-50<\/li>\n<li>ALARAJ, M. &#8211; FUKAMI, T. Quantification of subject wakefulness state during routine EEG examination. In <em>International Journal of Innovative Computing, Information and Control<\/em>, 2013, vol. 9, no. 8, p. 3211-3223.<\/li>\n<li>PIRYATINSKA, A. Electroencephalogram-sleep study. In <em>Wiley Interdisciplinary Reviews: Computational Statistics<\/em>, 2013, vol. 5, no. 4, p. 326-333.<\/li>\n<\/ol>\n<p>Other citations: 2<\/p>\n<ol>\n<li>L\u00c4NGKVIST, M. &#8211; KARLSSON, L. &#8211; LOUTFI, A. Sleep stage classi\ufb01cation using unsupervised feature learning. In <em>Advances in Artificial Neural Systems<\/em>, 2012, vol. 2012, article ID 107046.<\/li>\n<li>XIAO, M. &#8211; YAN, H. Review on researches of ECG characteristics during sleep. In <em>Space Medicine &amp; Medical Engineering<\/em>, 2013, vol. 26, no. 1, p. 74-78.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>\u0160U\u0160M\u00c1KOV\u00c1, Krist\u00edna<\/u>. Human sleep and sleep EEG. In <em>Measurement Science Review<\/em>, 2004, vol. 4, p. 59-74.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>YAACOB, H. &#8211; ABDUL, W. &#8211; KAMARUDDIN, N. Classification of EEG signals using MLP based on categorical and dimensional perceptions of emotions. In <em>5th International Conference on Information and Communication Technology for the Muslim World (ICT4M),<\/em> 2013.<\/li>\n<li>VAN DEVENDER, M. &#8211; SHANG, Y. Wake IQ: Using a smartphone to reduce sleep inertia. In <em>IEEE Consumer Communications and Networking Conference (CCNC), <\/em>2013, p. 649-652.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>WANG, C. &#8211; ALVAREZ, S.A. &#8211; RUIZ, C. &#8211; MOONIS, M. Computational modeling of sleep stage dynamics using weibull semi-Markov chains. In <em>HEALTHINF 2013 &#8211; International Conference on Health Informatics<\/em>, 2013, p. 122-130.<\/li>\n<li>PIRYATINSKA, A. Electroencephalogram-sleep study. In <em>Wiley Interdisciplinary Reviews: Computational Statistics<\/em>, 2013, vol. 5, no. 4, p. 326-333.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>TEPLAN, Michal<\/u> &#8211; <u>KRAKOVSK\u00c1, Anna<\/u> &#8211; <u>\u0160TOLC, Svorad<\/u>. EEG responses to long-term audio-visual stimulation. In <em>International Journal of Psychophysiology<\/em>, 2006, vol. 59, p. 81-90.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>POZA, J. &#8211; GOMEZ, C. &#8211; GUTIERREZ, M.T. &#8211; MENDOZA, N. &#8211; HORNERO, R. Effects of a multi-sensory environment on brain-injured patients: Assessment of spectral patterns. In <em>Medical Engineering &amp; Physics<\/em>, 2013, vol. 35, no. 3, p. 365-375.<\/li>\n<li>CINEL, C. &#8211; POLI, R. &#8211; CITI, L. &#8211; ROBERSON, D. An exploration of the effects of audio-visual entrainment on Parkinson&#8217;s disease tremor. In <em>6th International IEEE\/EMBS Conference on Neural Engineering (NER)<\/em>, 2013, p. 1562-1565.<\/li>\n<li>LEE, Y.-Y. &#8211; SEE, A.R. &#8211; CHEN, S.-Ch. &#8211; LIANG, Ch.-K. Effect of music listening on frontal EEG asymmetry. In <em>Information, Communication and Engineering<\/em>, 2013, vol. 311, p. 502-506.<\/li>\n<li>WANG, D. &#8211; XU, M. &#8211; ZHANG, Y. &#8211; XIAO, J. Preliminary study on haptic-stimulation based brainwave entrainment. In <em>World Haptics Conference (WHC)<\/em>, 2013, p. 565-570.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>BARACSKAI, Z., FINN, S. Relaxation effects of binaural phenomena. In <em>Proceedings of the AES International Conference<\/em>, 2013, p. 139-143.<\/li>\n<li>ARIS, S.A.M. &#8211; TAIB, M.N. &#8211; SULAIMAN, N. &#8211; MURAT, Z.H. &#8211; MUSTAFA, M. A novel method to index the psychological condition using frontal alpha asymmetry classification. In <em>International Journal of Simulation: Systems, Science and Technology<\/em>, 2012, vol. 13, no. 4, p. 7-13.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>TEPLAN, Michal<\/u> &#8211; <u>KRAKOVSK\u00c1, Anna<\/u> &#8211; <u>\u0160TOLC, Svorad<\/u>. Short-term effects of audio-visual stimulation on EEG. In <em>Measurement Science Review<\/em>, 2006, vol. 6, no. 4, p. 67-70.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>NOOR, W.M.F.W.M. &#8211; ZAINI, N. &#8211; NORHAZMAN, H. &#8211; LATIP, M.F.A. Dynamic encoding of binaural beats for brainwave entrainment. In <em>IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2013<\/em>, art. no. 6720041, p. 626-630.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>TEPLAN, Michal<\/u>. Fundamentals of EEG measurement. In <em>Measurement Science Review<\/em>, 2002, vol. 2, p. 1-11.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 28<\/p>\n<ol>\n<li>PEDROSA, P. &#8211; MACHADO, D. &#8211; LOPES, C. &#8211; ALVES, E. &#8211; BARRADAS, N.P. &#8211; MARTIN, N. &#8211; MACEDO, F. &#8211; FONSECA, C. &#8211; VAZ, F. Nanocomposite Ag:TiN thin films for dry biopotential electrodes. In <em>Applied Surface Science<\/em>, 2013, vol. 285, A, p. 40-48.<\/li>\n<li>SOTELO, A. &#8211; GUIJARRO, E. &#8211; TRUJILLO, L. &#8211; CORIA, L.N. &#8211; MARTINEZ, Y. Identification of epilepsy stages from ECoG using genetic programming classifiers. In <em>Computers in Biology and Medicine<\/em>, 2013, vol. 43, no. 11, p. 1713-1723.<\/li>\n<li>EVERDELL, N.L. &#8211; AIRANTZIS, D. &#8211; KOLVYA, C. &#8211; SUZUKI, T. &#8211; ELWELL, C.E. A portable wireless near-infrared spatially resolved spectroscopy system for use on brain and muscle. In <em>Medical Engineering &amp; Physics<\/em>, 2013, vol. 35, no. 11, p. 1692-1697.<\/li>\n<li>SHEN, C.P. &#8211; CHEN, C.C. &#8211; HSIEH, S.L. &#8211; CHEN, W.H. &#8211; CHEN, J.M. &#8211; CHEN, C.M. &#8211; LAI, F.P. &#8211; CHIU, M.J. High-performance seizure detection system using a wavelet-approximate entropy-fSVM cascade with clinical validation. In <em>Clinical EEG and Neuroscience<\/em>, 2013, vol. 44, no. 4, p. 247-256.<\/li>\n<li>MOTA, A.R. &#8211; DUARTE, L. &#8211; RODRIGUES, D. &#8211; MARTINS, A.C. &#8211; MACHADO, A.V. &#8211; VAZ, F. &#8211; FIEDLER, P. &#8211; HAUEISEN, J. &#8211; NOBREGA, J.M. &#8211; FONSECA, C. Development of a quasi-dry electrode for EEG recording. In <em>Sensors and Actuators A-Physical<\/em>, 2013, vol. 199, p. 310-317.<\/li>\n<li>LAAD, M. Investigating relative strengths and positions of electrical activity in the left and right hemispheres of the human brain using Electroencephalography. In <em>Biomedical Research-India<\/em>, 2013, vol. 24, no. 3, p. 359-364.<\/li>\n<li>YAO, L. &#8211; MENG, J.J. &#8211; ZHANG, D.G. &#8211; SHENG, X.J. &#8211; ZHU, X.Y. Selective sensation based brain-computer interface via mechanical vibrotactile stimulation. In <em>PLoS One<\/em>, 2013, vol. 8, no. 6.<\/li>\n<li>DE GUINEA, A.O. &#8211; TITAH, R. &#8211; LEGER, P.M. Measure for Measure: A two study multi-trait multi-method investigation of construct validity in IS research. In <em>Computers in Human Behavior<\/em>, MAY 2013, vol. 29, no. 3, p. 833-844.<\/li>\n<li>MAYAUD, L. &#8211; FILIPE, S. &#8211; PETEGNIEF, L. &#8211; ROCHECOUSTE, O. &#8211; CONGEDO, M. Robust brain-computer interface for virtual keyboard (RoBIK): Project results. In <em>IRBM<\/em>, 2013, vol. 34, no. 2, SI, p. 131-138.