Citácie 2012

  • AIDU, E.A.I. – TRUNOV, V.G. – TITOMIR, L.I. – TYŠLER, MilanTURZOVÁ, Marie – SZATHMÁRY, V. Electrocardiographic ST segment changes as an indicator for localization of injury potentials. A computer simulation study. In Kardiológia : oficiálny časopis Slovenskej kardiologickej spoločnosti a Slovenskej hypertenziologickej spoločnosti, 2006, vol. 15, no. 1, p. 21-24. .

Citácie z databázy SCOPUS: 1

  1. KASIK, V. – PENHAKER, M. – DUCIUC, E. – KORPAS, D. Influence of ionising radiation on intelligent electronic implantable devices. In IEEE 10th Jubilee International Symposium on Applied Machine Intelligence and Informatics, SAMI 2012, 2012, art. no. 6208986, p. 345-348.

 

  • ANDRIS, PeterFROLLO, Ivan. Optimized measurement of magnetic field maps using nuclear magnetic resonance (NMR). In Measurement Science and Technology, 2011, vol. 22, no. 4, art. no. 045501.

Citácie z databázy WOS: 1

  1. BARBE, K. – VAN MOER, W. – NAGELS, G. Fractional-order time series models for extracting the haemodynamic response from functional magnetic resonance imaging data. In IEEE Transactions on Biomedical Engineering, 2012, vol. 59, no. 8, p. 2264-2272.

 

  • APPRICH, S. – WELSCH, G.H. – MAMISCH, T.C. – SZOMOLÁNYI, Pavol – MAYERHOEFER, M.E. – PINKER, K. – TRATTNIG, S. Detection of degenerative cartilage disease: Comparison of high-resolution morphological MR and quantitative T2 mapping at 3.0 Tesla. In Osteoarthritis and Cartilage, 2010, vol. 18, no. 9, p. 1211-1217.

Citácie z databázy WOS: 2

  1. SCHUETZ, U.H.W. – SCHMIDT-TRUCKSAESS, A. – KNECHTLE, B. – MACHANN, J. – WIEDELBACH, H. – EHRHARDT, M. – FREUND, W. – GROENINGER, S. – BRUNNER, H. – SCHULZE, I. – BRAMBS, H.-J. – BILLICH, Ch. The Transeurope Footrace Project: Longitudinal data acquisition in a cluster randomized mobile MRI observational cohort study on 44 endurance runners at a 64-stage 4,486km transcontinental ultramarathon. In BMC Medicine, 2012, vol. 10.
  2. WUCHERER, K.L. – OBER, Ch.P. – CONZEMIUS, M.G. The use of delayed gadolinium enhanced magnetic resonance imaging of cartilage and T2 mapping to evaluate articular cartilage in the normal canine elbow. In Veterinary Radiology & Ultrasound, 2012, vol. 53, no. 1, p. 57-63.

 

  • ARENDACKÁ, Barbora. Generalized confidence intervals on the variance component in mixed linear models with two variance components. In Statistics, 2005, vol. 39, no. 4, p. 275-286.

Citácie z databázy WOS: 1

  1. AYUSO, M. – SANTOLINO, M. Forecasting the maximum compensation offer in the automobile BI claims negotiation process. In Group Decision and Negotiation, 2012, vol. 21, no. 5, p. 663-676.

 

  • ARENDACKÁ, Barbora. Fiducial generalized pivots for a variance component vs. an approximate confidence interval. In Measurement Science Review, 2007, vol. 7, no. 6, p. 55-63.

Citácie z databázy WOS: 1

  1. WITKOVSKY, V. Estimation, testing, and prediction regions of the fixed and random effects by solving the Henderson’s mixed model equations invited paper. In Measurement Science Review, 2012, vol. 12, no. 6, p. 234-248.

 

  • ARENDACKÁ, Barbora. A note on fiducial generalized pivots for ?^2_A in one-way heteroscedastic ANOVA with random effects. In Statistics, 2012, vol. 46, no. 4, p. 489-504.

Citácie z databázy WOS: 1

  1. WITKOVSKY, V. Estimation, testing, and prediction regions of the fixed and random effects by solving the Henderson’s mixed model equations invited paper. In Measurement Science Review, 2012, vol. 12, no. 6, p. 234-248.

 

  • ARENDACKÁ, Barbora. Approximate interval for the between-group variance under heteroscedasticity. In Journal of Statistical Computation and Simulation, 2012, vol. 82, no. 2, p. 209-218.

Citácie z databázy WOS: 1

  1. WITKOVSKY, V. Estimation, testing, and prediction regions of the fixed and random effects by solving the Henderson’s mixed model equations invited paper. In Measurement Science Review, 2012, vol. 12, no. 6, p. 234-248.

 

  • BAJLA, IvanMARUŠIAK, MilošŠRÁMEK, Miloš. Anisotropic filtering of MRI data based upon image gradient histogram. In Computer Analysis of Images and Patterns (CAIP ’93) : 5th International Conference. – Berlin : Springer Verlag, 1993, p. 90-97.

Citácie z databázy WOS: 1

  1. DECKER, C.M. – ZOLLNER, F.G. – KONSTANDIN, S. – SCHAD, L.R. Comparing anisotropic diffusion filters for the enhancement of sodium magnetic resonance images. In Magnetic Resonance Imaging, 2012, vol. 30, no. 8, p. 1192-1200.

 

  • BARTKOVJAK, Jozef. Approximation by rational functions. In Measurement Science Review, 2001, vol. 1, p. 63-65.

Citácie z databázy WOS: 1

  1. RANGAVAJHALA, S. – LIANG, C. – MAHADEVAN, S. – HOMBAL, V. Concurrent optimization of mesh refinement and design parameters in multidisciplinary design. In Journal of Aircraft, 2012, vol. 49, no. 6, p. 1786-1795.

Citácie z databázy SCOPUS: 2

  1. RANGAVAJHALA, S. – LIANG, C. – MAHADEVAN, S. – HOMBAL, V.K. Concurrent optimization of mesh refinement and design parameters in multidisciplinary design. In Collection of Technical Papers – AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 2012, art. no. AIAA 2012-1682.
  2. RANGAVAJHALA, S. – SURA, V.S. – HOMBAL, V.K. – MAHADEVAN, S. A new approach to estimate discretization error for multidisciplinary and multidirectional mesh refinement. In Collection of Technical Papers – AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, 2011, art. no. AIAA 2011-1926.

 

  • BARTL, JánBARÁNEK, Martin. Emissivity of aluminium and its importance for radiometric measurement. In Measurement Science Review, 2004, vol. 4, sec. 3, p. 31-36.

Citácie z databázy WOS: 2

  1. CAIAZZO, F. – ALFIERI, V. – CARDAROPOLI, F. – SERGI, V. Characterization of lap joints laser beam welding of thin AA 2024 sheets with Yb:YAG disk-laser. In Laser Sources and Applications, 2012, vol. 8433.
  2. CAIAZZO, F. – ALFIERI, V. – CARDAROPOLI, F. – SERGI, V. Bead characterization of disk-laser welding of thin AA 2024 sheets. In High Power Laser Materials Processing: Lasers, Beam Delivery, Diagnostics, and Applications, 2012, vol. 8239.

Citácie z databázy SCOPUS: 1

  1. KEEFE, P.D. Quantum mechanics and the second law of thermodynamics: An insight gleaned from magnetic hysteresis in the first order phase transition of an isolated mesoscopic-size type i superconductor. In Physica Scripta, 2012, vol. T151, art. no. 014029.

 

  • CAMBEL, V. – KARAPETROV, G. – ELIÁŠ, P. – HASENÖHRL, S. – KWOK, W.K. – KRAUSE, J. – MAŇKA, Ján. Approaching the pT range with a 2DEG InGaAs/InP Hall sensor at 77K. In Microelectronic Engineering, 2000, vol. 51-52, p. 333-342.

Iné citácie: 1

  1. LIPERT, K. Development of a micro-Hall magnetometer and studies of individual Fe – filled carbon nanotubes. PhD Thesis. Heidelberg University, Germany, 2011.

 

  • CIMERMANOVÁ, Katarína. Estimation of confidence intervals for the log-normal means and for the ratio and difference of log-normal means. In Measurement Science Review, 2007, vol. 7, no. 3, p. 31-34.

Citácie z databázy WOS: 1

  1. JIMENEZ, D.F. – HEUCH, P.A. – REVIE, C.W. – GETTINBY, G. Confidence in assessing the effectiveness of bath treatments for the control of sea lice on Norwegian salmon farms. In Aquaculture, 2012, vol. 344, p. 58-65.

 

  • BILLIK, Peter – ČAPLOVIČOVÁ, M. – ČAPLOVIČ, Ľ. Mechanochemical-molten salt synthesis of Na2Ti6O13 nanobelts. In Materials Research Bulletin, 2010, vol. 45, p. 621-627.

Citácie z databázy WOS: 2

  1. WANG, Y. – SUN, T. – YANG, D. – LIU, H. – ZHANG, H. – YAO, X. – ZHAO, H. Structure, reactivity, photoactivity and stability of Ti-O based materials: A theoretical comparison. In Physical Chemistry Chemical Physics, 2012, vol. 14, no. 7, p. 2333-2338.
  2. LI, S. – CHEN, X. – TIAN, D. – ZHAO, H. Synthesis and synergistic flocculation of Na2Ti3O7 nanoribbons. In Materials Research Bulletin, 2012, vol. 47, no. 11, p. 3770-3773.

 

  • BREZOVÁ, V. – BILLIK, Peter – VRECKOVÁ, Z. – PLESCH, G. Photoinduced formation of reactive oxygen species in suspensions of titania mechanochemically synthesized from TiCl4. In Journal of Molecular Catalysis A : Chemical, 2010, vol. 327, p. 101-109.

Citácie z databázy WOS: 1

  1. JING, J. – LI, W. – BOYD, A. – ZHANG, Y. – COLVIN, V.L. – YU, W.W. Photocatalytic degradation of quinoline in aqueous TiO2 suspension. In Journal of Hazardous Materials, 2012, vol. 237, p. 247-255.

 

  • CAPEK, Ignác. Dispersions based on noble metal nanoparticles-DNA conjugates. In Advances in Colloid and Interface Science, 2011, vol. 163, no. 2, p. 123-143.

Citácie z databázy WOS: 1

  1. HYMAN, P. Bacteriophages and nanostructured materials. In Advances in Applied Microbiology, 2012, vol. 78, p. 55-73.

 

  • ČAPLOVIČOVÁ, M. – BILLIK, Peter – ČAPLOVIČ, Ľ. – BREZOVÁ, V. – TURÁNI, T. – PLESCH, G. – FEJDI, P. On the true morphology of highly photoactive anatase TiO2 nanocrystals. In Applied Catalysis B: Environmental, 2012, vol. 117-118, p. 224-235.

Citácie z databázy WOS: 1

  1. MOHAPATRA, L. – PARIDA, K. – SATPATHY, M. Molybdate/Tungstate intercalated oxo-bridged Zn/Y LDH for solar light induced photodegradation of organic pollutants. In Journal of Physical Chemistry C, 2012, vol. 116, no. 24, p. 13063-13070.

 

  • DOMAYER, S. – WELSCH, G.H. – DOROTKA, R. – MAMISCH, T.C. – MARLOVITS, S. – SZOMOLÁNYI, Pavol – TRATTNIG, S. MRI monitoring of cartilage repairin the knee: A review. In Seminars in Musculoskeletal Radiology, 2008, vol. 12, no. 4, p. 302-317.

Citácie z databázy WOS: 8

  1. EBERT, J.R. – FALLON, M. – ZHENG, M.H. – WOOD, D.J. – ACKLAND, T.R. A Randomized trial comparing accelerated and traditional approaches to postoperative weightbearing rehabilitation after matrix-induced autologous chondrocyte implantation findings at 5 years. In American Journal of Sports Medicine, 2012, vol. 40, no. 7, p. 1527-1537.
  2. ERICKSON, I.E. – KESTLE, S.R. – ZELLARS, K.H. – DODGE, G.R. – BURDICK, J.A. – MAUCK, R.L. Improved cartilage repair via in vitro pre-maturation of MSC-seeded hyaluronic acid hydrogels. In Biomedical Materials, 2012, vol. 7, no. 2, SI.
  3. VON KEUDELLA, A. – ATZWANGER, J. – FORSTNER, R. – RESCH, H. – HOFFELNER, T. – MAYER, M. Radiological evaluation of cartilage after microfracture treatment: A long-term follow-up study. In European Journal of Radiology, 2012, vol. 81, no. 7, p. 1618-1624.
  4. TAKAZAWA, K. – ADACHI, N. – DEIE, M. – KAMEI, G. – UCHIO, Y. – IWASA, J. – KUMAHASHI, N. – TADENUMA, T. – KUWATA, S. – YASUDA, K. – TOHYAMA, H. – MINAMI, A. – MUNETA, T. – TAKAHASHI, S. – OCHI, M. Evaluation of magnetic resonance imaging and clinical outcome after tissue-engineered cartilage implantation: prospective 6-year follow-up study. In Journal of Orthopaedic Science, 2012, vol. 17, no. 4, p. 413-424.
  5. MARQUASS, B. – MAHN, T. – ENGEL, T. – GOSSNER, J. – THEOPOLD, J. D. – VON DERCKS, N. – RACYNSKI, C. – ROSE, T. – JOSTEN, C. – HEPP, P. Clinical and radiological mid-term results after autologous osteochondral transplantation under consideration of quality of life. In Zeitschrift fur Orthopadie und Unfallchirurgie, 2012, vol. 150, no. 4, p. 360-367.
  6. EBERT, J.R. – FALLON, M. – ACKLAND, T.R. – WOOD, D.J. – JANES, G.C. Arthroscopic matrix-induced autologous chondrocyte implantation: 2-year outcomes. In Arthroscopy-The Journal of Arthroscopic and Related Surgery, 2012, vol. 28, no. 7, p. 952.
  7. CELLAR, R. – SOKOL, D. – LACKO, M. – STOLFA, S. – GHARAIBEH, A. – VASKO, G. Magnetic resonance imaging in the diagnosis of intra-articular lesions of the knee. In Acta Chirurgiae Orthopaedicae et Traumatologiae Cechoslovaca, 2012, vol. 79, no. 3, p. 249-254.
  8. MOKTASSI, A. – POPKIN, Ch.A. – WHITE, L.M. – MURNAGHAN, M.L. Imaging of osteochondritis dissecans. In Orthopedic Clinics of North America, 2012, vol. 43, no. 2, p. 201.