<\/li>\n<li>PENALOZA, C. &#8211; MAE, Y. &#8211; OHARA, K. &#8211; ARAI, T. BMI-based learning system for appliance control automation. In <em>IEEE International Conference on Robotics and Automation (ICRA), <\/em>2013, p. 3396-3402.<\/li>\n<li>FUAD, N. &#8211; TAIB, M.N. &#8211; ISA, R.M. &#8211; JAHIDIN, A.H. &#8211; OMAR, W.R.W. Brain balancing pattern between left and right frontal using mean relative power ratio via three dimensional EEG model. In <em>9th International Conference on Cognitive Science<\/em>, 2013, vol. 97, p. 38-45.<\/li>\n<li>OMAR, W.R.W. &#8211; TAIB, M.N. &#8211; JAILANI, R. &#8211; FUAD, N. &#8211; ISA, R.M. &#8211; JAHIDIN, A.H. &#8211; SHARIF, Z. Acute ischemic stroke brainwave classification using relative power ratio cluster analysis. In <em>9th International Conference on Cognitive Science<\/em>, 2013, vol. 97, p. 546-552.<\/li>\n<li>PUYOL, R. &#8211; LENZI, G. &#8211; BARG, G. &#8211; ARNAUD, A. A portable, high density EEG acquisition system. In <em>7th Argentine School of Micro-Nanoelectronics, Technology and Applications (EAMTA)<\/em>, 2013, p. 32-37.<\/li>\n<li>LOVELACE, J.A. &#8211; WITT, T.S. &#8211; BEYETTE, F.R. Bluetooth enabled electroencephalograph (EEG) platform. In <em>IEEE 56th International Midwest Symposium on Circuits and Systems (MWSCAS), <\/em>2013, p. 1172-1175.<\/li>\n<li>RAHMAN, K.A.A. &#8211; IBRAHIM, B.S.K.K. &#8211; MAHADI, M. &#8211; JAMIL, A. &#8211; MASDAR, A. Relationship between brainwave signal and human activity of knee joint movement for paraplegic. In <em>6th Biomedical Engineering International Conference (BMEICON 2013).<\/em><\/li>\n<li>MACHADO, D. &#8211; PEDROSA, P. &#8211; FONSECA, C. &#8211; MARTIN, N. &#8211; VAZ, F. Structural and morphological changes in Ag:TiN nanocomposite films promoted by in-vacuum annealing. In <em>Journal of Nano Research<\/em>, 2013, vol. 25, p. 67-76.<\/li>\n<li>KUKUCKA, M. &#8211; KRAJCUSKOVA, Z. &#8211; STOPJAKOVA, V. &#8211; DURACKOVA, D. The influence of the amplitude of driving signal in measurement of the active points on human skin. In <em>Radioelektronika 2013 &#8211; 23rd International Conference, <\/em>2013, p. 166-171.<\/li>\n<li>MUSTAFA, M. &#8211; TAIB, M.N. &#8211; LIAS, S. &#8211; MURAT, Z.H. &#8211; SULAIMAN, N. EEG spectrogram classification employing ANN for IQ application. In <em>International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), <\/em>2013, p. 199-203.<\/li>\n<li>SANEI, S. Brain signals, their generation, acquisition and properties. In <em>Adaptive Processing of Brain Signals<\/em>, 2013, p. 1-36.<\/li>\n<li>OMAR, W.R.W. &#8211; JAILANI, R. &#8211; TAIB, M.N. &#8211; ISA, R.M. &#8211; SHARIF, Z. Assessment of acute ischemic stroke brainwave using relative power ratio. In <em>IEEE 9th International Colloquium on Signal Processing and Its Applications (CSPA),<\/em> 2013, p. 310-313.<\/li>\n<li>ON, F.R. &#8211; JAILANI, R. &#8211; NORHAZMAN, H. &#8211; ZAINI, N.M. Binaural beat effect on brainwaves based on EEG. In <em>IEEE 9th International Colloquium on Signal Processing and Its Applications (CSPA),<\/em> 2013, p. 339-343.<\/li>\n<li>YAMAN, F. &#8211; YAKHNO, V.G. &#8211; POTTHAST, R. A survey on inverse problems for applied sciences. In <em>Mathematical Problems in Engineering<\/em>, 2013.<\/li>\n<li>AWANG, S.A. &#8211; PAULRAJ, M.P. &#8211; YAACOB, S. Implementing eigen features methods\/neural network for EEG signal analysis. In <em>7th International Conference on Intelligent Systems and Control (ISCO 2013),<\/em> 2013, p. 201-204.<\/li>\n<li>MISHRA, P. &#8211; SINGLA, S.K. Artifact removal from biosignal using fixed point ICA algorithm for pre-processing in biometric recognition. In <em>Measurement Science Review<\/em>, 2013, vol. 13, no. 1, p. 7-11.<\/li>\n<li>QASSIM, Y.T. &#8211; CUTMORE, T.R.H. &#8211; JAMES, D.A. &#8211; ROWLANDS, D.D. Wavelet coherence of EEG signals for a visual oddball task. In <em>Computers in Biology and Medicine<\/em>, 2013, vol. 43, no. 1, p. 23-31.<\/li>\n<li>RICE, J.K. &#8211; RORDEN, C. &#8211; LITTLE, J.S. &#8211; PARRA, L.C. Subject position affects EEG magnitudes. In <em>Neuroimage<\/em>, 2013, vol. 64, p. 476-484.<\/li>\n<li>SOTELO, A. &#8211; GUIJARRO, E. &#8211; TRUJILLO, L. &#8211; CORIA, L. &#8211; MARTINEZ, Y. Analysis and classification of epilepsy stages with genetic programming. In <em>EVOLVE &#8211; A Bridge Between Probability, Set Oriented Numerics, and Evolutionary Computation II, <\/em>2013, vol. 175, p. 57-70.<\/li>\n<li>SAYORWAN, W. &#8211; RUANGRUNGSI, N. &#8211; PIRIYAPUNYPORN, T. &#8211; HONGRATANAWORAKIT, T. &#8211; KOTCHABHAKDI, N. &#8211; SIRIPORNPANICH, V. Effects of inhaled rosemary oil on subjective feelings and activities of the nervous system. In <em>Scientia Pharmaceutica<\/em>, 2013, vol. 81, no. 2, p. 531-542.<\/li>\n<\/ol>\n<p>SCOPUS citations: 17<\/p>\n<ol>\n<li>MUSTAFA, M. &#8211; TAIB, M.N. &#8211; MURAT, Z.H. &#8211; LIAS, S. &#8211; SULAIMAN, N. Statistical analysis of balanced brain and IQ applications. In <em>IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013<\/em>, art. no. 6650162, p. 157-161.<\/li>\n<li>OMAR, W.R.W. &#8211; TAIB, M.N. &#8211; JAILANI, R. &#8211; FUAD, N. &#8211; MOHD ISA, R. &#8211; JAHIDIN, A.H. &#8211; SHARIF, Z. Acute ischemic stroke brainwave classification using Relative Power Ratio Discriminant Function Analysis. In <em>IEEE 4th Control and System Graduate Research Colloquium, ICSGRC 2013<\/em>, art. no. 6653279, p. 75-79.<\/li>\n<li>ISA, R.M. &#8211; PASYA, I. &#8211; TAIB, M.N. &#8211; JAHIDIN, A.H. &#8211; OMAR, W.R.W. &#8211; FUAD, N. &#8211; NORHAZMAN, H. EEG brainwave behaviour due to RF Exposure using kNN classification. In <em>IEEE 3rd International Conference on System Engineering and Technology, ICSET 2013<\/em>, art. no. 6650205, p. 385-388.<\/li>\n<li>JENSEN, A.N. &#8211; CLARK, A.J. &#8211; SPARKS, N.T. &#8211; CHIU, S. &#8211; SCHOEN, M.P. Embedded electroencephalogram processing and control for the actuation of a prosthetic thumb prototype. In <em>IEEE International Conference on Electro Information Technology<\/em>, 2013, art. no. 6632671.<\/li>\n<li>KHASNOBISH, A. &#8211; KONAR, A. &#8211; TIBAREWALA, D.N. &#8211; BHATTACHARYYA, S. &#8211; JANARTHANAN, R. Object shape recognition from EEG signals during tactile and visual exploration. In <em>Lecture Notes in Computer Science, 8251 LNCS<\/em>, 2013, p. 459-464.<\/li>\n<li>ROSS, V. &#8211; MOHD-ZAIN, Z. &#8211; MURAT, Z.H. &#8211; BUNIYAMIN, N. &#8211; LIAS, S. Hemispheric brainwave activity of violinists performing with music notation and without music notation. In <em>Science and Information Conference, SAI 2013<\/em>, art. no. 6661780, p. 467-471.<\/li>\n<li>FUAD, N. &#8211; MANSOR, W. &#8211; LEE, K.Y. Wavelet packet analysis of EEG signals from dyslexic children with writing disability. In <em>Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS<\/em>, 2013, art. no. 6610144, p. 2890-2893.<\/li>\n<li>EKANAYAKE, H.B. &#8211; BACKLUND, P. &#8211; ZIEMKE, T. &#8211; RAMBERG, R. &#8211; HEWAGAMAGE, K.P. &#8211; LEBRAM, M. Comparing expert driving behavior in real world and simulator contexts. In <em>International Journal of Computer Games Technology<\/em>, 2013, art. no. 891431.<\/li>\n<li>SANEI, S. &#8211; CHAMBERS, J.A. <em>EEG Signal Processing.<\/em> ISBN 978-047002581-9. John Wiley and Sons, 2013.<\/li>\n<li>YUEN, C.T. &#8211; SAN, W.S. &#8211; HO, J.-H. &#8211; RIZON, M. Effectiveness of statistical features for human emotions classification using EEG biosensors. In <em>Research Journal of Applied Sciences, Engineering and Technology<\/em>, 2013, vol. 5, no. 21, p. 5083-5089.<\/li>\n<li>PAULRAJ, M.P. &#8211; SUBRAMANIAM, K. &#8211; YACCOB, S.B. &#8211; HAMID, A. &#8211; HEMA, C.R. EEG based detection of conductive and sensorineural hearing loss using artificial neural networks. In <em>Journal of Next Generation Information Technology<\/em>, 2013, vol. 4, no. 3, p. 204-212.<\/li>\n<li>MARTI\u0160IUS, I. &#8211; \u0160IDLAUSKAS, K. &#8211; DAMA\u0160EVI\u010cIUS, R. Real-time training of Voted Perceptron for classification of EEG data. In <em>International Journal of Artificial Intelligence<\/em>, 2013, vol. 10, no. 13S, p. 41-50.<\/li>\n<li>CHEEMALAPATI, S. &#8211; GUBANOV, M. &#8211; DEL VALE, M. &#8211; PYAYT, A. A real-time classification algorithm for emotion detection using portable EEG. In <em>IEEE 14th International Conference on Information Reuse and Integration, IEEE IRI 2013<\/em>, art. no. 6642541, p. 720-723.<\/li>\n<li>BAEK, H.J. &#8211; LEE, H.J. &#8211; LIM, Y.G. &#8211; PARK, K.S. Comparison of pre-amplifier topologies for use in brain-computer interface with capacitively-coupled EEG electrodes. In <em>Biomedical Engineering Letters<\/em>, 2013, vol. 3, no. 3, p. 158-169.<\/li>\n<li>YEELACK, W. &#8211; MEESANE, J. Preparation and characterization of coated silk fibroin films with mimicked re-self assembly type i collagen. In <em>BMEICON 2013 &#8211; 6th Biomedical Engineering International Conference<\/em>, 2013, art. no. 6687711.<\/li>\n<li>LOVELACE, J.A. &#8211; WITT, T.S. &#8211; BEYETTE, F.R. Modular, bluetooth enabled, wireless electroencephalograph (EEG) platform. In <em>Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS<\/em>, 2013, art. no. 6611009, p. 6361-6364.<\/li>\n<li>LAAD, M. Brain-computer interface: Electroencephalography as an emerging tool for BCI applications. In <em>International Journal of Applied Engineering Research<\/em>, 2013, vol. 8, no. 1, p. 47-54.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>TEPLAN, Michal<\/u> &#8211; <u>KRAKOVSK\u00c1, Anna<\/u> &#8211; <u>\u0160TOLC, Svorad<\/u>. Direct effects of audio-visual stimulation on EEG. In <em>Computer Methods and Programs in Biomedicine<\/em>, 2011, vol. 102, no. 1, p. 17-24.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>WU, J.-H. &#8211; CHANG, Y.-Ch. Effect of low-level laser stimulation on EEG power in normal subjects with closed eyes. In <em>Evidence-Based Complementary and Alternative Medicine<\/em>, 2013.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>TEPLAN, Michal<\/u> &#8211; KUKU\u010cKA, M. &#8211; ONDREJKOVI\u010cOV\u00c1, A. Impedance analysis of acupuncture points and pathways. In <em>Journal of Physics: Conference Series<\/em>, 2011, vol. 329, art.no. 012034.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>SU, M.-Y. &#8211; TAN, Y.-H. &#8211; WANG, Z.-M. &#8211; GAN, C.-J. &#8211; CHEN, S.-H. System for simultaneous measurements of bilaterally symmetrical acupoints multifrequency impedances. In <em>Medical Devices: Evidence and Research<\/em>, 2013, vol. 6, no. 1, p. 203-209.<\/li>\n<li>XIE, L. &#8211; YANG, G. &#8211; XU, L. &#8211; SEOANE, F. &#8211; CHEN, Q. &#8211; ZHENG, L. Characterization of dry biopotential electrodes. In <em>Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS<\/em>, 2013, art. no. 6609791, p. 1478-1481.<\/li>\n<li>BRUMEK, J. &#8211; HLAVACKOVA, M. &#8211; PENHAKER, M. &#8211; KOVACIK, M. Measurement and analysis of skin incision mechanical properties treated by colagenous glue. In <em>IFAC Proceedings Volumes<\/em>, 2013, vol. 12, p. 46-49.<\/li>\n<li>VACULIK, L. &#8211; PENHAKER, M. High efficiency code optimization in ARM cortex-M series procesor. In <em>IFAC Proceedings Volumes<\/em>, 2013, vol. 12, p. 312-315.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TI\u0147O, P. &#8211; <u>FARKA\u0160, Igor<\/u> &#8211; VAN MOURIK, J.M. Dynamics and topographic organization of recursive self-organizing maps. In <em>Neural Computation<\/em>, 2006, vol. 18, p. 2529-2567.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>BACCIU, D. &#8211; MICHELI, A. &#8211; SPERDUTI, A. Compositional generative mapping for tree-structured data-Part II: Topographic projection model. In <em>IEEE Transactions on Neural Networks and Learning Systems<\/em>, 2013, vol. 24, no. 2, p. 231-247.<\/li>\n<li>LI, P. &#8211; ZHAO, X. Self-organizing map models of language acquisition. In <em>Frontiers in Psychology<\/em>, 2013, vol. 4.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>KHOUZAM, B. &#8211; FREZZA-BUET, H. Distributed recurrent self-organization for tracking the state of non-stationary partially observable dynamical systems. In <em>Biologically Inspired Cognitive Architectures<\/em>, 2013, vol. 3, p. 87-104.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TOFFANIN, R. &#8211; MLYN\u00c1RIK, V. &#8211; RUSSO, S. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; PIRAS, A. &#8211; VITTUR, F. Proteoglycan depletion and magnetic resonance parameters of articular cartilage. In <em>Archives of Biochemistry and Biophysics<\/em>, 2001, vol. 390, no. 2, p. 235-242.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>PETCHPRAPA, C.N. &#8211; RECHT, M.P. Imaging of chondral lesions including femoroacetabular impingement. In <em>Seminars in Musculoskeletal Radiology<\/em>, 2013, vol. 17, no. 3, p. 258-271.<\/li>\n<li>CHAN, D.D. &#8211; NEU, C.P. Probing articular cartilage damage and disease by quantitative magnetic resonance imaging. In <em>Journal of the Royal Society Interface<\/em>, 2013, vol. 10, no. 78.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TRATTNIG, S. &#8211; MARLOVITS, S. &#8211; GEBETSROITHER, S. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; WELSCH, G.H. &#8211; SALOMONOWITZ, E. &#8211; WANATABE, A. &#8211; DEIMLING, M. &#8211; MAMISCH, T.C. Three-dimensional delayed Gadolinium enhanced MRI of cartilage (dGEMRIC) for in vivo evaluation of reparative cartilage after matrix-associated autologous chondrocyte transplantation at 3.0 T &#8211; preliminary results. In <em>Journal of Magnetic Resonance Imaging<\/em>, 2007, vol. 26, no. 4, p. 974-982.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 10<\/p>\n<ol>\n<li>WIEWIORSKI, M. &#8211; MISKA, M. &#8211; KRETZSCHMAR, M. &#8211; STUDLER, U. &#8211; BIERI, O. &#8211; VALDERRABANO, V. Delayed gadolinium-enhanced MRI of cartilage of the ankle joint: Results after autologous matrix-induced chondrogenesis (AMIC)-aided reconstruction of osteochondral lesions of the talus. In <em>Clinical Radiology<\/em>, 2013, vol. 68, no. 10, p. 1031-1038.