 

  • DOMAYER, S. – WELSCH, G.H. – NEHRER, S. – CHIARI, C. – DOROTKA, R. – SZOMOLÁNYI, Pavol – MAMISCH, T.C. – YAYON, A. – TRATTNIG, S. T2 mapping and dGEMRIC after autologous chondrocyte implantation with a fibrin-based scaffold in the knee: Preliminary results. In European Journal of Radiology, 2010, vol. 73, p. 636-642.

Citácie z databázy WOS: 4

  1. SHIRAI, T. – KOBAYASHI, M. – NAKAMURA, S. – ARAI, R. – NISHITANI, K. – SATAKE, T. – DAHLBERG, L.E. – KUROKI, H. – NAKAGAWA, Y. – OKADA, T. – TOGASHI, K. – NAKAMURA, T. Longitudinal evaluation of cartilage after osteochondral autogenous transfer with delayed gadolinium-enhanced MRI of the cartilage (dGEMRIC). In Journal of Orthopaedic Research, 2012, vol. 30, no. 2, p. 221-225.
  2. WUCHERER, K.L. – OBER, Ch.P. – CONZEMIUS, M.G. The use of delayed gadolinium enhanced magnetic resonance imaging of cartilage and T2 mapping to evaluate articular cartilage in the normal canine elbow. In Veterinary Radiology & Ultrasound, 2012, vol. 53, no. 1, p. 57-63.
  3. RUTGERS, M. – BARTELS, L. W. – TSUCHIDA, A. I. – CASTELEIN, R. M. – DHERT, W. J. – VINCKEN, K. L. – VAN HEERWAARDEN, R. J. – SARIS, D. B. F. dGEMRIC as a tool for measuring changes in cartilage quality following high tibial osteotomy: A feasibility study. In Osteoarthritis and Cartilage, 2012, vol. 20, no. 10, p. 1134-1141.
  4. BRIX, M.O. – CHIARI, C. Cartilage repair [Knorpelregeneration]. In Zeitschrift fur Orthopadie und Unfallchirurgie, 2012, vol. 150, no. 4, p. 121-142.

Citácie z databázy SCOPUS: 2

  1. MINAS, T. Emerging technologies. In A Primer in Cartilage Repair and Joint Preservation of the Knee, 2011, p. 219-249.
  2. FOLDAGER, C.B. – GOMOLL, A.H. – LIND, M. – SPECTOR, M. Cell seeding densities in autologous chondrocyte implantation techniques for cartilage repair. In Cartilage, 2012, vol. 3, no. 2, p. 108-117.

 

  • ERICSSON, A. – WEIS, Ján – HEMMINGSSON, A. – WIKSTROM, M. – SPERBER, G.O. Measurements of magnetic-field variations in the human brain using a 3d-ft multiple gradient-echo technique. In Magnetic Resonance in Medicine, 1995, vol. 33, no. 2, p. 171-177.

Citácie z databázy WOS: 1

  1. WAGNER, M. – JURCOANE, A. – VOLZ, S. – MAGERKURTH, J. – ZANELLA, F.E. – NEUMANN-HAEFELIN, T. – DEICHMANN, R. – SINGER, O.C. – HATTINGEN, E. Age-related changes of cerebral autoregulation: New insights with quantitative T2′-mapping and pulsed arterial spin-labeling MR imaging. In American Journal of Neuroradiology, 2012, vol. 33, no. 11, p. 2081-2087.

 

  • FARKAŠOVÁ, T. – GURSKÁ, S. – WITKOVSKÝ, Viktor – GÁBELOVÁ, A. Significance of amino acid substitution variants of DNA repair genes in radiosusceptibility of cervical cancer patients; a pilot study. In Neoplasma, 2008, vol. 55, no. 4, p. 330-337.

Citácie z databázy WOS: 4

  1. BARNETT, G.C. – COLES, Ch.E. – ELLIOTT, R.M. – BAYNES, C. – LUCCARINI, C. – CONROY, D. – WILKINSON, J.S. – TYRER, J. – MISRA, V. – PLATTE, R. – GULLIFORD, S.L. – SYDES, M.R. – HALL, E. – BENTZEN, S.M. – DEARNALEY, D.P. – BURNET, N.G. – PHAROAH, P.D.P. – DUNNING, A.M. – WEST, C.M.L. Independent validation of genes and polymorphisms reported to be associated with radiation toxicity: a prospective analysis study. In Lancet Oncology, 2012, vol. 13, no. 1, p. 65-77.
  2. JENSEN, A. – LOHR, M. – ERIKSEN, L. – GRONBAEK, M. – DORRY, E. – LOFT, S. – MOLLER, P. Influence of the OGG1 Ser326Cys polymorphism on oxidatively damaged DNA and repair activity. In Free Radical Biology and Medicine, 2012, vol. 52, no. 1, p. 118-125.
  3. LI, Y. – LIU, F. – TAN, S.-Q. – WANG, Y. – LI, S.-W. X-ray repair cross-complementing group 1 (XRCC1) genetic polymorphisms and cervical cancer risk: A huge systematic review and meta-analysis. In PLoS One, 2012, vol. 7, no. 9.
  4. ILLUZZI, J. L. – WILSON, D. M., III. Base excision repair: Contribution to tumorigenesis and target in anticancer treatment paradigms. In Current Medicinal Chemistry, 2012, vol. 19, no. 23, p. 3922-3936.

Citácie z databázy SCOPUS: 1

  1. SHUAI, H.-L. – LUO, X. – YAN, R.-L. – LI, J. – CHEN, D.-L. XRCC1 polymorphisms are associated with cervical cancer risk and response to chemotherapy: A systematic review and meta-analysis. In Asian Pacific Journal of Cancer Prevention, 2012, vol. 13, no. 12, p. 6423-6427.

 

  • FRAGONAS, E. – MLYNÁRIK, V. – JELLÚŠ, Vladimír – MICALI, F. – PIRAS, A. – TOFFANIN, R. – RIZZO, R. – VITTUR, F. Correlation between biochemical composition and magnetic resonance appearance of articular cartilage. In Osteoarthritis and Cartilage, 1998, vol. 6, no. 1, p. 24-32.

Citácie z databázy WOS: 3

  1. AOKI, T. – WATANABE, A. – NITTA, N. – NUMANO, T. – FUKUSHI, M. – NIITSU, M. Correlation between apparent diffusion coefficient and viscoelasticity of articular cartilage in a porcine model. In Skeletal Radiology, 2012, vol. 41, no. 9, p. 1087-1092.
  2. NEWBOULD, R.D. – MILLER, S.R. – TOMS, L.D. – SWANN, P. – TIELBEEK, J.A. – GOLD, G.E. – STRACHAN, R.K. – TAYLOR, P.C. – MATTHEWS, P.M. – BROWN, A.P. T2* measurement of the knee articular cartilage in osteoarthritis at 3T. In Journal of Magnetic Resonance Imaging, 2012, vol. 35, no. 6, p. 1422-1429.
  3. CANUTO, H.C. – FISHBEIN, K.W. – HUANG, A. – DOTY, S.B. – HERBERT, R.A. – PECKHAM, J. – PLESHKO, N. – SPENCER, R.G. Characterization of skin abnormalities in a mouse model of osteogenesis imperfecta using high resolution magnetic resonance imaging and Fourier transform infrared imaging spectroscopy. In NMR in Biomedicine, 2012, vol. 25, no. 1, p. 169-176.

 

  • FROLLO, Ivan. Parallel plane gradient system for NMR experiments. In Review of Scientific Instruments, 1989, vol. 60, no. 11, p. 3442-3446.

Citácie z databázy WOS: 1

  1. AWAN, S.A. – MCGINLEY, J.V.M. – DICKINSON, R.J. – ANGELI, S.I. – YOUNG, I.R. Design and development of a planar B0-coil for patient respiratory motion correction in magnetic resonance imaging. In Concepts in Magnetic Resonance Part B-Magnetic Resonance Engineering, 2012, vol. 41B, no. 4, p. 130-138.

 

  • FROLLO, IvanANDRIS, PeterPŘIBIL, JiříVOJTÍŠEK, LubomírDERMEK, TomášVALKOVIČ, Ladislav. Measurement and imaging of planar electromagnetic phantoms based on NMR imaging methods. In Measurement Science Review, 2010, vol. 10, no. 3, p. 97-101.

Citácie z databázy WOS: 2

  1. MIKULKA, J. – GESCHEIDTOVA, E. – BARTUSEK, K. Soft-tissues image processing: comparison of traditional segmentation methods with 2D active contour methods. In Measurement Science Review, 2012, vol. 12, no. 4, p. 153-161.
  2. MARCON, P. – BARTUSEK, K. – DOKOUPIL, Z. – GESCHEIDTOVA, E. Diffusion MRI: Mitigation of magnetic field inhomogeneities. In Measurement Science Review, 2012, vol. 12, no. 5, p. 205-212.

 

  • GÁBELOVÁ, A. – FARKAŠOVÁ, T. – GURSKÁ, S. – MACHÁČKOVÁ, Z. – LUKAČKO, P. – WITKOVSKÝ, Viktor. Radiosensitivity of peripheral blood lymphocytes from healthy donors and cervical cancer patients; the correspondence of in vitro data with the clinical outcome. In Neoplasma, 2008, vol. 55, no. 3, p. 182-191.

Citácie z databázy WOS: 2

  1. IVANOV, S. D. Biochemical markers predicting response to radiation- and radiochemo-therapy in cancer patients. In Biomeditsinskaya Khimiya, 2012, vol. 58, no. 6, p. 635-650.
  2. ISHIHARA, S. – IINUMA, H. – FUKUSHIMA, Y. – AKAHANE, T. – HORIUCHI, A. – SHIMADA, R. – SHIBUYA, H. – HAYAMA, T. – YAMADA, H. – NOZAWA, K. – MATSUDA, K. – WATANABE, T. Radiation-induced apoptosis of peripheral blood lymphocytes is correlated with histological regression of rectal cancer in response to preoperative chemoradiotherapy. In Annals of Surgical Oncology, 2012, vol. 19, no. 4, p. 1192-1198.

Citácie z databázy SCOPUS: 1

  1. PADJAS, A. – KEDZIERAWSKI, P. – FLOREK, A. – KUKOLOWICZ, P. – KUSZEWSKI, T. – GÓŹDZ, S. – LANKOFF, A. – WOJCIK, A. – LISOWSKA, H. Comparative analysis of three functional predictive assays in lymphocytes of patients with breast and gynaecological cancer treated by radiotherapy. In Journal of Contemporary Brachytherapy, 2012, vol. 4, no. 4, p. 219-226.

 

  • GÄBLER, S. – STAMPFL, J. – KOCH, T. – SEIDLER, S. – SCHÜLLER, G.C. – REDL, H. – JURÁŠ, Vladimír – TRATTNIG, S. – WEIDISCH, R. Determination of the viscoelastic properties of hydrogels based on polyethylene glycol diacrylate (PEG-DA) and human articular cartilage. In International Journal of Materials Engineering Innovation, 2009, vol. 1, no. 1, p. 3-20.

Citácie z databázy WOS: 1

  1. MALINAUSKAS, M. – BALTRIUKIENE, D. – KRANIAUSKAS, A. – DANILEVICIUS, P. – JARASIENE, R. – SIRMENIS, R. – ZUKAUSKAS, A. – BALCIUNAS, E. – PURLYS, V. – GADONAS, R. – BUKELSKIENE, V. – SIRVYDIS, V. – PISKARSKAS, A. In vitro and in vivo biocompatibility study on laser 3D microstructurable polymers. In Applied Physics A-Materials Science & Processing, 2012, vol. 108, no. 3, p. 751-759.

 

  • GRENDÁR, Marián – GRENDÁR, M. What is the question that MaxEnt answers? A probabilistic interpretation. In Bayesian Inference and Maximum Entropy Methods in Science and Engineering : 20th International Workshop. Melville : American Institute of Physics, 2001, p. 83-93.

Citácie z databázy WOS: 1

  1. NIVEN, R.K. Maximum-entropy weighting of multiple earth climate models. In Climate Dynamics, 2012, vol. 39, no. 3-4, p. 755-765.

 

  • GRENDÁR, Marián – JUDGE, G. Empty set problem of maximum empirical likelihood methods. In Electronic Journal of Statistics, 2009, vol. 3, p. 1542-1555.

Citácie z databázy WOS: 3

  1. LENG, CH. – TANG, CH.-Y. Penalized empirical likelihood and growing dimensional general estimating equations. In Biometrika, 2012, vol. 99, no. 3, p. 703-716.
  2. BERGSMA, W. – CROON, M. – VAN DER ARK, L.A. The empty set and zero likelihood problems in maximum empirical likelihood estimation. In Electronic Journal of Statistics, 2012, vol. 6, p. 2356-2361.
  3. XUE, Y. – LAZAR, N.A. Empirical likelihood-based hot deck imputation methods. In Journal of Nonparametric Statistics, 2012, vol. 24, no. 3, p. 629-646.

 

  • GRENDÁR, Marián – NIVEN, R.K. The Pólya information divergence. In Information Sciences, 2010, vol. 180, p. 4189-4194.

Citácie z databázy WOS: 1

  1. JUMARIE, G. Derivation of an amplitude of information in the setting of a new family of fractional entropies. In Information Sciences, 2012, vol. 216, p. 113-137.

 

  • GRENDÁR, Marián – GRENDÁR, M. On the probabilistic rationale of I-divergence and J-divergence minimization. In arXiv:math/0008037, 2000.