<\/li>\n<li>COBB, J.G. &#8211; KAN, J.H. &#8211; GORE, J.C. T-1 mapping of pediatric epiphyseal and articular cartilage in the knee. In <em>Journal of Magnetic Resonance Imaging<\/em>, 2013, vol. 38, no. 2, p. 299-305.<\/li>\n<li>BEKKERS, J.E.J. &#8211; BARTELS, L.W. &#8211; BENINK, R.J. &#8211; TSUCHIDA, A.I. &#8211; VINCKEN, K.L. &#8211; DHERT, W.J.A. &#8211; CREEMERS, L.B. &#8211; SARIS, D.B.F. Delayed gadolinium enhanced MRI of cartilage (dGEMRIC) can be effectively applied for longitudinal cohort evaluation of articular cartilage regeneration. In <em>Osteoarthritis and Cartilage<\/em>, 2013, vol. 21, no. 7, p. 943-949.<\/li>\n<li>ZILKENS, C. &#8211; MIESE, F. &#8211; KRAUSPE, R. &#8211; BITTERSOHL, B. Symptomatic femoroacetabular impingement: Does the offset decrease correlate with cartilage damage? A pilot study. In <em>Clinical Orthopaedics and Related Research<\/em>, 2013, vol. 471, no. 7, p. 2173-2182.<\/li>\n<li>BEKKERS, J.E.J. &#8211; BARTELS, L.W. &#8211; VINCKEN, K.L. &#8211; DHERT, W.J.A. &#8211; CREEMERS, L.B. &#8211; SARIS, D.B.F. Articular cartilage evaluation after TruFit plug implantation analyzed by delayed gadolinium-enhanced MRI of cartilage (dGEMRIC). In <em>American Journal of Sports Medicine, <\/em>2013, vol. 41, no. 6, p. 1290-1295.<\/li>\n<li>BITTERSOHL, B. &#8211; MIESE, F.R. &#8211; DEKKERS, C. &#8211; SENYURT, H. &#8211; KIRCHER, J. &#8211; WITTSACK, H.-J. &#8211; ANTOCH, G. &#8211; KRAUSPE, R. &#8211; ZILKENS, C. T2* mapping and delayed gadolinium-enhanced magnetic resonance imaging in cartilage (dGEMRIC) of glenohumeral cartilage in asymptomatic volunteers at 3 T. In <em>European Radiology<\/em>, 2013, vol. 23, no. 5, p. 1367-1374.<\/li>\n<li>WALLER, B. &#8211; MUNUKKA, M. &#8211; MULTANEN, J. &#8211; RANTALAINEN, T. &#8211; POYHONEN, T. &#8211; NIEMINEN, M.T. &#8211; KIVIRANTA, I. &#8211; KAUTIAINEN, H. &#8211; SELANNE, H. &#8211; DEKKER, J. &#8211; SIPILA, S. &#8211; KUJALA, U.M. &#8211; HAKKINEN, A. &#8211; HEINONEN, A. Effects of a progressive aquatic resistance exercise program on the biochemical composition and morphology of cartilage in women with mild knee osteoarthritis: protocol for a randomised controlled trial. In <em>BMC Musculoskeletal Disorders<\/em>, 2013, vol. 14.<\/li>\n<li>ZILKENS, C. &#8211; MIESE, F. &#8211; HERTEN, M. &#8211; KURZIDEM, S. &#8211; JAEGER, M. &#8211; KOENIG, D. &#8211; ANTOCH, G. &#8211; KRAUSPE, R. &#8211; BITTERSOHL, B. Validity of gradient-echo three-dimensional delayed gadolinium-enhanced magnetic resonance imaging of hip joint cartilage: A histologically controlled study. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 2, p. E81-E86.<\/li>\n<li>VAN TIEL, J. &#8211; BRON, E.E. &#8211; TIDERIUS, C.J. &#8211; BOS, P.K. &#8211; REIJMAN, M. &#8211; KLEIN, S. &#8211; VERHAAR, J.A.N. &#8211; KRESTIN, G.P. &#8211; WEINANS, H. &#8211; KOTEK, G. &#8211; OEI, E.H.G. Reproducibility of 3D delayed gadolinium enhanced MRI of cartilage (dGEMRIC) of the knee at 3.0 T in patients with early stage osteoarthritis. In <em>European Radiology<\/em>, 2013, vol. 23, no. 2, p. 496-504.<\/li>\n<li>NAGANAWA, S. &#8211; YAMAZAKI, M. &#8211; KAWAI, H. &#8211; BOKURA, K. &#8211; SONE, M. &#8211; NAKASHIMA, T. Estimation of peri lymph enhancement after intratympanic administration of Gd-DTPA by fast T-1-mapping with a dual flip angle 3D spoiled gradient echo sequence. In <em>Magnetic Resonance in Medical Sciences<\/em>, 2013, vol. 12, no. 3, p. 223-228.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TRATTNIG, S. &#8211; MAMISCH, T.C. &#8211; WELSCH, G.H. &#8211; GLASER, Curt &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; GEBETSROITHER, S. &#8211; STASTNY, O. &#8211; HORGER, W. &#8211; MILLINGTON, S. &#8211; MARLOVITS, S. Quantitative T2 mapping of matrix-associated autologous, chondrocyte transplantation at 3 Tesla. In <em>Investigative Radiology<\/em>, 2007, vol. 42, no. 6, p. 442-448.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>STANISH, W.D. &#8211; MCCORMACK, R. &#8211; FORRIOL, F. &#8211; MOHTADI, N. &#8211; PELET, S. &#8211; DESNOYERS, J. &#8211; RESTREPO, A. &#8211; SHIVE, M.S. Novel scaffold-based BST-CarGel treatment results in superior cartilage repair compared with microfracture in a randomized controlled trial. In <em>Journal of Bone and Joint Surgery-American Volume<\/em>, 2013, vol. 95A, no. 18, p. 1640-1650.<\/li>\n<li>ZELLNER, J. &#8211; ANGELE, P. &#8211; ZEMAN, F. &#8211; KUJAT, R. &#8211; NERLICH, M. Is the transplant quality at the time of surgery adequate for matrix-guided autologous cartilage transplantation? A pilot study. In <em>Clinical Orthopaedics and Related Research<\/em>, 2013, vol. 471, no. 9, p. 2852-2861.<\/li>\n<li>OROZCO, L. &#8211; MUNAR, A. &#8211; SOLER, R. &#8211; ALBERCA, M. &#8211; SOLER, F. &#8211; HUGUET, M. &#8211; SENTIS, J. &#8211; SANCHEZ, A. &#8211; GARCIA-SANCHO, J. Treatment of knee osteoarthritis with autologous mesenchymal stem cells: A pilot study. In <em>Transplantation<\/em>, 2013, vol. 95, no. 12, p. 1535-1541.<\/li>\n<li>ASHTON, E. &#8211; RIEK, J. Advanced MR techniques in multicenter clinical trials. In <em>Journal of Magnetic Resonance Imaging<\/em>, 2013, vol. 37, no. 4, p. 761-769.<\/li>\n<li>WALLER, B. &#8211; MUNUKKA, M. &#8211; MULTANEN, J. &#8211; RANTALAINEN, T. &#8211; POYHONEN, T. &#8211; NIEMINEN, M.T. &#8211; KIVIRANTA, I. &#8211; KAUTIAINEN, H. &#8211; SELANNE, H. &#8211; DEKKER, J. &#8211; SIPILA, S. &#8211; KUJALA, U.M. &#8211; HAKKINEN, A. &#8211; HEINONEN, A. Effects of a progressive aquatic resistance exercise program on the biochemical composition and morphology of cartilage in women with mild knee osteoarthritis: protocol for a randomised controlled trial. In <em>BMC Musculoskeletal Disorders<\/em>, 2013, vol. 14.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>DALLAUDI\u00c8RE, B. &#8211; DAUTRY, R. &#8211; PEROZZIELLO, A. &#8211; MANELFE, J. &#8211; LORIAUT, P. &#8211; LARBI, A. &#8211; PARIS, G. &#8211; SILVESTRE, A. &#8211; KOCH, P. &#8211; BOYER, P. &#8211; SCHOUMAN-CLAEYS, E. &#8211; BOUSSON, V. &#8211; LAREDO, J.-D. MRI T2 mapping sequence concordance with CT-arthrography for knee cartilaginous lesions in traumatic and degenerative lesions. In <em>Journal de Traumatologie du Sport<\/em>, 2013, vol. 30, no. 3, p. 146-153.<\/li>\n<li>TAO, H.-Y. &#8211; WANG, Z. &#8211; LI, H. &#8211; CHEN, S. &#8211; FENG, X.-Y. &#8211; HUA, Y.-H. &#8211; CHEN, Z.-Q. Histological and MR quantitative analysis of repaired tissue following microfracture treatment for knee joint osteochondritis dissecans in rabbit models. In <em>Chinese Journal of Radiology<\/em>, 2013, vol. 47, no. 3, p. 255-260.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TRATTNIG, S. &#8211; MAMISCH, T.C. &#8211; PINKER, K. &#8211; DOMAYER, S. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; MARLOVITS, S. &#8211; KUTSCHA-LISSBERG, F. &#8211; WELSCH, G.H. Differentiating normal hyaline cartilage from post-surgical repair tissue using fast gradient echo imaging in delayed gadolinium-enhanced MRI (dGEMRIC) at 3 Tesla. In <em>European Radiology<\/em>, 2008, vol. 18, no. 6, p. 1251-1259.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>WIEWIORSKI, M. &#8211; MISKA, M. &#8211; KRETZSCHMAR, M. &#8211; STUDLER, U. &#8211; BIERI, O. &#8211; VALDERRABANO, V. Delayed gadolinium-enhanced MRI of cartilage of the ankle joint: Results after autologous matrix-induced chondrogenesis (AMIC)-aided reconstruction of osteochondral lesions of the talus. In <em>Clinical Radiology<\/em>, 2013, vol. 68, no. 10, p. 1031-1038.<\/li>\n<li>APPEL, A.A. &#8211; ANASTASIO, M.A. &#8211; LARSON, J.C. &#8211; BREY, E.M. Imaging challenges in biomaterials and tissue engineering. In <em>Biomaterials<\/em>, 2013, vol. 34, no. 28, p. 6615-6630.<\/li>\n<li>BEKKERS, J.E.J. &#8211; BARTELS, L.W. &#8211; VINCKEN, K.L. &#8211; DHERT, W.J.A. &#8211; CREEMERS, L.B. &#8211; SARIS, D.B.F. Articular cartilage evaluation after TruFit plug implantation analyzed by delayed gadolinium-enhanced MRI of cartilage (dGEMRIC). In <em>American Journal of Sports Medicine<\/em>, 2013, vol. 41, no. 6, p. 1290-1295.<\/li>\n<li>PALMER, A.J.R. &#8211; BROWN, C.P. &#8211; MCNALLY, E.G. &#8211; PRICE, A.J. &#8211; TRACEY, I. &#8211; JEZZARD, P. &#8211; CARR, A.J. &#8211; GLYN-JONES, S. Non-invasive imaging of cartilage in early osteo arthritis. In <em>Bone &amp; Joint Journal<\/em>, 2013, vol. 95B, no. 6, p. 738-746.<\/li>\n<li>WALLER, B. &#8211; MUNUKKA, M. &#8211; MULTANEN, J. &#8211; RANTALAINEN, T. &#8211; POYHONEN, T. &#8211; NIEMINEN, M.T. &#8211; KIVIRANTA, I. &#8211; KAUTIAINEN, H. &#8211; SELANNE, H. &#8211; DEKKER, J. &#8211; SIPILA, S. &#8211; KUJALA, U.M. &#8211; HAKKINEN, A. &#8211; HEINONEN, A. Effects of a progressive aquatic resistance exercise program on the biochemical composition and morphology of cartilage in women with mild knee osteoarthritis: protocol for a randomised controlled trial. In <em>BMC Musculoskeletal Disorders<\/em>, 2013, vol. 14.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TRATTNIG, S. &#8211; BURSTEIN, D. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; PINKER, K. &#8211; WELSCH, G.H. &#8211; MAMISCH, T.C. T1(Gd) gives comparable information as Delta T1 relaxation rate in dGEMRIC evaluation of cartilage repair tissue. In <em>Investigative Radiology<\/em>, 2009, vol. 44, no. 9, p. 598-602.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 6<\/p>\n<ol>\n<li>BEKKERS, J.E.J. &#8211; BARTELS, L.W. &#8211; BENINK, R.J. &#8211; TSUCHIDA, A.I. &#8211; VINCKEN, K.L. &#8211; DHERT, W.J.A. &#8211; CREEMERS, L.B. &#8211; SARIS, D.B.F. Delayed gadolinium enhanced MRI of cartilage (dGEMRIC) can be effectively applied for longitudinal cohort evaluation of articular cartilage regeneration. In <em>Osteoarthritis and Cartilage<\/em>, 2013, vol. 21, no. 7, p. 943-949.<\/li>\n<li>DURKAN, M.G. &#8211; SZUMOWSKI, J. &#8211; BROWN, D.S. &#8211; FOSS, E.W. &#8211; CRAWFORD, D.C. In vivo MRI of fresh stored osteochondral allograft transplantation with delayed gadolinium-enhanced MRI of cartilage: Protocol considerations and recommendations. In <em>Magnetic Resonance in Medicine<\/em>, 2013, vol. 69, no. 6, p. 1745-1753.<\/li>\n<li>BINKS, D.A. &#8211; HODGSON, R.J. &#8211; RIES, M.E. &#8211; FOSTER, R.J. &#8211; SMYE, S.W. &#8211; MCGONAGLE, D. &#8211; RADJENOVIC, A. Quantitative parametric MRI of articular cartilage: a review of progress and open challenges. In <em>British Journal of Radiology<\/em>, 2013, vol. 86, no. 1023.<\/li>\n<li>VAN TIEL, J. &#8211; BRON, E.E. &#8211; TIDERIUS, C.J. &#8211; BOS, P.K. &#8211; REIJMAN, M. &#8211; KLEIN, S. &#8211; VERHAAR, J.A.N. &#8211; KRESTIN, G.P. &#8211; WEINANS, H. &#8211; KOTEK, G. &#8211; OEI, E.H.G. Reproducibility of 3D delayed gadolinium enhanced MRI of cartilage (dGEMRIC) of the knee at 3.0 T in patients with early stage osteoarthritis. In <em>European Radiology<\/em>, 2013, vol. 23, no. 2, p. 496-504.<\/li>\n<li>BRIX, M.O. &#8211; CHIARI, C. Cartilage repair. In <em>Zeitschrift fur Orthopadie und Unfallchirurgie<\/em>, 2012, vol. 150, no. 4, p. e121-e142.<\/li>\n<li>VAN WILDER, P. Advanced therapy medicinal products and exemptions to the Regulation 1394\/2007: How confident can we be? An exploratory analysis. In <em>Frontiers in Pharmacology<\/em>, 2012, vol. 3, art. number 12.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TRATTNIG, S. &#8211; STELZENEDER, D. &#8211; GOED, S. &#8211; REISSEGGER, M. &#8211; MAMISCH, T.C. &#8211; PATERNOSTRO-SLUGA, T. &#8211; WEBER, M. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; WELSCH, G.H. Lumbar intervertebral disc abnormalities: comparison of quantitative T2 mapping with conventional MR at 3.0T. In <em>European Radiology<\/em>, 2010, vol. 20, p. 2715-2722.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>SUN, W. &#8211; ZHANG, K. &#8211; ZHAO, C. &#8211; DING, W. &#8211; YUAN, J. &#8211; SUN, Q. &#8211; SUN, X. &#8211; XIE, Y. &#8211; LI, H. &#8211; ZHAO, J. Quantitative T2 mapping to characterize the process of intervertebral disc degeneration in a rabbit model. In <em>BMC Musculoskeletal Disorders<\/em>, 2013, vol. 14.<\/li>\n<li>WU, N. &#8211; LIU, H. &#8211; CHEN, J. &#8211; ZHAO, L. &#8211; ZUO, W. &#8211; MING, Y. &#8211; LIU, S. &#8211; LIU, J. &#8211; SU, X. &#8211; GAO, B. &#8211; TANG, Z. &#8211; QIU, G. &#8211; MA, G. &#8211; WU, Z. Comparison of apparent diffusion coefficient and T2 relaxation time variation patterns in assessment of age and disc level related intervertebral disc changes. In <em>PLoS One<\/em>, 2013, vol. 8, no. 7.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>WEI, W.-J. &#8211; ZHOU, Z.-Y. &#8211; GUO, W.-B. &#8211; ZHU, P. &#8211; WU, Z.-Q. &#8211; ZHUANG, W.-Q. Magnetic resonance imaging of T2 mapping in rabbit lumbar intervertebral disc. In <em>Chinese Journal of Tissue Engineering Research<\/em>, 2013, vol. 17, no. 35, p. 6281-6286.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">TRATTNIG, S. &#8211; ZB\u00dd\u0147, \u0160. &#8211; SCHMITT, B. &#8211; FRIEDRICH, K. &#8211; <u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; BOGNER, W. Advanced MR methods at ultra-high field (7 Tesla) for clinical musculoskeletal applications. In <em>European Radiology<\/em>, 2012, vol. 22, p. 2338-2346.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>NIENDORF, T. &#8211; GRAESSL, A. &#8211; THALHAMMER, Ch. &#8211; DIERINGER, M.A. &#8211; KRAUS, O. &#8211; SANTORO, D. &#8211; FUCHS, K. &#8211; HEZEL, F. &#8211; WAICZIES, S. &#8211; ITTERMANN, B. &#8211; WINTER, L. Progress and promises of human cardiac magnetic resonance at ultrahigh fields: A physics perspective. In <em>Journal of Magnetic Resonance<\/em>, 2013, vol. 229, p. 208-222.<\/li>\n<li>PALMER, A.J.R. &#8211; BROWN, C.P. &#8211; MCNALLY, E.G. &#8211; PRICE, A.J. &#8211; TRACEY, I. &#8211; JEZZARD, P. &#8211; CARR, A.J. &#8211; GLYN-JONES, S. Non-invasive imaging of cartilage in early osteo arthritis. In <em>Bone &amp; Joint Journal<\/em>, 2013, vol. 95B, no. 6, p. 738-746.