Citácie z databázy WOS: 1

  1. JUDGE, G.G. – MITTELHAMMER, R.C. Implications of the Cressie-Read family of additive divergences for information recovery. In Entropy, 2012, vol. 14, no. 12, p. 2427-2438.

 

  • GRITZNER, G. – EDER, M. – CIGÁŇ, AlexanderMAŇKA, Ján – PLESCH, G. – ZRUBEC, Vladimír. The effect of rare earth oxide substitution on the magnetic properties of Tl-based superconductors. In Physica C, 2002, vol. 366, p. 169-175. ISSN 0921-4534.

Iné citácie: 1

  1. SANGIORGI, A. – COSTA, A.L. – PINASCO, P. – SANSON, A. – BALLARIN, B. Production of yttria ceramics by gelcasting. In Journal of Materials Science and Engineering B, 2011, vol. 1, p. 641-648.

 

  • GRUWEL, M.L.H. – GHOSH, P.K. – LATTA, Peter – JAYAS, D.S. On the diffusion constant of water in wheat. In Journal of Agricultural and Food Chemistry, 2008, vol. 56, p. 59-62.

Citácie z databázy WOS: 1

  1. BORISJUK, L. – ROLLETSCHEK, H. – NEUBERGER, T. Surveying the plant’s world by magnetic resonance imaging. In Plant Journal, 2012, vol. 70, no. 1, p. 129-146.

 

  • GRUWEL, M.L.H. – LATTA, Peter – MATWIY, B. – SBOTO-FRANKENSTEIN, U. – GERVAI, P. – TOMANEK, B. Measurement of viscoelastic properties of condensed matter using magnetic resonance elastography. In Measurement Science Review, 2010, vol. 10, no. 5, p. 147-152.

Citácie z databázy SCOPUS: 1

  1. LINDA, Q.T.A. – PETROV, A. – HOUTEN, E.V. Developing an acoustic MRE breast actuator to facilitate MRE applications in breast cancer detection. In Proceedings of the 9th IASTED International Conference on Biomedical Engineering, BIOMED 2012, 2012, p. 67-72.

 

  • GRUWEL, M.L.H. – LATTA, Peter – TANASIEWICZ, M. – VOLOTOVSKYY, V. – ŠRÁMEK, M. – TOMANEK, B. MR imaging of teeth using a silent single point imaging technique. In Applied Physics A-Materials Science & Processing, 2007, vol. 88, no. 4, p. 763-767.

Citácie z databázy WOS: 2

  1. WEIGER, M. – PRUESSMANN, K.P. – BRACHER, A.-K. – KOEHLER, S. – LEHMANN, V. – WOLFRAM, U. – HENNEL, F. – RASCHE, V. High-resolution ZTE imaging of human teeth. In NMR in Biomedicine, 2012, vol. 25, no. 10, p. 1144-1151.
  2. CRIJNS, S. P. M. – BAKKER, C. J. G. – SEEVINCK, P. R. – DE LEEUW, H. – LAGENDIJK, J. J. W. – RAAYMAKERS, B. W. Towards inherently distortion-free MR images for image-guided radiotherapy on an MRI accelerator. In Physics in Medicine and Biology, 2012, vol. 57, no. 5, p. 1349-1358.

 

  • HAIN, MiroslavBARTL, JánJACKO, Vlado. Multispectral analysis of cultural heritage artefacts. In Measurement Science Review, 2003, vol. 3, p. 9-12.

Citácie z databázy WOS: 1

  1. LIANG, H. Advances in multispectral and hyperspectral imaging for archaeology and art conservation. In Applied Physics A-Materials Science & Processing, 2012, vol. 106, no. 2, p. 309-323.

Citácie z databázy SCOPUS: 1

  1. HOU, M. – LEI, Y. – LU, X. – ZHANG, X. – HU, Y. The extraction of manuscript information of mural based on hyper-spestroval data. In International Review on Computers and Software, 2012, vol. 7, no. 6, p. 3232-3237.

Iné citácie: 1

  1. MORGAN III, J.M. Digital image processing techniques demonstrating the anomalous nature of the radiocarbon dating sample area of the Shroud of Turin. In SCIENTIFIC RESEARCH AND ESSAYS. ISSN 1992-2248, 2012, vol. 7 no. 29, p. 2641-2655.

 

  • HAIN, Miroslav – NOSKO, M. – SIMANČÍK, F. – DVORÁK, T. – FLOREK, R. RTG mikrotomografia: princípy a možnosti jej využitia v oblasti charakterizácie kovových materiálov. In Použitie moderných nedeštruktívnych meracích metód vo výskume nových materiálov v rámci centra excelentnosti CEKOMAT. Bratislava, Ústav merania SAV, 2011, s. 9-13.

Citácie z databázy WOS: 1

  1. STANEKOVA, H. – LAPIN, J. Creep damage assessment in intermetallic Ti-46Al-8Ta alloy using high-resolution computed tomography. In 21st International Conference on Metallurgy and Materials (METAL 2012). 2012, p. 1245-1251.

 

  • HAIN, Miroslav – NOSKO, M. – SIMANČÍK, F. – DVORÁK, T. – FLOREK, R. X-ray microtomography and its use for non-destructive characterisation of materials. In MEASUREMENT 2011 : Proceedings of the 8th International Conference on Measurement. Bratislava : Institute of Measurement Science SAS, 2011, p. 123-126.

Citácie z databázy WOS: 1

  1. KOVAROVA, K. – SEVCIK, R. – WEISHAUPTOVA, Z. Comparison of mercury porosimetry and X-ray microtomography for porosity study of sandstones. In Acta Geodynamica et Geomaterialia, 2012, vol. 9, no. 4, p. 541-549.

 

  • HRACHOVÁ, J. – BILLIK, Peter – FAJNOR, V. Influence of organic surfactants on structural stability of mechanochemically treated bentonite. In Journal of Thermal Analysis and Calorimetry, 2010, vol. 101, p. 161-168.

Citácie z databázy WOS: 2

  1. GALAMBOS, M. – DANO, M. – ROSSKOPFOVA, O. – SERSEN, F. – KUFCAKOVA, J. – ADAMCOVA, R. – RAJEC, P. Effect of gamma-irradiation on adsorption properties of Slovak bentonites. In Journal of Radioanalytical and Nuclear Chemistry, 2012, vol. 292, no. 2, p. 481-492.
  2. ZHU, J. – SHEN, W. – MA, Y. – MA, L. – ZHOU, Q. – YUAN, P. – LIU, D. – HE, H. The influence of alkyl chain length on surfactant distribution within organo-montmorillonites and their thermal stability. In Journal of Thermal Analysis and Calorimetry, 2012, vol. 109, no. 1, p. 301-309.

 

  • HUBKA, P. – ROSÍK, VladimírŽDIŇÁK, JaroslavTYŠLER, Milan – HULÍN, I. Independent component analysis of electrogastrographic signals. In Measurement Science Review, 2005, vol. 5, no. 2, p. 21-24.

Citácie z databázy WOS: 2

  1. ZAVALA-FERNANDEZ, H. – KANIA, M. – MANIEWSKI, R. – JANUSEK, D. Evaluation of blind source separation methods for noise reduction in BSPM recorded during exercise. In Computing in Cardiology (CINC), 2012, vol. 39, p. 593-596.
  2. WALI, M.K. – MURUGAPPAN, M. – AHMMAD, R.B. Mathematical implementation of hybrid fast fourier transform and discrete wavelet transform for developing graphical user interface using visual basic for signal processing applications. In Journal of Mechanics in Medicine and Biology, 2012, vol. 12, no. 5.

Citácie z databázy SCOPUS: 1

  1. CHANG, Y. – JIAO, W. Wholly ICA based estimation on DOA of spatio-temporal sources. In Advanced Materials Research, 2012, vol. 588-589, p. 739-746.

 

  • CHOLUJOVÁ, D. – JAKUBÍKOVÁ, J. – KUBEŠ, M. – ARENDACKÁ, Barbora – SAPÁK, M. – IHNATKO, R. – SEDLÁK, J. Comparative study of four fluorescent probes for evaluation of natural killer cell cytotoxicity assays. In Immunobiology, 2008, vol. 213, no. 8, p. 629 – 640.

Citácie z databázy WOS: 6

  1. JANG, Y.Y. – CHO, D. – KIM, S.K. – SHIN, D.J. – PARK, M.H. – LEE, J.J. – SHIN, M.G. – SHIN, J.H. – SUH, S.P. – RYANG, D.W. An improved flow cytometry-based natural killer cytotoxicity assay involving calcein AM staining of effector cells. In Annals of Clinical and Laboratory Science, 2012, vol. 42, no. 1, p. 42-49.
  2. RUTELLA, S. – IUDICONE, P. – BONANNO, G. – FIORAVANTI, D. – PROCOLI, A. – LAVORINO, C. – FODDAI, M.L. – LORUSSO, D. – MARTINELLI, E. – VACCA, M. – IPSEVICH, F. – NUTI, M. – SCAMBIA, G. – PIERELLI, L. Adoptive immunotherapy with cytokine-induced killer cells generated with a new good manufacturing practice-grade protocol. In Cytotherapy, 2012, vol. 14, no. 7, p. 841-850.
  3. LU, X.Z. – ZHU, A.S. – CAI, X.H. – JIA, Z.X. – HAN, W.M. – MA, L.D. – ZHOU, M. – QIAN, K.Q. – CEN, L. – CHEN, B.A. Role of NKG2D in cytokine-induced killer cells against multiple myeloma cells. In Cancer Biology & Therapy, 2012, vol. 13, no. 8, p. 623-629.
  4. NAGAI, Y. – TANAKA, Y. – KUROISHI, T. – SATO, R. – ENDO, Y. – SUGAWARA, S. Histamine reduces susceptibility to natural killer cells via down-regulation of NKG2D ligands on human monocytic leukaemia THP-1 cells. In Immunology, 2012, vol. 136, no. 1, p. 103-114.
  5. LIU, X. – WANG, Y.L. – SUN, Q. – YAN, J. – HUANG, J. – ZHU, S.G. – YU, J.X. Identification of microRNA transcriptome involved in human natural killer cell activation. In Immunology Letters, 2012, vol. 143, no. 2, p. 208-217.
  6. DENMAN, C.J. – SENYUKOV, V.V. – SOMANCHI, S.S. – PHATARPEKAR, P.V. – KOPP, L.M. – JOHNSON, J.L. – SINGH, H. – HURTON, L. – MAITI, S.N. – HULS, M.H. – CHAMPLIN, R.E. – COOPER, L.J.N. – LEE, D.A. Membrane-bound IL-21 promotes sustained ex vivo proliferation of human natural killer cells. In PLoS One, 2012, vol. 7, no. 1, art. no. e30264.

 

  • CHUDÝ, LuciusFARKAŠ, Igor. Regionálna analýza pomocou samoorganizujúcich sa máp. In Politická ekonomie, 2000, roč. XLVIII, č. 5, s. 685-697.

Citácie z databázy SCOPUS: 1

  1. MICHÁLEK, A. Some methods for measuring regional disparities [Vybrané metódy merania regiónalnych disparít]. In Geografický časopis, 2012, vol. 64, no. 3, p. 219-235.

 

  • JELLÚŠ, Vladimír – SHARP, J. – TOMANEK, B. – LATTA, Peter. An NMR technique for measurement of magnetic field gradient waveforms. In Journal of Magnetic Resonance, 2003, vol. 162, p. 189-197.

Citácie z databázy WOS: 1

  1. MARCON, P. – BARTUSEK, K. – DOKOUPIL, Z. – GESCHEIDTOVA, E. Diffusion MRI: Mitigation of magnetic field inhomogeneities. In Measurement Science Review, 2012, vol. 12, no. 5, p. 205-212.

 

  • JERGEL, M. – HANIC, František – ŠTRBÍK, V. – LIDAY, J. – PLESCH, G. – MELIŠEK, T. – KUBRANOVÁ, M. Thin BSCO films prepared by deposition from aerosol. In Superconductor Science and Technology, 1992, vol. 5, p. 663.

Citácie z databázy WOS: 1

  1. TURKOGLU, S. – AKSAN, M.A. Synthesis of BSCCO films on MgO (100) substrate by ultrasonic spray pyrolysis technique. In Journal of Superconductivity and Novel Magnetism, 2012, vol. 25, no. 6, p. 2087-2095.

 

  • JURÁŠ, VladimírSZOMOLÁNYI, PavolMAJDIŠOVÁ, Zuzana – TRATTNIG, S. MR-compatible compression device for in-vitro evaluation of biomechanical properties of cartilage. In Journal of Biomechanical Science and Engineering, 2008, vol. 3, no. 2, p. 200-208.

Citácie z databázy WOS: 1

  1. DAMION, R.A. – PAWASKAR, S.S. – RIES, M.E. – INGHAM, E. – WILLIAMS, S. – JIN, Z. – RADJENOVIC, A. Spin-lattice relaxation rates and water content of freeze-dried articular cartilage. In Osteoarthritis and Cartilage, 2012, vol. 20, no. 2, p. 184-190.

 

  • JURÁŠ, Vladimír – BITTŠANSKÝ, M. – MAJDIŠOVÁ, ZuzanaSZOMOLÁNYI, Pavol – SULZBACHER, I. – GÄBLER, S. – STAMPFL, J. – SCHÜLLER, G.C. – TRATTNIG, S. In vitro determination of biomechanical properties of human articular cartilage in osteoarthritis using multi-parametric MRI. In Journal of Magnetic Resonance, 2009, vol. 197, p. 40-47.

Citácie z databázy WOS: 2

  1. REITER, D.A. – IRRECHUKWU, O. – LIN, P.-Ch. – MOGHADAM, S. – VON THAER, S. – PLESHKO, N. – SPENCER, R.G. Improved MR-based characterization of engineered cartilage using multiexponential T-2 relaxation and multivariate analysis. In NMR in Biomedicine, 2012, vol. 25, no. 3, SI, p. 476-488.
  2. AOKI, T. – WATANABE, A. – NITTA, N. – NUMANO, T. – FUKUSHI, M. – NIITSU, M. Correlation between apparent diffusion coefficient and viscoelasticity of articular cartilage in a porcine model. In Skeletal Radiology, 2012, vol. 41, no. 9, p. 1087-1092.

 

  • JURÁŠ, VladimírSZOMOLÁNYI, Pavol – GÄBLER, S. – FROLLO, Ivan – TRATTNIG, S. The relationship between MR parameters and biomechanical quantities of loaded human articular cartilage in osteoarthritis: An in-vitro study. In Measurement Science Review, 2009, vol. 9, no. 5, p. 127-130.

Citácie z databázy WOS: 1

  1. MARCON, P. – BARTUSEK, K. – DOKOUPIL, Z. – GESCHEIDTOVA, E. Diffusion MRI: Mitigation of magnetic field inhomogeneities. In Measurement Science Review, 2012, vol. 12, no. 5, p. 205-212.

 

  • JURÁŠ, Vladimír – ZBÝŇ, Š. – SZOMOLÁNYI, Pavol – TRATTNIG, S. Regression error estimation significantly improves the region-of-interest statistics of noisy MR images. In Medical Physics, 2010, vol. 37, no. 6, p. 2813-2821.

Citácie z databázy WOS: 1

  1. ANDRIS, P. – FROLLO, I. Measurement of magnetic field with background using a low-field NMR scanner. In Measurement Science & Technology, 2012, vol. 23, no. 6.

 

  • JURÁŠ, Vladimír – ZBÝŇ, Š. – PRESSL, Ch. – DOMAYER, S.E. – HOFSTAETTER, J.G. – MAYERHOEFER, M.E. – WINDHAGER, R. – TRATTNIG, S. Sodium MR imaging of achilles tendinopathy at 7 T: Preliminary results. In Radiology, 2012, vol. 262, no. 1, p. 199-205.

Citácie z databázy WOS: 1

  1. BOADA, F.E. – QIAN, Y. – NEMOTO, E. – JOVIN, T. – JUNGREIS, Ch. – JONES, S.C. – WEIMER, J. – LEE, V. Sodium MRI and the assessment of irreversible tissue damage during hyper-acute stroke. In Translational Stroke Research, 2012, vol. 3, no. 2, SI, p. 236-245.

 

  • KAWATE, E. – HAIN, Miroslav. New scatterometer for spatial distribution measurements of light scattering from materials. In Measurement Science Review, 2012, vol. 12, no. 2, p. 56-61.

Citácie z databázy WOS: 2

  1. VALICEK, J. – DRZIK, M. – HRYNIEWICZ, T. – HARNICAROVA, M. – ROKOSZ, K. – KUSNEROVA, M. – BARCOVA, K. – BRAZINA, D. Non-contact method for surface roughness measurement after machining. In Measurement Science Review, 2012, vol. 12, no. 5, p. 184-188.
  2. LV, H. – YAN, W. – YANG, X. – LI, J. – ZHU, J. Signal detection of multi-channel capillary electrophoresis chip based on CCD. In Measurement Science Review, 2012, vol. 12, no. 6, p. 272-276.

 

  • KÖNING, R. – KAROVIČ, Karol – WIMMER, G. – WITKOVSKÝ, Viktor. Estimating the standard uncertainty contribution of the straight-line fit algorithm used to determine the position and the width of a graduation line. In Metrologia, 2012, vol. 49, no. 3, p. 169-179.

Iné citácie: 1

  1. DG7 (Discussion Group on Line Scales) Report to CCL (Consultative Committee for Length). CCL/12-37-01. BIMP HQ, Sevres, France, 2012.

 

  • KRAKOVSKÁ, Anna. Correlation dimension underestimation. In Acta Physica Slovaca, 1995, vol. 45, no. 5, p. 567-574.

Citácie z databázy SCOPUS: 2

  1. JIRINA, M. Near neighbor distribution in fractal and finite sets. In SoCPaR 2011 : International Conference of Soft Computing and Pattern Recognition. 2011, art. number 6089285, p. 446-451.
  2. JIRINA, M. Near neighbor distribution in fractal and finite sets. In SoCPaR 2011 : International Conference of Soft Computing and Pattern Recognition. 2011, art. number 6089286, p. 452-457.

Iné citácie: 1

  1. JIRINA, M. Near neighbor distribution in sets of fractal nature. In International Journal of Computer Information Systems and Industrial Management Applications, 2012, vol. 5, p. 159-166.

 

  • KRAKOVSKÁ, Anna. Noise reduction based on dynamics reconstruction. In Measurement Science Review, 2001, vol. 1, p. 21-24.

Citácie z databázy SCOPUS: 1

  1. SUPRAJA, V. – UMAMAHESWARA REDDY, G. Comparative analysis of heart rate variability for ECG groups based on correlation dimension. In International Journal of Applied Engineering Research, 2011, vol. 6, no. 3, p. 357-366.

 

  • KRAKOVSKÁ, AnnaMEZEIOVÁ, Kristína. Automatic sleep scoring: A search for an optimal combination of measures. In Artificial Intelligence in Medicine, 2011, vol. 53, no. 1, p. 25-33.

Citácie z databázy WOS: 1

  1. KOLEY, B. – DEY, D. An ensemble system for automatic sleep stage classification using single channel EEG signal. In Computers in Biology and Medicine, 2012, vol. 42, no. 12, p. 1186-1195.

 

  • KUBÁČEK, L. – KUBÁČKOVÁ, L. – VOLAUFOVÁ, Júlia. Statistical Models with Linear Structures. Bratislava : Veda, 1995. 471 s.

Citácie z databázy WOS: 3

  1. PAZMAN, A. Optimality criteria for design in nonlinear models with constraints. In PROBASTAT ’11: Proceedings of the Sixth International Conference on Probability and Statistics (Dedicated to Professor Lubomir Kubacek in Recognition of his Eightieth Birthday). 2012, vol. 51, p. 141-149.
  2. FISEROVA, E. – HRON, K. Statistical inference in orthogonal regression for three-part compositional data using a linear model with type-II constraints. In Communications in Statistics – Theory and Methods, 2012, vol. 41, no. 13-14, SI, p. 2367-2385.
  3. HRON, K. – FILZMOSER, P. – THOMPSON, K. Linear regression with compositional explanatory variables. In Journal of Applied Statistics, 2012, vol. 39, no. 5, p. 1115-1128.

 

  • KUSHCH, I. – ARENDACKÁ, BarboraŠTOLC, Svorad – MOCHALSKI, P. – FILIPIAK, W. – SCHWARZ, K. – SCHWENTNER, L. – SCHMID, A. – DZIEN, A. – LECHLEITNER, M. – WITKOVSKÝ, Viktor – MIEKISCH, W. – SCHUBERT, J. – UNTERKOFLER, K. – AMANN, A. Breath isoprene – aspects of normal physiology related to age, gender and cholesterol profile as determined in a proton transfer reaction mass spectrometry study. In Clinical Chemistry and Laboratory Medicine, 2008, vol. 46, no. 7, p. 1011-1018.

Citácie z databázy WOS: 1

  1. HORNUSS, C. – ZAGLER, A. – DOLCH, M.E. – WIEPCKE, D. – PRAUN, S. – BOULESTEIX, A.-L. – WEIS, F. – APFEL, C.C. – SCHELLING, G. Breath isoprene concentrations in persons undergoing general anesthesia and in healthy volunteers. In Journal of Breath Research, 2012, vol. 6, no. 4.

 

  • LATTA, Peter – GRUWEL, M.L.H. – VOLOTOVSKYY, V. – WEBER, M. – TOMANEK, B. Simple phase method for measurement of magnetic field gradient waveforms. In Magnetic Resonance Imaging, 2007, vol. 25, p. 1272-1276.

Citácie z databázy WOS: 2

  1. ANDRIS, P. – FROLLO, I. Measurement of magnetic field with background using a low-field NMR scanner. In Measurement Science & Technology, 2012, vol. 23, no. 6.
  2. ADDY, N.O. – WU, H.H. – NISHIMURA, D.G. Simple method for MR gradient system characterization and k-space trajectory estimation. In Magnetic Resonance in Medicine, 2012, vol. 68, no. 1, p. 120-129.

 

  • LATTA, Peter – GRUWEL, M.L.H. – VOLOTOVSKYY, V. – WEBER, M. – TOMANEK, B. Single-point imaging with a variable phase encoding interval. In Magnetic Resonance Imaging, 2008, vol. 26, p. 109-116.

Citácie z databázy WOS: 1

  1. ANDRIS, P. – FROLLO, I. Measurement of magnetic field with background using a low-field NMR scanner. In Measurement Science & Technology, 2012, vol. 23, no. 6.

 

  • LATTA, Peter – GRUWEL, M.L.H. – DEBERGUE, P. – MATWIY, B. – SBOTO-FRANKENSTEIN, U.N. – TOMANEK, B. Convertible pneumatic actuator for magnetic resonance elastography of the brain. In Magnetic Resonance Imaging, 2011, vol. 29, p. 147-152.

Citácie z databázy WOS: 2

  1. GLASER, K.J. – MANDUCA, A. – EHMAN, R.L. Review of MR elastography applications and recent developments. In Journal of Magnetic Resonance Imaging, 2012, vol. 36, no. 4, p. 757-774.
  2. LI, B.N. – CHUI, Ch.K. – ONG, S.H. – NUMANO, T. – WASHIO, T. – HOMMA, K. – CHANG, S. – VENKATESH, S. – KOBAYASHI, E. Modeling shear modulus distribution in magnetic resonance elastography with piecewise constant level sets. In Magnetic Resonance Imaging, 2012, vol. 20, no. 3, p. 390-401.

 

  • LAURITSEN, K.B. – SNEPPEN, K. – MARKOŠOVÁ, Mária – JENSEN, M.H. Directed percolation with an absorbing boundary. In Physica A : Statistical Mechanics and Its Applications, 1997, vol. 247, p. 1-9.

Citácie z databázy WOS: 1

  1. FAUSTINO, C. L. – LYRA, M. L. – RAPOSO, E. P. – VISWANATHAN, G. M. – DA LUZ, M. G. E. The universality class of random searches in critically scarce environments. In EPL, 2012, vol. 97, no. 5.

 

  • LI, P. – FARKAŠ, Igor – MACWHINNEY, B. Early lexical development in a self-organizing neural network. In Neural Networks, 2004, vol. 17, p. 1345-1362.

Citácie z databázy WOS: 1

  1. MCMURRAY, B. – HORST, J.S. – SAMUELSON, L.K. Word learning emerges from the interaction of online referent selection and slow associative learning. In Psychological Review, 2012, vol. 119, no. 4, p. 831-877.

 

  • MAMISCH, T.C. – MENZEL, M.I. – WELSCH, G.H. – BITTERSOHL, B. – SALOMONOWITZ, E. – SZOMOLÁNYI, Pavol – KORDELLE, J. – MARLOVITS, S. – 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 European Journal of Radiology, 2008, vol. 65, p. 72-79.

Citácie z databázy WOS: 1

  1. KIM, S.D. – JESSEL, R. – ZURAKOWSKI, D. – MILLIS, M.B. – KIM, Y.-J. Anterior delayed gadolinium-enhanced MRI of cartilage values predict joint failure after periacetabular osteotomy. In Clinical Orthopaedics and Related Research, 2012, vol. 470, no. 12, p. 3332-3341.

 

  • MARKOŠ, Peter. The one dimensional Anderson model with off diagonal disorder – band center anomaly. In Zeitschrift für Physik B – Condensed Matter, 1988, vol. 73, no. 1, p. 17-21.

Citácie z databázy WOS: 1

  1. IZRAILEV, F. M. – KROKHIN, A. A. – MAKAROV, N. M. Anomalous localization in low-dimensional systems with correlated disorder. In Physics Reports-Review Section of Physics Letters, 2012, vol. 512, no. 3, p. 125-254.

 

  • MARKOŠOVÁ, Mária – MARKOŠ, P. Analytical calculation of the attractor periods of deterministic sandpiles. In Physical Review, 1992, vol. 46, no. 6, p. 3531-3534.

Citácie z databázy WOS: 1

  1. PRUESSNER, G. Self-Organised Criticality: Theory, Models and Characterisation. 2012.

 

  • MARKOŠOVÁ, Mária. Language as a small world network. In Proceedings of 6th Conference on Hybrid Inteligent Systems and 4th Conference on Neuro-Computing and Evolving Inteligence. IEEE Computer Society Press, 2006.

Citácie z databázy WOS: 1

  1. LIANG, W. – SHI, Y.M. – TSE, C.K. – WANG, Y.L. Study on co-occurrence character networks from Chinese essays in different periods. In Science China-Information Sciences, 2012, vol. 55, no. 11, p. 2417-2427.

 

  • MATEJ, Samuel – LEWITT, R.M. Practical considerations for 3-D image reconstruction using spherically symmetric volume elements. In IEEE Transactions on Medical Imaging, 1996, vol. 15, p. 68-78.

Citácie z databázy WOS: 7

  1. HUSSEIN, E.M.A. Features. In Computed Radiation Imaging: Physics and Mathematics of Forward and Inverse Problems. 2011, p. 75-86.
  2. HAN, X. – BIAN, J. – RITMAN, E.L. – SIDKY, E.Y. – PAN, X. Optimization-based reconstruction of sparse images from few-view projections. In Physics in Medicine and Biology, 2012, vol. 57, no. 16.
  3. XU, Q. – SIDKY, E.Y. – PAN, X. – STAMPANONI, M. – MODREGGER, P. – ANASTASIO, M.A. Investigation of discrete imaging models and iterative image reconstruction in differential X-ray phase-contrast tomography. In Optics Express, 2012, vol. 20, no. 10, p. 10724-10749.
  4. CABELLO, J. – RAFECAS, M. Comparison of basis functions for 3D PET reconstruction using a Monte Carlo system matrix. In Physics in Medicine and Biology, 2012, vol. 57, no. 7, p. 1759-1777.
  5. ISOLA, A. A. – METZ, C. T. – SCHAAP, M. – KLEIN, S. – GRASS, M. – NIESSEN, W. J. Cardiac motion-corrected iterative cone-beam CT reconstruction using a semi-automatic minimum cost path-based coronary centerline extraction. In Computerized Medical Imaging and Graphics, 2012, vol. 36, no. 3, p. 215-226.
  6. ENTEZARI, A. – NILCHIAN, M. – UNSER, M. A box spline calculus for the discretization of computed tomography reconstruction problems. In IEEE Transactions on Medical Imaging, 2012, vol. 31, no. 8, p. 1532-1541.
  7. BYRNE, Ch. – GORDON, D. – HEILPER, D. Models for biomedical image reconstruction based on integral approximation methods. In 9th IEEE International Symposium on Biomedical Imaging (ISBI). 2012, p. 70-73.