<\/li>\n<li>THEYSOHN, J.M. &#8211; KRAFF, O. &#8211; ORZADA, S. &#8211; THEYSOHN, N. &#8211; CLASSEN, T. &#8211; LANDGRAEBER, S. &#8211; LADD, M.E. &#8211; LAUENSTEIN, T.C. Bilateral hip imaging at 7 Tesla using a multi-channel transmit technology: Initial results presenting anatomical detail in healthy volunteers and pathological changes in patients with avascular necrosis of the femoral head. In <em>Skeletal Radiology<\/em>, 2013, vol. 42, no. 11, p. 1555-1563.<\/li>\n<\/ol>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>ZWANENBURG, J.J.M. &#8211; VAN DER KOLK, A.G. &#8211; LUIJTEN, P.R. Ultra-high-field MR imaging: Research tool or clinical need? In <em>PET Clinics<\/em>, 2013, vol. 8, no. 3, p. 311-328.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>TURZOV\u00c1, Marie<\/u> &#8211; <u>TY\u0160LER, Milan<\/u> &#8211; <u>KNEPPO, P.<\/u>. A model study of the sensitivity of body surface potential distribution to variations of electrode placement. In <em>Journal of Electrocardiology<\/em>, 1994, vol. 27, p. 255-262.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>KANIA, M. &#8211; RIX, H. &#8211; FERENIEC, M. &#8211; JANUSEK, D. &#8211; MANIEWSKI, R. The effect of precordial lead displacement on P-wave morphology in body surface potential mapping. In <em>40th Computing in Cardiology Conference<\/em>, 2013, art. no. 6713431, p. 531-534.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>VALKOVI\u010c, Ladislav<\/u> &#8211; WINDISCHBERGER, C. Method for geometric distortion correction in fMRI based on three echo planar phase images. In <em>Measurement Science Review<\/em>, 2010, vol. 10, no. 4, p. 116-119.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>ANDRIS, P. &#8211; FROLLO, I. NMR spectroscopic imaging method for static magnetic field mapping. In <em>Applied Magnetic Resonance<\/em>, 2013, vol. 44, no. 5, p. 637-647.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>VALKOVI\u010c, Ladislav<\/u> &#8211; CHMEL\u00cdK, M. &#8211; KUKUROVA, I.J. &#8211; KR\u0160\u0160\u00c1K, M. &#8211; GRUBER, S. &#8211; <u>FROLLO, Ivan<\/u> &#8211; TRATTNIG, S. &#8211; BOGNER, W. Time-resolved phosphorous magnetization transfer of the human calf muscle at 3 T and 7 T: A feasibility study. In <em>European Journal of Radiology<\/em>, 2013, vol. 82, no. 5, p. 745-751.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>PARASOGLOU, P. &#8211; XIA, D. &#8211; CHANG, G. &#8211; CONVIT, A. &#8211; REGATTE, R.R. Three-dimensional mapping of the creatine kinase enzyme reaction rate in muscles of the lower leg. In <em>NMR in Biomedicine<\/em>, 2013, vol. 26, no. 9, p. 1142-1151.<\/li>\n<li>PARASOGLOU, P. &#8211; XIA, D. &#8211; CHANG, G. &#8211; REGATTE, R.R. 3D-mapping of phosphocreatine concentration in the human calf muscle at 7 T: Comparison to 3 T. In <em>Magnetic Resonance in Medicine<\/em>, 2013, vol. 70, no. 6, p. 1619-1625.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">VAN\u010cO, P. &#8211; <u>FARKA\u0160, Igor<\/u>. Experimental comparison of recursive self-organizing maps for processing tree-structured data. In <em>Neurocomputing<\/em>, 2010, vol. 73, no. 7-9, p. 1362-1375.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 3<\/p>\n<ol>\n<li>BACCIU, D. &#8211; MICHELI, A. &#8211; SPERDUTI, A. Compositional generative mapping for tree-structured data-Part II: Topographic projection model. In <em>IEEE Transactions on Neural Networks and Learning Systems<\/em>, 2013, vol. 24, no. 2, p. 231-247.<\/li>\n<li>FERLES, Ch. &#8211; STAFYLOPATIS, A. Self-organizing hidden Markov model map (SOHMMM). In <em>Neural Networks<\/em>, 2013, vol. 48, p. 133-147.<\/li>\n<li>FERLES, Ch. &#8211; SIOLAS, G. &#8211; STAFYLOPATIS, A. Scaled self-organizing map &#8211; hidden Markov model architecture for biological sequence clustering. In <em>Applied Artificial Intelligence<\/em>, 2013, vol. 27, no. 6, p. 461-495.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>VOLAUFOV\u00c1, J\u00falia<\/u>. Statistical methods in biomedical research and measurement science. In <em>Measurement Science Review<\/em>, 2005, vol. 5, p. 1-10. ISSN 1335-8871.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 10<\/p>\n<ol>\n<li>KUBACEK, L. Two stage regression model with constraints; admissible second stage parameter estimation. In <em>Mathematica Slovaca<\/em>, 2013, vol. 63, no. 3, p. 611-620.<\/li>\n<li>KUBACEK, L. Seemingly unrelated regression models. In <em>Applications of Mathematics<\/em>, 2013, vol. 58, no. 1, p. 111-123.<\/li>\n<li>KUBACEK, L. Variance components and an additional experiment. In <em>Applications of Mathematics<\/em>, 2012, vol. 57, no. 4, p. 391-405.<\/li>\n<li>KUBACEK, L. Elimination of the type B uncertainty. In <em>Mathematica Slovaca<\/em>, 2012, vol. 62, no. 4, p. 765-774.<\/li>\n<li>KUBACEK, L. A note on reduction of the number of parameters in linear statistical models. In <em>Mathematica Slovaca<\/em>, 2012, vol. 62, no. 1, p. 143-155.<\/li>\n<li>WITKOVSKY, V. Estimation, testing, and prediction regions of the fixed and random effects by solving the Henderson&#8217;s mixed model equations invited paper. In <em>Measurement Science Review<\/em>, 2012, vol. 12, no. 6, p. 234-248.<\/li>\n<li>FISEROVA, E. &#8211; KUBACEK, L. Decomposition of multivariate statistical models. In <em>PROBASTAT &#8217;11: Sixth International Conference on Probability and Statistics: Dedicated to Professor Lubomir Kubacek in Recognition of His Eightieth Birthday<\/em>, 2012, vol. 51, p. 33-43.<\/li>\n<li>PAZMAN, A. Optimality criteria for design in nonlinear models with constraints. In <em>PROBASTAT &#8217;11: Sixth International Conference on Probability and Statistics: Dedicated to Professor Lubomir Kubacek in Recognition of His Eightieth Birthday<\/em>, 2012, vol. 51, p. 141-149.<\/li>\n<li>FISEROVA, E. &#8211; HRON, K. Statistical inference in orthogonal regression for three-part compositional data using a linear model with type-II constraints. In <em>Communications in Statistics-Theory and Methods<\/em>, 2012, vol. 41, no. 13-14, SI, p. 2367-2385.<\/li>\n<li>HRON, K. &#8211; FILZMOSER, P. &#8211; THOMPSON, K. Linear regression with compositional explanatory variables. In <em>Journal of Applied Statistics<\/em>, 2012, vol. 39, no. 5, p. 1115-1128.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">VR\u0160ANSK\u00dd, P. &#8211; CHORV\u00c1T, D. &#8211; FRITZSCHE, I. &#8211; <u>HAIN, Miroslav<\/u> &#8211; <u>\u0160EV\u010c\u00cdK, Robert<\/u>. Light-mimicking cockroaches indicate Tertiary origin of recent terrestrial luminescence. In <em>Naturwissenschaften (The Science of Nature)<\/em>, 2012, vol. 99, no. 9, p. 739-749.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 4<\/p>\n<ol>\n<li>WEI, D. &#8211; REN, D. Completely preserved cockroaches of the family Mesoblattinidae from the Upper Jurassic-Lower Cretaceous Yixian Formation (Liaoning Province, NE China). In <em>Geologica Carpathica<\/em>, 2013, vol. 64, no. 4, p. 291-304.<\/li>\n<li>MERRITT, D.J. Standards of evidence for bioluminescence in cockroaches. In <em>Naturwissenschaften<\/em>, 2013, vol. 100, no. 7, p. 697-698.