Citácie z databázy SCOPUS: 3

  1. KOTASIDIS, F.A. – HEINZER, S. – ZAIDI, H. Experimental evaluation and image reconstruction based optimization of the spatially variant PSF on the ingenuity TF PET/MR scanner. In IEEE Nuclear Science Symposium Conference Record. 2012, art. no. 6551666, p. 2921-2924.
  2. CABELLO, J. – GILLAM, J.E. – RAFECAS, M. High performance 3D PET reconstruction using spherical basis functions on a polar grid. In International Journal of Biomedical Imaging, 2012, art. no. 452910.
  3. MOMEY, F. – DENIS, L. – MENNESSIER, C. – THIÉBAUT, É. – BECKER, J.-M. – DESBAT, L. A new representation and projection model for tomography, based on separable B-splines. In IEEE Nuclear Science Symposium Conference Record. 2012, art. no. 6152700, p. 2602-2609.

 

  • MAYERHOEFER, M.E. – SZOMOLÁNYI, Pavol – JIRÁK, D. – MATERKA, A. – 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 Medical Physics, 2009, vol. 36, no. 4, p. 1236-1243.

Citácie z databázy SCOPUS: 2

  1. DAVNALL, F. – YIP, C.S.P. – LJUNGQVIST, G. – SELMI, M. – NG, F. – SANGHERA, B. – GANESHAN, B. – MILES, K.A. – COOK, G.J. – GOH, V. Assessment of tumor heterogeneity: An emerging imaging tool for clinical practice? In Insights Into Imaging, 2012, vol. 3, no. 6, p. 573-589.
  2. ZHANG, Y. MRI texture analysis in multiple sclerosis. In International Journal of Biomedical Imaging, 2012, art. no. 762804.

 

  • MAYERHOEFER, M.E. – MAMISCH, T.C. – RIEGLER, G. – WELSCH, G.H. – DOBROCKY, T. – WEBER, M. – APPRICH, S. – SCHEURECKER, G. – SZOMOLÁNYI, Pavol – PUCHNER, S. – TRATTNIG, S. Gadolinium diethylenetriaminepentaacetate enhancement kinetics in the menisci of asymptomatic subjects: a first step towards a dedicated dGEMRIC (delayed gadolinium-enhanced MRI of cartilage)-like protocol for biochemical imaging of the menisci. In NMR in Biomedicine, 2011, vol. 24, no. 10, p. 1210-1215.

Citácie z databázy WOS: 1

  1. ENGLUND, M. – ROEMER, F.W. – HAYASHI, D. – CREMA, M.D. – GUERMAZI, A. Meniscus pathology, osteoarthritis and the treatment controversy. In Nature Reviews Rheumatology, 2012, vol. 8, no. 7, p. 412-419.

 

  • MIČUNEK, R. – PLECENIK, A. – KÚŠ, P. – ZAHORAN, M. – TOMÁŠEK, M. – PLECENIK, T. – GREGOR, M. – ŠTEFEČKA, M. – JACKO, Vlado – GREGUŠ, J. – GRANČIČ, B. – KUBINEC, M. – MAHEĽ, M. Preparation of MgB2 superconducting thin films by magnetron sputtering. In Physica C : Superconductivity and Its Applicacions, 2006, vol. 435, p. 78-81.

Citácie z databázy WOS: 1

  1. FABRETTI, S. – SCHAEFERS, M. – SCHEBAUM, O. – THOMAS, P. – THOMAS, A. Transport measurements on lateral MgB2/Fe/MgB2 junctions. In Journal of Applied Physics, 2012, vol. 111, no. 7.

 

  • MLYNÁRIK, V. – SZOMOLÁNYI, Pavol – TOFFANIN, R. – VITTUR, F. – TRATTNIG, S. Transverse relaxation mechanisms in articular cartilage. In Journal of Magnetic Resonance, 2004, vol. 169, p. 300-307.

Citácie z databázy WOS: 3

  1. WANG, N. – XIA, Y. Orientational dependent sensitivities of T-2 and T-1 rho towards trypsin degradation and Gd-DTPA(2-) presence in bovine nasal cartilage. In Magnetic Resonance Materials in Physics Biology and Medicine, 2012, vol. 25, no. 4, p. 297-304.
  2. SOUZA, R.B. – BAUM, T. – WU, S. – FEELEY, B.T. – KADEL, N. – LI, X.J. – LINK, T.M. – MAJUMDAR, S. Effects of unloading on knee articular cartilage T1rho and T2 magnetic resonance imaging relaxation times: A case series. In Journal of Orthopaedic & Sports Physical Therapy, 2012, vol. 42, no. 6, p. 511-520.
  3. PINNEY, J.R. – TAYLOR, C. – DOAN, R. – BURGHARDT, A.J. – LI, X.J. – KIM, H.T. – MA, C.B. – MAJUMDAR, S. Imaging longitudinal changes in articular cartilage and bone following doxycycline treatment in a rabbit anterior cruciate ligament transection model of osteoarthritis. In Magnetic Resonance Imaging, 2012, vol. 30, no. 2, p. 271-282.

 

  • MOKROŠ, J. – HAIN, Miroslav. Calibration of large square standards. In Measurement Science Review, 2001, vol. 1, p. 97-191.

Citácie z databázy WOS: 1

  1. HEMMING, B. – KORHONEN, A. – PALOSUO, I. – LASSILA, A. Equipment for the calibration of squareness standards. In Measurement Science & Technology, 2012, vol. 23, no. 9.

 

  • MORVOVÁ, M. – MORVA, I. – JANDA, M. – HANIC, František – LUKÁČ, P. Combustion and carbonisation exhaust utilisation in electric disharge and its relation to prebiotic chemistry. In International Journal of Mass Spectrometry, 2003, vol. 223-224, p. 613-625.

Citácie z databázy SCOPUS: 1

  1. CHMIELEWSKÁ, E. An update of zeolitic and other traditional adsorption and ion exchange materials in water cleanup processes. In Handbook of Natural Zeolites, 2012, p. 436-452.

 

  • MURANO, E. – JELLÚŠ, Vladimír – PIRAS, A. – TOFFANIN, R. Cell wall polysaccharides from gelidium species : physico-chemical studies using MRI techniques. In Journal of Applied Phycology, 1998, vol. 10, no. 3, p. 315-322.

Citácie z databázy WOS: 1

  1. SAMPAIO ASSREUY, A.M. – FERREIRA AMORIM, R.M. – CAVALCANTE BRIZENO, L.A. – PEREIRA, L.P. – SYDNEY DE SOUSA, A.A. – ARAGAO, G.F. – PEREIRA, M.G. Edematogenic activity of a sulfated galactan from the red marine algae Gelidium crinale. In Pharmaceutical Biology, 2012, vol. 50, no. 9, p. 1194-1198.

 

  • NOEBAUER-HUHMANN, I.M. – SZOMOLÁNYI, PavolJURÁŠ, Vladimír – KRAFF, O. – LADD, M.E. – TRATTNIG, S. Gadolinium-based magnetic resonance contrast agents at 7 tesla : in vitro T1 relaxivities in human blood plasma. In Investigative Radiology, 2010, vol. 45, no. 9, p. 554-558.

Citácie z databázy WOS: 3

  1. VITALIANO, G.D. – VITALIANO, F. – RIOS, J.D. – RENSHAW, P.F. – TEICHER, M.H. New clathrin-based nanoplatforms for magnetic resonance imaging. In PLoS One, 2012, vol. 7, no. 5.
  2. LOAI, Y. – SAKIB, N. – JANIK, R. – FOLTZ, W.D. – CHENG, H.-L.M. Human aortic endothelial cell labeling with positive contrast gadolinium oxide nanoparticles for cellular magnetic resonance imaging at 7 tesla. In Molecular Imaging, 2012, vol. 11, no. 2, p. 166-175.
  3. BUDDE, M.D. – GOLD, E. – JORDAN, E.K. – FRANK, J.A. Differential microstructure and physiology of brain and bone metastases in a rat breast cancer model by diffusion and dynamic contrast enhanced MRI. In Clinical & Experimental Metastasis, 2012, vol. 29, no. 1, p. 51-62.

Citácie z databázy SCOPUS: 1

  1. SASAKI, M. – KUDO, K. – UWANO, I. – KABASAWA, H. – MATSUDA, T. Neuroimaging using ultrahigh-field magnetic resonance imaging at 7 tesla: Current concepts. In Brain and Nerve, 2012, vol. 64, no. 9, p. 1057-1062.

 

  • PETRÁK, J. – MRAVEC, B. – JURÁNI, M. – BARANOVSKÁ, M. – TLLINGER, A. – HAPALA, I. – FROLLO, Ivan – KVETŇANSKÝ, R. Hypergravity-induced increase in plasma catecholamine and corticosterone levels in telemetrically collected blood of rats during centrifugation. In Stress, Neurotransmitters, and Hormones : Neuroendocrine and Genetic Mechanisms. – Wiley-Blackwell, 2008, 1148 P. 201-208.

Citácie z databázy WOS: 1

  1. GUÉGUINOU, N. – BOJADOS, M. – JAMON, M. – DERRADJI, H. – BAATOUT, S. – TSCHIRHART, E. – FRIPPIAT, J.P. – LEGRAND-FROSSI, C. Stress response and humoral immune system alterations related to chronic hypergravity in mice. In Psychoneuroendocrinology, 2012, vol. 37, p. 137-147.

 

  • PINKER, K. – SZOMOLÁNYI, Pavol – WELSCH, G.H. – MAMISCH, T.C. – MARLOVITS, S. – STADLBAUER, A. – TRATTNIG, S. Longitudinal evaluation of cartilage composition of matrix-associated autologous chondrocyte transplants with 3-T delayed gadolinium-enhanced MRI of cartilage. In American Journal of Roentgenology, 2008, vol. 191, p. 1391-1396.

Citácie z databázy WOS: 1

  1. SICLARI, A. – MASCARO, G. – GENTILI, Ch. – CANCEDDA, R. – BOUX, E. A cell-free scaffold-based cartilage repair provides improved function hyaline-like repair at one year. In Clinical Orthopaedics and Related Research, 2012, vol. 470, no. 3, p. 910-919.

Citácie z databázy SCOPUS: 2

  1. VAN WILDER, P. Advanced therapy medicinal products and exemptions to the Regulation 1394/2007: How confident can we be? An exploratory analysis. In Frontiers in Pharmacology, 2012, art. no. 12.
  2. DAHLBERG, L.E. – LAMMENTAUSTA, E. – TIDERIUS, C.J. – NIEMINEN, M.T. In vivo monitoring of joint cartilage – lessons to be learned by delayed: Gadolinium enhanced magnetic resonance imaging of cartilage. In European Musculoskeletal Review, 2012, vol. 7. no. 1, p. 58-62.

 

  • PINKER, K. – GRABNER, G. – BOGNER, W. – GRUBER, S. – SZOMOLÁNYI, Pavol – TRATTNIG, S. – HEINZ-PEER, G. – WEBER, M. – FITZAL, F. – PLUSCHNIG, U. – RUDAS, M. – HELBICH, T. A combined high temporal and high spatial resolution 3 Tesla MR imaging protocol for the assessment of breast lesions: Initial results. In Investigative Radiology, 2009, vol. 44, no. 9, p. 553-558.

Citácie z databázy WOS: 3

  1. JOHNSON, K.S. – BAKER, J.A. – LEE, S.S. – SOO, M.S. Suspicious breast lesions detected at 3.0 T magnetic resonance imaging: Clinical and histological outcomes. In Academic Radiology, 2012, vol. 19, no. 6, p. 667-674.
  2. UEMATSU, T. – KASAMI, M. High-spatial-resolution 3-T breast MRI of nonmasslike enhancement lesions: An analysis of their features as significant predictors of malignancy. In American Journal of Roentgenology, 2012, vol. 198, no. 5, p. 1223-1230.
  3. NIEVES PLANA, M. – CARREIRA, C. – MURIEL, A. – CHIVA, M. – ABRAIRA, V. – IGNACIO EMPARANZA, J. – BONFILL, X. – ZAMORA, J. Magnetic resonance imaging in the preoperative assessment of patients with primary breast cancer: Systematic review of diagnostic accuracy and meta-analysis. In European Radiology, 2012, vol. 22, no. 1, p. 26-38.

 

  • PŘIBIL, Jiří – ZAŤKO, B. – FROLLO, Ivan – DUBECKÝ, F. – ŠČEPKO, P. – MUDROŇ, J. Quantum imaging X-ray CT systems based on GaAs radiation detectors using perspective imaging reconstruction techniques. In Measurement Science Review, 2009, vol. 9, no. 1, p. 27-32.

Citácie z databázy WOS: 2

  1. WELLS, K. – BRADLEY, D.A. A review of X-ray explosives detection techniques for checked baggage. In Applied Radiation and Isotopes, 2012, vol. 70, no. 8, p. 1729-1746.
  2. JIN GUOFENG – ZHANG WEI – YANG ZHENGWEI – HUANG ZHIYONG – SONG YUANJIA – WANG DONGDONG – TIAN GAN. Image segmentation of thermal waving inspection based on particle swarm optimization fuzzy clustering algorithm. In Measurement Science Review, 2012, vol. 12, no. 6, p. 296-301.

Iné citácie: 1

  1. AVENEL-LE GUERROUE, M.L. PhD Thesis. Grenoble: CEA – LETI – Direction de la Recherche Technologique, 2012.

 

  • PŘIBIL, Jiří – PŘIBILOVÁ, A. An experiment with evaluation of emotional speech conversion by spectrograms. In Measurement Science Review, 2010, vol. 10, no. 3, p. 72-77.

Citácie z databázy SCOPUS: 1

  1. MATOUŠEK, J. – TIHELKA, D. – ŠMÍDL, L. On the impact of annotation errors on unit-selection speech synthesis. In Text, Speech and Dialogue, LNCS Vol. 7499, Springer, 2012, p. 456-463.

 

  • PŘIBIL, Jiří – HORÁČEK, J. – HORÁK, P. Two methods of mechanical noise reduction of recorded speech during phonation in an MRI device. In Measurement Science Review, 2011, vol. 11, no. 3, p. 92-98.

Citácie z databázy WOS: 3

  1. MARCON, P. – BARTUSEK, K. – DOKOUPIL, Z. – GESCHEIDTOVA, E. Diffusion MRI: Mitigation of magnetic field inhomogeneities. In Measurement Science Review, 2012, vol. 12, no. 5, p. 205-212.
  2. ANDRIS, P. – FROLLO, I. Measurement of magnetic field with background using a low-field NMR scanner. In Measurement Science & Technology, 2012, vol. 23, no. 6.
  3. SMIRG, O. – LIBERDA, O. – SMEKAL, Z. – SPRLAKOVA-PUKOVA, A. MRI slice segmentation and 3D modelling of temporomandibular joint measured by microscopic coil. In Measurement Science Review, 2012, vol. 12, no. 3, p. 74-81.

 

  • PŘIBILOVÁ, A. – PŘIBIL, Jiří. Harmonic model for female voice emotional synthesis. In Biometric ID Management and Multimodal Communication. Berlin : Springer-Verlag, 2009, p. 41-48.

Citácie z databázy SCOPUS: 1

  1. GRŮBER, M. – HANZLÍČEK, Z. Czech expressive speech synthesis in limited domain: Comparison of unit selection and HMM-based approaches. In Text, Speech and Dialogue, LNCS Vol. 7499. Springer, 2012, p. 656-664.

 

  • RAPTA, P. – VARGOVÁ, A. – POLOVKOVÁ, Júlia – GATIAL, A. – OMELKA, L. – MAJZLÍK, P. – BREZA, M. A variety of oxidation products of antioxidants based on N,N‘-substituted p-phenylenediamines. In Polymer Degradation and Stability, 2009, vol. 94, no. 9, p. 1457-1466.

Citácie z databázy SCOPUS: 1

  1. IONOVA, N.I. – ZEMSKII, D.N. – SAFIN, D.K. Stabilisation of a stereoregular polyisoprene rubber with oxypropylated derivatives of aromatic amines. In International Polymer Science and Technology, 2012, vol. 39, no. 2, p. T19-T22.

 

  • ROSÍK, VladimírTYŠLER, MilanTURZOVÁ, Marie. Portable device for ECG mapping. In MEASUREMENT ’97 : International Conference on Measurement. Bratislava : Institute of Measurement Science, SAS, 1997, p. 367-370.

Citácie z databázy WOS: 1

  1. KOZLIKOVA, K. – MARTINKA, J. – BULAS, J. ST Segment body surface isointegral maps in patients with arterial hypertension. In Physiological Research, 2012, vol. 61, no. 1, p. 35-42.

 

  • ROSIPAL, Roman – DORFFNER, G. – TRENKER, E. Can ICA improve sleep-spindless detection? In Neural Network World, 1998, vol. 8, no. 5, p. 539-548.

Citácie z databázy WOS: 1

  1. BABADI, B. – MCKINNEY, S.M. – TAROKH, V. – ELLENBOGEN, J.M. DiBa: A data-driven bayesian algorithm for sleep spindle detection. In IEEE Transactions on Biomedical Engineering, 2012, vol. 59, no. 2, p. 483-493.

 

  • ROSIPAL, Roman – TREJO, L.J. Kernel partial least squares regression in RKHS. In Journal of Machine Learning Research, 2001, vol. 2, p. 97-123.

Citácie z databázy WOS: 40

  1. MOON, S. – QI, H. Hybrid dimensionality reduction method based on support vector machine and independent component analysis. In IEEE Transactions on Neural Networks and Learning Systems, 2012, vol. 23, no. 5, p. 749-761.
  2. TANG, J. – YU, W. – CHAI, T. – ZHAO, L. On-line principal component analysis with application to process modeling. In Neurocomputing, 2012, vol. 82, p. 167-178.
  3. LV, Y. – LIU, J. – YANG, T. Nonlinear PLS integrated with error-based LSSVM and its application to NOx modeling. In Industrial & Engineering Chemistry Research, 2012, vol. 51, no. 49, p. 16092-16100.
  4. WIBOWO, A. – DESA, M.I. Kernel based regression and genetic algorithms for estimating cutting conditions of surface roughness in end milling machining process. In Expert Systems with Applications, 2012, vol. 39, no. 14, p. 11634-11641.
  5. SONG, K. Recognition of prokaryotic promoters based on a novel variable-window Z-curve method. In Nucleic Acids Research, 2012, vol. 40, no. 3, p. 963-971.
  6. WANG, Q. – CHEN, F. – XU, W. – YANG, M.-H. Object tracking via partial least squares analysis. In IEEE Transactions on Image Processing, 2012, vol. 21, no. 10, p. 4454-4465.
  7. HONEINE, P. Online kernel principal component analysis: A reduced-order model. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012, vol. 34, no. 9, p. 1814-1826.
  8. IZQUIERDO-VERDIGUIER, E. – GOMEZ-CHOVA, L. – BRUZZONE, L. – CAMPS-VALLS, G. Semisupervised nonlinear feature extraction for image classification. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2012, p. 1525-1528.
  9. IZQUIERDO-VERDIGUIER, E. – ARENAS-GARCIA, J. – MUNOZ-ROMERO, S. – GOMEZ-CHOVA, L. – CAMPS-VALLS, G. Semisupervised kernel orthonormalized partial least squares. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 2012.
  10. HASEGAWA, K. – FUNATSU, K. Evolution of PLS for modeling SAR and omics data. In Molecular Informatics, 2012, vol. 31, no. 11-12, p. 766-775.
  11. QIN, S.J. Survey on data-driven industrial process monitoring and diagnosis. In Annual Reviews in Control, 2012, vol. 36, no. 2, p. 220-234.
  12. CHU, F. – WANG, F.L. – WANG, X.G. – ZHANG, S.N. Performance modeling of centrifugal compressor using kernel partial least squares. In Applied Thermal Engineering, 2012, vol. 44, p. 90-99.
  13. YU, J. Multiway gaussian mixture model based adaptive kernel partial least squares regression method for soft sensor estimation and reliable quality prediction of nonlinear multiphase batch processes. In Industrial & Engineering Chemistry Research, 2012, vol. 51, no. 40, p. 13227-13237.
  14. VALCARCEL, J.A. – RAZO-HERNANDEZ, R.S. – VALDEZ-VELAZQUEZ, L.L. – GARCIA, M.V. – ORGANILLO, A.A.R. – VAZQUEZ-VUELVAS, O.F. – RUIZ, M.A.G. – GOMEZ-SANDOVAL, Z. Antitumor structure-activity relationship in bis-stannoxane derivatives from pyridine dicarboxylic and benzoic acids. In Inorganica Chimica Acta, 2012, vol. 392, p. 229-235.
  15. PLATIKANOV, S. – MARTIN, J. – TAULER, R. Linear and non-linear chemometric modeling of THM formation in Barcelona’s water treatment plant. In Science of the Total Environment, 2012, vol. 432, p. 365-374.
  16. VERDUN, S. – HANAFI, M. – CARIOU, V. – QANNARI, E.M. Quadratic PLS1 regression revisited. In Journal of Chemometrics, 2012, vol. 26, no. 7, p. 384-389.
  17. OUYANG, Q. – ZHAO, J.W. – CHEN, Q.S. – LIN, H. – SUN, Z.B. Rapid measurement of antioxidant activity in dark soy sauce by NIR spectroscopy combined with spectral intervals selection and nonlinear regression tools. In Analytical Methods, 2012, vol. 4, no. 4, p. 940-946.
  18. MELAND, E. – THORNHILL, N.F. – LUNDE, E. – RASMUSSEN, M. Quantification of valve leakage rates. In AIChE Journal, 2012, vol. 58, no. 4, p. 1181-1193.
  19. TAOUALI, O. – ELAISSI, E. – MESSAOUD, H. Design and comparative study of online kernel methods identification of nonlinear system in RKHS space. In Artificial Intelligence Review, 2012, vol. 37, no. 4, p. 289-300.
  20. HELANDER, E. – SILEN, H. – VIRTANEN, T. – GABBOUJ, M. Voice conversion using dynamic kernel partial least squares regression. In IEEE Transactions on Audio Speech and Language Processing, 2012, vol. 20, no. 3, p. 806-817.
  21. LI, Q.B. – LIU, J.Q. – LI, X. Development of human blood glucose noninvasive measurement system based on near infrared spectral technology. In Spectroscopy and Spectral Analysis, 2012, vol. 32, no. 3, p. 642-646.
  22. NOORIZADEH, H. – FARMANY, A. Determination of partitioning of drug molecules using immobilized liposome chromatography and chemometrics methods. In Drug Testing and Analysis, 2012, vol. 4, no. 2, SI, p. 151-157.
  23. TAOUALI, O. – ELAISSI, I. – MESSAOUD, H. Online identification of nonlinear system using reduced kernel principal component analysis. In Neural Computing & Applications, 2012, vol. 21, no. 1, p. 161-169.
  24. KORKMAZOGLU, O.B. – KEMALBAY, G. Econometrics application of partial least squares regression: An endogeneous growth model for Turkey. In World Conference on Business, Economics and Management (BEM-2012), 2012, vol. 62, p. 906-910.
  25. SANTIAGO-MOZOS, R. – ROJO-ALVAREZ, J.L. – ANTORANZ, J.C. – RODRIGUEZ, D. – DESCO, M. – BARRIO, A. – BENITO, Y. – YOTTI, R. – BERMEJO, J. Estimation of reference indices of left ventricular chamber function from echocardiographic images with multidimensional kernel methods. In Computing in Cardiology, 2012, vol. 39, p. 549-552.
  26. LIU, Y. – LUO, G.M. – ZHANG, Y.L. Response surface modeling by local kernel partial least squares. In Fifth International Symposium on Parallel Architectures, Algorithms and Programming (PAAP). 2012, p. 269-276.
  27. DENG, L. – TUR, G. – HE, X.D. – HAKKANI-TUR, D. Use of kernel deep convex networks and end-to-end learning for spoken language understanding. In IEEE Workshop on Spoken Language Technology (SLT 2012). 2012, p. 210-215.
  28. FORD, W. – PARK, J.W. – CAMPBELL, A.S. – DENG, Y.P. – LI, Y. – LAND, W.H. Classifying lung cancer recurrence time using novel ensemble method with gene network based input models. In Complex Adaptive Systems 2012. 2012, vol. 12, p. 444-449.
  29. MENG, C. – WU, J.S. A novel nonlinear neural network ensemble model using K-PLSR for rainfall forecasting. In Bio-Inspired Computing and Applications, 2012, vol. 6840, p. 41-48.
  30. YAN, D. – LIU, S.W. – TANG, J. Feature selection method based on the adaptive genetic algorithm-kernel partial least squares for high dimensional data. In Automation Equipment and Systems, 2012, vol. 468-471, p. 1762-1766.
  31. HU, Y.G. – REN, C.X. – YAO, Y.F. – LI, W.Y. – FENG-WANG. Face recognition using nonlinear partial least squares in reproducing kernel hilbert space. In Pattern Recognition, 2012, vol. 321, p. 316-323.
  32. WEN, Q.J. – GE, Z.Q. – SONG, Z.H. Nonlinear dynamic process monitoring based on kernel partial least squares. In American Control Conference (ACC). 2012, p. 6650-6654.
  33. MEHDIZADEH, Z. – LOTFIZADEH, H.R. – MORTAZAVI, S.S. – NOORIZADEH, H. Exploration of nonlinear modeling techniques to predict the retention time of organic pollutants in natural water and wastewater. In Chinese Journal of Structural Chemistry, 2012, vol. 31, no. 11, p. 1580-1588.
  34. WANG, R.P. – GUO, H.M. – DAVIS, L.S. – DAI, Q.H. Covariance discriminative learning: A natural and efficient approach to image set classification. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012, p. 2496-2503.
  35. AL HAJ, M. – GONZALEZ, J. – DAVIS, L.S. On partial least squares in head pose estimation: How to simultaneously deal with misalignment. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2012, p. 2602-2609.
  36. EMBRECHTS, M.J. – GATTI, C.J. – LINTON, J. – GRUBER, T. – SICK, B. Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. In International Joint Conference on Neural Networks (IJCNN). 2012.
  37. NOORIZADEH, H. – FARMANI, A. Study of the retention time of nanoparticle compounds by quantitative structure retention relationship. In Asian Journal of Chemistry, 2012, vol. 24, no. 1, p. 203-208.
  38. NOORIZADEH, H. – FARMANY, A. Vapour pressure of atmospheric nanoparticles using genetic algorithm-partial least squares and genetic algorithm – kernel partial least squares. In Asian Journal of Chemistry, 2012, vol. 24, no. 1, p. 291-296.
  39. GHOLAMI, R. – SHAHRAKI, A.R. – PAGHALEH, M.J. Prediction of hydrocarbon reservoirs permeability using support vector machine. In Mathematical Problems in Engineering, 2012.
  40. PARK, J.I. – LIU, L. – YE, X.P. – JEONG, M.K. – JEONG, Y.S. Improved prediction of biomass composition for switchgrass using reproducing kernel methods with wavelet compressed FT-NIR spectra. In Expert Systems with Applications, 2012, vol. 39, no. 1, p. 1555-1564.