<\/li>\n<li>VIDLICKA, L. New species of Macrophyllodromia (Blattaria, Blattellidae) from Ecuador and a key to males of the genus. In <em>Zootaxa<\/em>, 2013, vol. 3635, no. 2, p. 185-193.<\/li>\n<li>KLOWDEN, M.J. Communication systems. In <em>Physiological Systems in Insects, 3rd Edition<\/em>. 2013, p. 603-647.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WEIS, J\u00e1n<\/u> &#8211; ERICSSON, A. &#8211; ASTR\u00d6M, G. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; HEMMINGSSON, A. High-resolution spectroscopic imaging of the human skin. In <em>Magnetic Resonance Imaging<\/em>, 2001, vol. 19, no. 2, p. 275-278.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>NAKAYAMA-TAKEDA, R. &#8211; SAKAKIBARA, S. &#8211; KUROKAWA, M. &#8211; HASHIKAWA, K. &#8211; TERASHI, H. Comparison of malignant skin tumor thickness and relative depth of invasion estimates from preoperative MR-microscopy and pathological evaluation. In <em>Dermatologic Surgery<\/em>, 2013, vol. 39, no. 12, p. 1767-1773.<\/li>\n<li>CALZOLARI, L. &#8211; KASTLER, A. &#8211; MAC-MARY, S. &#8211; HUMBERT, P. &#8211; KASTLER, B. &#8211; AUBRY, S. 3T-MRI analysis of epidermis and dermis moisturizing using the T2-mapping sequence. In <em>Skin Research and Technology<\/em>, 2013, vol. 19, no. 2, p. 152-154.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WEIS, J\u00e1n<\/u> &#8211; <u>BUDINSK\u00dd, \u013dubo\u0161<\/u> &#8211; <u>KR\u00cd\u017dIK, Miroslav<\/u>. Gradient amplifier imperfection in NMR imaging. In <em>Magnetic Resonance Imaging<\/em>, 1992, vol. 10, p. 461-464.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>DRAGONU, I. &#8211; LANGE, T. &#8211; BAXAN, N. &#8211; SNYDER, J. &#8211; HENNIG, J. &#8211; ZAITSEV, M. Accelerated point spread function mapping using signal modeling for accurate echo-planar imaging geometric distortion correction. In <em>Magnetic Resonance in Medicine,<\/em> 2013, vol. 69, no. 6, p. 1650-1656.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">WELSCH, G.H. &#8211; TRATTNIG, S. &#8211; SCHEFFLER, K. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; QUIRBACH, S. &#8211; MARLOVITS, S. &#8211; DOMAYER, S. &#8211; BIERI, O. &#8211; MAMISCH, T.C. Magnetization transfer contrast and T2 mapping in the evaluation of cartilage repair tissue with 3T MRI. In <em>Journal of Magnetic Resonance Imaging<\/em>, 2008, vol. 28, p. 979-986.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>KOTECHA, M. &#8211; KLATT, D. &#8211; MAGIN, R.L. Monitoring cartilage tissue engineering using magnetic resonance spectroscopy, imaging, and elastography. In <em>Tissue Engineering Part B-Reviews<\/em>, 2013, vol. 19, no. 6, p. 470-484.<\/li>\n<li>ELLERMANN, J. &#8211; LING, W. &#8211; NISSI, M.J. &#8211; ARENDT, E. &#8211; CARLSON, C.S. &#8211; GARWOOD, M. &#8211; MICHAELI, S. &#8211; MANGIA, S. MRI rotating frame relaxation measurements for articular cartilage assessment. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 9, p. 1537-1543.<\/li>\n<li>BAUM, T. &#8211; JOSEPH, G.B. &#8211; KARAMPINOS, D.C. &#8211; JUNGMANN, P.M. &#8211; LINK, T.M. &#8211; BAUER, J.S. Cartilage and meniscal T2 relaxation time as non-invasive biomarker for knee osteoarthritis and cartilage repair procedures. In <em>Osteoarthritis and Cartilage<\/em>, 2013, vol. 21, no. 10, p. 1474-1484.<\/li>\n<li>SCHICK, F. Contrast in static images in clinical magnetic resonance imaging. In <em>Radiologe<\/em>, 2013, vol. 53, no. 8, p. 709-721.<\/li>\n<li>ITO, K. &#8211; HAYASHIDA, M. &#8211; IZUMITANI, S. &#8211; FUJIMINE, T. &#8211; ONISHI, T. &#8211; GENBA, K. Magnetisation transfer MR imaging of the kidney: Evaluation at 3.0 T in association with renal function. In <em>European Radiology<\/em>, 2013, vol. 23, no. 8, p. 2315-2319.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">WIMMER, G. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u> &#8211; ALTMANN, G. Modification of probability distributions Applied to word length research. In <em>Journal of Quantitative Linguistics<\/em>, 1999, vol. 6, p. 257-268.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>KELIH, E. &#8211; MACUTEK, J. Number of canonical syllable types: A continuous bivariate model. In <em>Journal of Quantitative Linguistics<\/em>, 2013, vol. 20, no. 3, p. 241-251.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">WIMMER, G. &#8211; <u>WITKOVSK\u00dd, Viktor<\/u> &#8211; DUBY, T. Proper rounding of the measurement results under normality assumptions. In <em>Measurement Science and Technology<\/em>, 2000, vol. 11, p. 1659-1665.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 2<\/p>\n<ol>\n<li>ANDRIS, P. &#8211; FROLLO, I. Asymmetric spin echo sequence and requirements on static magnetic field of NMR scanner. In <em>Measurement<\/em>, 2013, vol. 46, no. 4, p. 1530-1534.<\/li>\n<li>ANDRIS, P. &#8211; FROLLO, I. NMR spectroscopic imaging method for static magnetic field mapping. In <em>Applied Magnetic Resonance<\/em>, 2013, vol. 44, no. 5, p. 637-647.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WITKOVSK\u00dd, Viktor<\/u>. Computing the distribution of a linear combination of inverted gamma variables. In <em>Kybernetika<\/em>, 2001, vol. 37, no. 1, p. 79-90.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>MIRAHMADI, M. &#8211; AL-DWEIK, A. &#8211; SHAMI, A. BER reduction of OFDM based broadband communication systems over multipath channels with impulsive noise. In <em>IEEE Transactions on Communications<\/em>, 2013, vol. 61, no. 11, p. 4602-4615.<\/li>\n<\/ol>\n<p>SCOPUS citations: 2<\/p>\n<ol>\n<li>KIM, S.M. &#8211; JUNG, B.C. &#8211; SUNG, D.K. On the link adaptation and user scheduling with HARQ in the presence of inter-cell interference. In <em>IEEE International Conference on Communications<\/em>, 2013, art. no. 6655610, p. 6261-6265.<\/li>\n<li>TERELIUS, H. &#8211; VARAGNOLO, D. &#8211; BAQUERO, C. &#8211; JOHANSSON, K.H. Fast distributed estimation of empirical mass functions over anonymous networks. In <em>IEEE Conference on Decision and Control<\/em>, 2013, art. no. 6760962, p. 6771-6777.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WITKOVSK\u00dd, Viktor<\/u>. Exact distribution of positive linear combinations of inverted chi-square random variables with odd degrees of freedom. In <em>Statistics &amp; Probability Letters<\/em>, 2002, vol. 56, p. 45-50.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>LEONENKO, N. &#8211; SAKHNO, L. &#8211; \u0160UVAK, N. Parameter estimation for reciprocal gamma Ornstein-Uhlenbeck type processes. In <em>Theory of Probability and Mathematical Statistics<\/em>, 2013, vol. 86, p. 137-154.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WITKOVSK\u00dd, Viktor<\/u> &#8211; WIMMER, G. On statistical models for consensus values. In <em>Measurement Science Review<\/em>, 2001, vol. 1, p. 33-36.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>NOUR, S. &#8211; INN, K.G.W. &#8211; FILLIBEN, J. &#8211; VAN DER GAAST, H. &#8211; MEN, L.C. &#8211; CALMET, D. &#8211; ALTZITZOGLOU, T. &#8211; POVINEC, P. &#8211; TAKATA, Y. &#8211; WISDOM, M. &#8211; NAKAMURA, K. &#8211; VESTERBACKA, P. &#8211; HUANG, C.C. &#8211; VAKULOVSKY, S.M. Characterization of the NIST shellfish Standard Reference Material 4358. In <em>Journal of Radioanalytical and Nuclear Chemistry, <\/em>2013, vol. 296, no. 1, p. 301-307.