 

  • ROSIPAL, Roman. Kernel partial least squares for nonlinear regression and discrimination. In Neural Network World : International Journal on Non-Standard Computing and Artificial Intelligence, 2003, vol. 13, no. 3, p. 291-300.

Citácie z databázy WOS: 4

  1. LI, X.G. – XIA, Q. – ZHUO, L. A KPLS-eigentransformation model based face hallucination algorithm. In Chinese Journal of Electronics, 2012, vol. 21, no. 4, p. 683-686.
  2. LI, Q.B. – LIU, J.Q. – LI, X. Development of human blood glucose noninvasive measurement system based on near infrared spectral technology. In Spectroscopy and Spectral Analysis, 2012, vol. 32, no. 3, p. 642-646.
  3. SONG, K. – ZHANG, Z. – TONG, T.P. – WU, F. Classifier assessment and feature selection for recognizing short coding sequences of human genes. In Journal of Computational Biology, 2012, vol. 19, no. 3, p. 251-260.
  4. WEN, Q.J. – GE, Z.Q. – SONG, Z.H. Nonlinear dynamic process monitoring based on kernel partial least squares. In American Control Conference (ACC). 2012, p. 6650-6654.

 

  • ROSIPAL, Roman – TREJO, L. J. – MATTHEWS, B. Kernel PLS-SVC for linear and nonlinear classification. In Twentieth International Conference on Machine Learning. 2003, p. 640-647.

Citácie z databázy WOS: 8

  1. PLATIKANOV, S. – MARTIN, J. – TAULER, R. Linear and non-linear chemometric modeling of THM formation in Barcelona’s water treatment plant. In Science of the Total Environment, 2012, vol. 432, p. 365-374.
  2. LUO, G.C. – MA, Y. – QIN, K. Asymmetric learning based on kernel partial least squares for software defect prediction. In IEICE Transactions on Information and Systems, 2012, vol. E95D, no. 7, p. 2006-2008.
  3. LI, G.Z. – ZHAO, R.W. – QU, H.N. – YOU, M.Y. Model selection for partial least squares based dimension reduction. In Pattern Recognition Letters, 2012, vol. 33, no. 5, p. 524-529.
  4. KORKMAZOGLU, O.B. – KEMALBAY, G. Econometrics application of partial least squares regression: An endogeneous growth model for Turkey. In World Conference on Business, Economics and Management (BEM-2012). 2012, vol. 62, p. 906-910.
  5. MENG, C. – WU, J.S. A novel nonlinear neural network ensemble model using K-PLSR for rainfall forecasting. In Bio-Inspired Computing and Applications, 2012, vol. 6840, p. 41-48.
  6. IZQUIERDO-VERDIGUIER, E. – ARENAS-GARCIA, J. – MUNOZ-ROMERO, S. – GOMEZ-CHOVA, L. – CAMPS-VALLS, G. Semisupervised kernel orthonormalized partial least squares. In IEEE International Workshop on Machine Learning for Signal Processing (MLSP). 2012.
  7. EMBRECHTS, M.J. – GATTI, C.J. – LINTON, J. – GRUBER, T. – SICK, B. Forecasting exchange rates with ensemble neural networks and ensemble K-PLS: A case study for the US Dollar per Indian Rupee. In International Joint Conference on Neural Networks (IJCNN). 2012.
  8. SEGOVIA, F. – GORRIZ, J.M. – RAMIREZ, J. – SALAS-GONZALEZ, D. – ALVAREZ, I. – LOPEZ, M. – CHAVES, R. A comparative study of feature extraction methods for the diagnosis of Alzheimer’s disease using the ADNI database. In Neurocomputing, 2012, vol. 75, no. 1, SI, p. 64-71.

 

  • RUBLÍK, František. A quantile goodness-of-fit test for Cauchy distribution, based on extreme order statistics. In Applications of Mathematics, 2001, vol. 46, no. 5, p. 339-351.

Citácie z databázy WOS: 1

  1. KRAVCHUK, O.Y. – POLLETT, P.K. Hodges-Lehmann scale estimator for cauchy distribution. In Communications in Statistics-Theory and Methods, 2012, vol. 41, no. 20, p. 3621-3632.

 

  • RUBLÍK, František. On optimality of the LR tests in the sense of exact slopes. Part 1, general case. In Kybernetika, 1989, vol. 25, p. 13-25.

Citácie z databázy WOS: 1

  1. STEHLIK, M. Decompositions of information divergences: Recent development, open problems and applications. In 9th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences (ICNPAA 2012). 2012, vol. 1493, p. 972-976.

 

  • RUBLÍK, František. On optimality of the LR tests in the sense of exact slopes. Part 2, application to individual distributions. In Kybernetika, 1989, vol. 25, p. 117-135.

Citácie z databázy WOS: 1

  1. STEHLIK, M. Decompositions of information divergences: Recent development, open problems and applications. In 9th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences (ICNPAA 2012). 2012, vol. 1493, p. 972-976.

 

  • RUBLÍK, František. Critical values for testing location-scale hypothesis. In Measurement Science Review, 2009, vol. 9, sec. 1, p. 9-15.

Citácie z databázy SCOPUS: 1

  1. GU, D.-W. – SHEN, G.-X. – ZHANG, Y.-Z. – WANG, Z.-Q. – DING, Y. – LIANG, D. Reliability analysis of spindle system base on location-scale model. In Jilin Daxue Xuebao (Gongxueban) / Journal of Jilin University (Engineering and Technology Edition), 2012, vol. 42, suppl. 1, p. 104-107.

 

  • RUBLÍK, František. A note on simultaneous confidence intervals for ratio of variances. In Communications in Statistics : Theory and Methods, 2010, vol. 39, p. 1038-1045.

Citácie z databázy WOS: 1

  1. HOTHORN, L.A. – LIBIGER, O. – GERHARD, D. Model-specific tests on variance heterogeneity for detection of potentially interacting genetic loci. In BMC Genetics, 2012, vol. 13.

 

  • SAVIN, Alexander – WIMMER, G. – WITKOVSKÝ, Viktor. On Kenward-Roger confidence intervals for common mean in interlaboratory trials. In Measurement Science Review, 2003, vol. 3, p. 53-56.

Citácie z databázy WOS: 1

  1. RUKHIN, A.L. Confidence intervals for treatment effect from restricted maximum likelihood. In Journal of Statistical Planning and Inference, 2012, vol. 142, no. 7, p. 1999-2008.

 

  • SENAJ, Viliam – GUILLOT, G. – DARRASSE, L. Inductive measurement of magnetic field gradients for magnetic resonance imaging. In Review of Scientific Instruments, 1998, vol. 69, no. 6, p. 2400-2405.

Citácie z databázy WOS: 1

  1. MARCON, P. – BARTUSEK, K. – DOKOUPIL, Z. – GESCHEIDTOVA, E. Diffusion MRI: Mitigation of magnetic field inhomogeneities. In Measurement Science Review, 2012, vol. 12, no. 5, p. 205-212.

 

  • SCHÜLLER, G.C. – TICHY, B. – MAJDIŠOVÁ, Zuzana – JAGERSBERGER, T. – VAN GRIENSVEN, M. – MARLOVITS, S. – REDL, H. An in vivo mouse model for human cartilage regeneration. In Journal of Tissue Engineering and Regenerative Medicine, 2008, vol. 2, no. 4, p. 202-209.

Citácie z databázy WOS: 1

  1. DE VRIES-VAN MELLE, M.L. – MANDL, E.W. – KOPS, N. – KOEVOET, W.J.L.M. – VERHAAR, J.A.N. – VAN OSCH, G.J.V.M. An osteochondral culture model to study mechanisms involved in articular cartilage repair. In Tissue Engineering Part C-Methods, 2012, vol. 18, no. 1, p. 45-53.

 

  • SCHWARZ, K. – PIZZINI, A. – ARENDACKÁ, Barbora – ZERLAUTH, K. – FILIPIAK, W. – SCHMID, A. – DZIEN, A. – NEUNER, S. – LECHLEITNER, M. – SCHOLL-BÜRGI, S. – MIEKISCH, W. – SCHUBERT, J. – UNTERKOFLER, K. – WITKOVSKÝ, Viktor – GASTL, G. – AMANN, A. Breath acetone – aspects of normal physiology related to age and gender as determined in a PTR-MS study. In Journal of Breath Research, 2009, vol. 3, p. 027003.

Citácie z databázy WOS: 3

  1. FELICE, C. – LEIN, G. – SANTHANAM, K.S.V. – FULLER, L. A new diagnostic sensor for acetone in urine. In Materials Express, 2011, vol. 1, no. 3, p. 219-224.
  2. HALBRITTER, S. – FEDRIGO, M. – HOELLRIEGL, V. – SZYMCZAK, W. – MAIER, J.M. – ZIEGLER, A.-G. – HUMMEL, M. Human breath gas analysis in the screening of gestational diabetes mellitus. In Diabetes Technology & Therapeutics, 2012, vol. 14, no. 10, p. 917-925.
  3. JIANG, C. – ZHANG, P. Indoor carbonyl compounds in an academic building in Beijing, China: Concentrations and influencing factors. In Frontiers of Environmental Science & Engineering, 2012, vol. 6, no. 2, p. 184-194.

 

  • SKÁKALA, M. – ZRUBEC, VladimírMAŇKA, Ján. Active compensation for ambient magnetic noise in the unshielded environment. In Measurement Science and Technology, 1993, vol. 4, no. 3, p. 468-472.

Citácie z databázy WOS: 1

  1. QIU, L. – LIU, Ch. – DONG, H. – XU, L. – ZHANG, Y. – KRAUSE, H.-J. – XIE, X. Magnetic field improved ULF-NMR measurement in an unshielded laboratory using a low-Tc SQUID. In Superconductivity Centennial Conference 2011. 2012, vol. 36, p. 388-393.

 

  • STADNIK, T.W. – CHASKIS, C. – MICHOTTE, A. – SHABANA, W.M. – VAN ROMPAEY, K. – LUYPAERT, R. – BUDINSKÝ, ĽubošJELLÚŠ, Vladimír – OSTEAUX, M. Diffusion-weighted MR imaging of intracerebral masses: comparison with conventional MR imaging and histologic findings. In American Journal of Neuroradiology, 2001, vol. 22, p. 969-976.

Citácie z databázy WOS: 10

  1. VAN CAUTER, S. – VERAART, J. – SIJBERS, J. – PEETERS, R.R. – HIMMELREICH, U. – DE KEYZER, F. – VAN GOOL, S.W. – VAN CALENBERGH, F. – DE VLEESCHOUWER, S. – VAN HECKE, W. – SUNAERT, S. Gliomas: Diffusion kurtosis MR imaging in grading. In Radiology, 2012, vol. 263, no. 2, p. 492-501.
  2. HILARIO, A. – RAMOS, A. – PEREZ-NUNEZ, A. – SALVADOR, E. – MILIAN, J. M. – LAGARES, A. – SEPULVEDA, J. M. – GONZALEZ-LEON, P. – HERNANDEZ-LAIN, A. – RICOY, J. R. The added value of apparent diffusion coefficient to cerebral blood volume in the preoperative grading of diffuse gliomas. In American Journal of Neuroradiology, 2012, vol. 33, no. 4, p. 701-707.
  3. BARAJAS, R.F., Jr. – PHILLIPS, J.J. – PARVATANENI, R. – MOLINARO, A. – ESSOCK-BURNS, E. – BOURNE, G. – PARSA, A.T. – AGHI, M.K. – MCDERMOTT, M.W. – BERGER, M.S. – CHA, S. – CHANG, S.M. – NELSON, S.J. Regional variation in histopathologic features of tumor specimens from treatment-naive glioblastoma correlates with anatomic and physiologic MR Imaging. In Neuro-Oncology, 2012, vol. 14, no. 7, p. 942-954.
  4. CAROLINE, I. – ROSENTHAL, M. A. Imaging modalities in high-grade gliomas: Pseudoprogression, recurrence, or necrosis? In Journal of Clinical Neuroscience, 2012, vol. 19, no. 5, p. 633-637.
  5. WRIGHT, P.W. – HEAPS, J.M. – SHIMONY, J.S. – THOMAS, J.B. – ANCES, B.M. The effects of HIV and combination antiretroviral therapy on white matter integrity. In AIDS, 2012, vol. 26, no. 12, p. 1501-1508.
  6. ABOU ZEID, N. – PIRKO, I. – ERICKSON, B. – WEIGAND, S. D. – THOMSEN, K. M. – SCHEITHAUER, B. – PARISI, J. E. – GIANNINI, C. – LINBO, L. – LUCCHINETTI, C. F. Diffusion-weighted imaging characteristics of biopsy-proven demyelinating brain lesions. In Neurology, 2012, vol. 78, no. 21, p. 1655-1662.
  7. ZACH, L. – GUEZ, D. – LAST, D. – DANIELS, D. – GROBER, Y. – NISSIM, O. – HOFFMANN, Ch. – NASS, D. – TALIANSKI, A. – SPIEGELMANN, R. – COHEN, Z.R. – MARDOR, Y. Delayed contrast extravasation MRI for depicting tumor and non-tumoral tissues in primary and metastatic brain tumors. In PLoS One, 2012, vol. 7, no. 12.
  8. MAHTA, A. – KAASAM, S. – KESARI, S. Ischemic stroke appearing as a tumor. In Translational Neuroscience, 2012, vol. 3, no. 3, p. 303-304.
  9. ALAM, M.S. – SAJJAD, Z. – AZEEMUDDIN, M. – KHAN, Z.A. – MUBARAK, F. – AKHTAR, W. Diffusion weighted MR imaging of ring enhancing brain lesions. In JCPSP-Journal of the College of Physicians and Surgeons Pakistan, 2012, vol. 22, no. 7, p. 428-431.
  10. SASAKI, T. – KURODA, M. – KATASHIMA, K. – ASHIDA, M. – MATSUZAKI, H. – ASAUMI, J. – MURAKAMI, J. – OHNO, S. – KATO, H. – KANAZAWA, S. In Vitro assessment of factors affecting the apparent diffusion coefficient of ramos cells using bio-phantoms. In Acta Medica Okayama, 2012, vol. 66, no. 3, p. 263-270.