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WITKOVSK\u00dd, Viktor<\/u> &#8211; WIMMER, G. Interval estimation of the mean of a normal distribution based on quantized observations. In <em>Mathematica Slovaca<\/em>, 2009, vol. 59, no. 5, p. 627-645.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>HANNIG, J. Generalized fiducial inference via discretization. In <em>Statistica Sinica<\/em>, 2013, vol. 23, no. 2, p. 489-514.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WITKOVSK\u00dd, Viktor<\/u>. TDIST algorithm. In <em>MathWorks \/ Matlab Central<\/em>, 2003, http:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/4199-tdist.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>MOSZCZYNSKI, L. &#8211; BIELSKI, T. Development of analytical method for calculation the expanded uncertainty in convolution of rectangular and Gaussian distribution. In <em>Measurement<\/em>, 2013, vol. 46, no. 6, p. 1896-1903.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>WITKOVSK\u00dd, Viktor<\/u>. PoissRatioCdf. In <em>MathWorks \/ Matlab Central<\/em>, 2009, http:\/\/www.mathworks.com\/matlabcentral\/fileexchange\/25843-poissratiocdf.<\/span><\/li>\n<\/ul>\n<p>SCOPUS citations: 1<\/p>\n<ol>\n<li>LUDLOW, J. &#8211; WILLIAMSON, T.D. Statistical tolerance intervals: A better approach to in-line inspection performance assessment. In <em>NACE &#8211; International Corrosion Conference Series<\/em>, 2012, vol. 3, p. 2423-2437.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">ZA\u0164KO, B. &#8211; DUBECK\u00dd, F. &#8211; <u>P\u0158IBIL, Ji\u0159\u00ed<\/u> &#8211; BOH\u00c1\u010cEK, P. &#8211; <u>FROLLO, Ivan<\/u> &#8211; \u0160\u010cEPKO, P. &#8211; MUDRO\u0147, J. &#8211; GRYBO\u015a, P. &#8211; NE\u010cAS, V. On the development of portable X-ray CT mini-system using semi-insulating GaAs radiation imaging detectors. In <em>Nuclear Instruments and Methods in Physics Research A<\/em>, 2009, vol. 607, p. 67-70.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>MOULEESWARAN, D. &#8211; KOYAMA, T. &#8211; TANAKA, A. &#8211; HAYAKAWA, Y. Selective epitaxial growth of GaAs by current controlled liquid phase epitaxy. In <em>Journal of Crystal Growth<\/em>, 2013, vol. 362, p. 238-242.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">ZBYN, S. &#8211; STELZENEDER, D. &#8211; WELSCH, G.H. &#8211; NEGRIN, L.L. &#8211; <u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; DOROTKA, R. &#8211; TRATTNIG, S. Sodium (23Na) MR imaging at 7T for the evaluation of repair tissue quality in patients after two cartilage repair procedures. In <em>Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM 2011) : 19th Annual Meeting &amp; Exhibition<\/em>. &#8211; Berkeley, CA, USA : ISMRM, 2011, p. 3200.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>HANI, A.F.M. &#8211; KUMAR, D. &#8211; MALIK, A.S. &#8211; RAZAK, R. Physiological assessment of in vivo human knee articular cartilage using sodium MR imaging at 1.5 T. In <em>Magnetic Resonance Imaging<\/em>, 2013, vol. 31, no. 7, p. 1059-1067.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\">ZB\u00dd\u0147, \u0160. &#8211; STELZENEDER, D. &#8211; WELSCH, G.H. &#8211; NEGRIN, L.L. &#8211; <u>JUR\u00c1\u0160, Vladim\u00edr<\/u> &#8211; MAYERHOEFER, M.E. &#8211; <u>SZOMOL\u00c1NYI, Pavol<\/u> &#8211; BOGNER, W. &#8211; DOMAYER, S. &#8211; WEBER, M. &#8211; TRATTNIG, S. Evaluation of native hyaline cartilage and repair tissue after two cartilage repair surgery techniques with 23Na MR imaging at 7 T: Initial experience. In <em>Osteoarthritis and Cartilage<\/em>, 2012, vol. 20, p. 837-845.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 5<\/p>\n<ol>\n<li>CHAN, D.D. &#8211; NEU, C.P. Probing articular cartilage damage and disease by quantitative magnetic resonance imaging. In <em>Journal of the Royal Society Interface<\/em>, 2013, vol. 10, no. 78.<\/li>\n<li>SALGADO, A.J. &#8211; OLIVEIRA, J.M. &#8211; MARTINS, A. &#8211; TEIXEIRA, F.G. &#8211; SILVA, N.A. &#8211; NEVES, N.M. &#8211; SOUSA, N. &#8211; REIS, R.L. Tissue engineering and regenerative medicine: Past, present, and future. In <em>Tissue Engineering of the Peripheral Nerve: Stem Cells and Regeneration Promoting Factors<\/em>, 2013, vol. 108, p. 1-33.<\/li>\n<li>FELDMAN, R.E. &#8211; STOBBE, R. &#8211; WATTS, A. &#8211; BEAULIEU, Ch. Sodium imaging of the human knee using soft inversion recovery fluid attenuation. In <em>Journal of Magnetic Resonance<\/em>, 2013, vol. 234, p. 197-206.<\/li>\n<li>BUCHBENDER, C. &#8211; SCHNEIDER, M. &#8211; OSTENDORF, B. Magnetic resonance tomography and hybrid imaging in rheumatology. In <em>Zeitschrift fur Rheumatologie<\/em>, 2013, vol. 72, no. 2, p. 137-144.<\/li>\n<li>KOTECHA, M. &#8211; RAVINDRAN, S. &#8211; SCHMID, T.M. &#8211; VAIDYANATHAN, A. &#8211; GEORGE, A. &#8211; MAGIN, R.L. Application of sodium triple-quantum coherence NMR spectroscopy for the study of growth dynamics in cartilage tissue engineering. In <em>NMR in Biomedicine<\/em>, 2013, vol. 26, no. 6, p. 709-717.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<ul>\n<li><span style=\"color: #993300\"><u>ZRUBEC, Vladim\u00edr<\/u> &#8211; <u>MA\u0147KA, J\u00e1n<\/u> &#8211; <u>\u0160KR\u00c1TEK, Martin<\/u>. Adjustable electronic phantom for volume magnetic susceptibility measurements. In <em>Journal of Physics: Conference Series<\/em>, 2008, vol. 97, art. no. 012126.<\/span><\/li>\n<\/ul>\n<p>WOS citations: 1<\/p>\n<ol>\n<li>PLATIL, A. &#8211; TOMEK, J. &#8211; PRIBULA, O. &#8211; JANOSEK, M. &#8211; FISCHER, J. &#8211; RIPKA, P. Magnetopneumography using optical position reference. In <em>Sensor Letters<\/em>, 2013, vol. 11, no. 1, SI, p. 69-73.<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>ACCARDO, A. &#8211; STROLKA, Igor &#8211; TOFFANIN, R. &#8211; VITTUR, F. Medical imaging analysis of the three dimensional (3D) architecture of trabecular bone: techniques and&#8230;<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[27],"tags":[],"class_list":["post-3366","post","type-post","status-publish","format-standard","hentry","category-citations"],"publishpress_future_action":{"enabled":false,"date":"2026-05-02 20:07:35","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"category","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/3366","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/comments?post=3366"}],"version-history":[{"count":9,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/3366\/revisions"}],"predecessor-version":[{"id":3375,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/posts\/3366\/revisions\/3375"}],"wp:attachment":[{"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/media?parent=3366"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/categories?post=3366"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.um.sav.sk\/en\/wp-json\/wp\/v2\/tags?post=3366"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}