Citácie z databázy SCOPUS: 3

  1. OIE, Y. – MURAYAMA, K. – NAGAHISA, S. – ABE, M. – TOYAMA, H. – KATADA, K. Primary central nervous system lymphoma with lateral ventricle involvement. In Open Medical Imaging Journal, 2012, vol. 6, p. 103-107.
  2. WANG, Y.-L. – LIU, M.-Y. – LI, J.-F. – ZHANG, J. – SUN, L. – FENG, F. – MA, L. Application value of apparent diffusion coefficient in differentiation of brain radiation-injuries and glioma recurrence. In Acta Academiae Medicinae Sinicae, 2012, vol. 34, no. 4, p. 396-400.
  3. KHEDR, S.A. – HASSAAN, M.A. – REFAAT, A. The diagnostic value of diffusion weighted imaging in patients with meningioma. In Egyptian Journal of Radiology and Nuclear Medicine, 2012, vol. 43, no. 2, p. 249-256.

 

  • STEIN, G.J. – CHMÚRNY, R. – ROSÍK, Vladimír. Compact vibration measuring system for in-vehicle applications. In Measurement Science Review, 2011, vol. 11, no. 5, p. 154-159.

Citácie z databázy WOS: 2

  1. VENKATESH, K.A. – MATHIVANAN, N. Design of MEMS accelerometer based acceleration measurement system for automobiles. In Measurement Science Review, 2012, vol. 12, no. 5, p. 189-194.
  2. JENA, D.P. – SINGH, M. – KUMAR, R. Radial ball bearing inner race defect width measurement using analytical wavelet transform of acoustic and vibration signal. In Measurement Science Review, 2012, vol. 12, no. 4, p. 141-148.

 

  • STEIN, G.J. – CHMÚRNY, R. – ROSÍK, Vladimír. Measurement of low frequency vibration. In Measurement Science Review, 2007, vol. 7, p. 47-50.

Citácie z databázy WOS: 1

  1. VENKATESH, K.A. – MATHIVANAN, N. Design of MEMS accelerometer based acceleration measurement system for automobiles. In Measurement Science Review, 2012, vol. 12, no. 5, p. 189-194.

 

  • ŠRÁMEK, Miloš – KAUFMAN, A. Alias-free voxelization of geometric objects. In IEEE Transactions on Visualization and Computer Graphics, 1999, vol. 5, no. 3, p. 251-266.

Citácie z databázy WOS: 1

  1. AUZINGER, T. – GUTHE, M. – JESCHKE, S. Analytic anti-aliasing of linear functions on polytopes. In Computer Graphics Forum, 2012, vol. 31, no. 2, 1, p. 335-344.

 

  • ŠRÁMEK, Miloš – KAUFMAN, A. Fast ray-tracing of rectilinear volume data using. In IEEE Transactions on Visualization and Computer Graphics, 2000, vol. 6, no. 3, p. 236-252.

Citácie z databázy WOS: 1

  1. QIU, F. – HONG, W. Nonlinear ray tracing for vessel enhanced visualization. In Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and Modeling. 2012, vol. 8316.

 

  • ŠTOLC, Svorad – BAJLA, I. Application of the computational intelligence network based on Hierarchical Temporal Memory to face recognition. In Artificial Intelligence and Applications (AIA 2010) : 10th IASTED International Conference. ACTA Press, 2010, p. 185-192.

Citácie z databázy WOS: 1

  1. RODRIGUEZ-COBO, L. – GARCIA-ALLENDE, P.B. – COBO, A. – LOPEZ-HIGUERA, J.M. – CONDE, O.M. Raw material classification by means of hyperspectral imaging and hierarchical temporal memories. In IEEE Sensors Journal, 2012, vol. 12, no. 9, p. 2767-2775.

 

  • ŠTOLC, Svorad – BAJLA, I. On the optimum architecture of the biologically inspired hierarchical temporal memory model applied to the hand-written digit recognition. In Measurement Science Review, 2010, vol. 10, no. 2, p. 28-49.

Citácie z databázy WOS: 2

  1. GABRIELSSON, P. – KONIG, R. – JOHANSSON, U. Hierarchical temporal memory-based algorithmic trading of financial markets. In 2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFER). 2012, p. 141-148.
  2. RODRIGUEZ-COBO, L. – BEATRIZ GARCIA-ALLENDE, P. – COBO, A. – MIGUEL LOPEZ-HIGUERA, J. – CONDE, O.M. Raw material classification by means of hyperspectral imaging and hierarchical temporal memories. In IEEE Sensors Journal, 2012, vol. 12, no. 9, p. 2767-2775.

Citácie z databázy SCOPUS: 1

  1. CHEN, X. – WANG, W. – LI, W. An overview of Hierarchical Temporal Memory: A new neocortex algorithm. In International Conference on Modelling, Identification and Control (ICMIC 2012). 2012, art. no. 6260285, p. 1004-1010.

 

  • ŠTRBÁK, Oliver – KOPČANSKÝ, P. – FROLLO, Ivan. Biogenic magnetite in humans and new magnetic resonance hazard questions. In Measurement Science Review, 2011, vol. 11, no. 3, p. 85-91.

Citácie z databázy WOS: 2

  1. TUCEK, P. – TUCKOVA, M. – FISEROVA, E. – TUCEK, J. – KUBACEK, L. Design of experiment for measurement of langevin function. In Measurement Science Review, 2012, vol. 12, no. 4, p. 121-127.
  2. SMIRG, O. – LIBERDA, O. – SMEKAL, Z. – SPRLAKOVA-PUKOVA, A. MRI slice segmentation and 3D modelling of temporomandibular joint measured by microscopic coil. In Measurement Science Review, 2012, vol. 12, no. 3, p. 74-81.

 

  • ŠUŠMÁKOVÁ, Kristína. Correlation dimension versus fractal exponent during sleep onset. In Measurement Science Review, 2006, vol. 6, no. 4, p. 58-62.

Citácie z databázy WOS: 1

  1. GOUPIL, L. – BEKINSCHTEIN, T.A. Cognitive processing during the transition to sleep. In Archives Italiennes de Biologie, 2012, vol. 150, no. 2-3, SI, p. 140-154.

 

  • ŠUŠMÁKOVÁ, KristínaKRAKOVSKÁ, Anna. Classification of waking, sleep onset and deep sleep by single measures. In Measurement Science Review, 2007, vol. 7, no. 3, p. 34-38.

Citácie z databázy WOS: 1

  1. KUO, T.B.J. – CHEN, C.Y. – HSU, Y.C. – YANG, C.C.H. Performance of the frequency domain indices with respect to sleep staging. In Clinical Neurophysiology, 2012, vol. 123, no. 7, p. 1338-1345.

 

  • ŠUŠMÁKOVÁ, KristínaKRAKOVSKÁ, Anna. Discrimination ability of individual measures used in sleep stages classification. In Artificial Intelligence in Medicine, 2008, vol. 44, p. 261-277.

Citácie z databázy WOS: 10

  1. ADNANE, M. – JIANG, Z. – YAN, Z. Sleep-wake stages classification and sleep efficiency estimation using single-lead electrocardiogram. In Expert Systems with Applications, 2012, vol. 39, no. 1, p. 1401-1413.
  2. BENSON, E. R. – ALPHIN, R. L. – RANKIN, M. K. – CAPUTO, M. P. – KINNEY, C. A. – JOHNSON, A. L. Evaluation of EEG based determination of unconsciousness vs. loss of posture in broilers. In Research in Veterinary Science, 2012, vol. 93, no. 2, p. 960-964.
  3. KOLEY, B. – DEY, D. An ensemble system for automatic sleep stage classification using single channel EEG signal. In Computers in Biology and Medicine, 2012, vol. 42, no. 12, p. 1186-1195.
  4. LIANG, S.-F. – KUO, Ch.-E. – HU, Y.-H. – PAN, Y.-H. – WANG, Y.-H. Automatic stage scoring of single-channel sleep EEG by using multiscale entropy and autoregressive models. In IEEE Transactions on Instrumentation and Measurement, 2012, vol. 61, no. 6, p. 1649-1657.
  5. KULAICHEV, A. P. Comparative analysis of EEG correlation synchronism and EEG amplitude relationships in all-night sleep. In Zhurnal vysshei nervnoi deyatelnosti imeni IP Pavlova, 2012, vol. 62, no. 1, p. 108-119.
  6. BENSON, E. R. – ALPHIN, R. L. – RANKIN, M. K. – CAPUTO, M. P. – JOHNSON, A. L. Electroencephalogram-based methodology for determining unconsciousness during depopulation. In Avian Diseases, 2012, vol. 56, no. 4, p. 884-890.
  7. KALAUZI, A. – VUCKOVIC, A. – BOJIC, T. EEG alpha phase shifts during transition from wakefulness to drowsiness. In International Journal of Psychophysiology, 2012, vol. 86, no. 3, p. 195-205.
  8. FRAIWAN, L. – LWEESY, K. – KHASAWNEH, N. – WENZ, H. – DICKHAUS, H. Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier. In Computer Methods and Programs in Biomedicine, 2012, vol. 108, no. 1, p. 10-19.
  9. GOUPIL, L. – BEKINSCHTEIN, T. A. Cognitive processing during the transition to sleep. In Archives Italiennes de Biologie, 2012, vol. 150, no. 2-3, SI, p. 140-154.
  10. HERMAWAN, I. – ALVISSALIM, M.S. – TAWAKAL, M.I. – JATMIKO, W. An integrated sleep stage classification device based on electrocardiograph signal. In ICACSIS 2012 : International Conference on Advanced Computer Science and Information Systems. 2012, p. 37-41.

Citácie z databázy SCOPUS: 1

  1. DURSUN, M. – GUNES, S. – OZSEN, S. – YOSUNKAYA, S. Comparison of artificial immune clustering with fuzzy C-means clustering in the sleep stage classification problem. In INISTA 2012 – International Symposium on Innovations in Intelligent Systems and Applications, 2012, art. no. 6246976.

 

  • ŠUŠMÁKOVÁ, KristínaKRAKOVSKÁ, Anna. Selection of measures for sleep stages classification. In MEASUREMENT 2009 : 7th International Conference on Measurement. Bratislava : Institute of Measurement Science SAS, 2009, p. 86-89.

Citácie z databázy WOS: 2

  1. KUO, T.B.J. – CHEN, C.Y. – HSU, Y.C. – YANG, C.C.H. Performance of the frequency domain indices with respect to sleep staging. In Clinical Neurophysiology, 2012, vol. 123, no. 7, p. 1338-1345.
  2. KULAICHEV, A. P. Comparative analysis of EEG correlation synchronism and EEG amplitude relationships in all-night sleep. In Zhurnal vysshei nervnoi deyatelnosti imeni IP Pavlova, 2012, vol. 62, no. 1, p. 108-119.

 

  • ŠUŠMÁKOVÁ, Kristína. Human sleep and sleep EEG. In Measurement Science Review, 2004, vol. 4, p. 59-74.

Citácie z databázy WOS: 9

  1. ZHANG, L.M. – LI, H. – WEI, Y.T. Sleep spindle detection using a novel instantaneous frequency definition. In Mathematical Methods in the Applied Sciences, 2012, vol. 35, no. 17, SI, p. 2101-2110.
  2. FRAIWAN, L. – LWEESY, K. – KHASAWNEH, N. – WENZ, H. – DICKHAUS, H. Automated sleep stage identification system based on time-frequency analysis of a single EEG channel and random forest classifier. In Computer Methods and Programs in Biomedicine, 2012, vol. 108, no. 1, p. 10-19.
  3. PAN, S.T. – KUO, C.E. – ZENG, J.H. – LIANG, S.F. A transition-constrained discrete hidden Markov model for automatic sleep staging. In Biomedical Engineering Online, 2012, vol. 11.
  4. WU, M.F. – WEN, C.Y. Distributed cooperative sensing scheme for wireless sleep EEG measurement. In IEEE Sensors Journal, 2012, vol. 12, no. 6.
  5. SHENG, H. – CHEN, Y.Q. – QIU, T.S. Multifractional property analysis of human sleep EEG signals. In International Journal of Bifurcation and Chaos, 2012, vol. 22, no. 4.
  6. AKSAHIN, M. – AYDIN, S. – FIRAT, H. – EROGUL, O. Artificial apnea classification with quantitative sleep EEG synchronization. In Journal of Medical Systems, 2012, vol. 36, no. 1, p. 139-144.
  7. JANJARASJITT, S. Examination of temporal characteristic of sleep EEG subbands based on the local min-max. In 5th Biomedical Engineering International Conference (BMEICON 2012). 2012.
  8. SHENG, H. – CHEN, Y.Q. – QIU, T.S. Fractional processes and fractional-order signal processing: Techniques and applications. In Fractional Processes and Fractional-Order Signal Processing: Techniques and Applications. 2012, p. 1-295.
  9. ABBATE, S. – AVVENUTI, M. – LIGHT, J. MIMS: A minimally invasive monitoring sensor platform. In IEEE Sensors Journal, 2012, vol. 12, no. 3, art. no. 5762310, p. 677-684.

Citácie z databázy SCOPUS: 2

  1. MCEACHRON, D. Chronobioengineering: Introduction to Biological Rhythms with Applications. 2012, Vol. 1.
  2. BOUTOPOULOU, B. – MATZIOU, V. Neonatal sleep in the neonatal intensive care unit. In Nosileftiki, 2012, vol. 51, no. 2, p. 160-168.

 

  • TEPLAN, Michal. Audio-visual stimulation and relaxation, linear and nonlinear EEG measures. Dizertačná práca. Bratislava : Ústav merania SAV, 2006.

Citácie z databázy WOS: 1

  1. SULAIMAN, N. – TAIB, M.N. – LIAS, S. – MURAT, Z.H. – MUSTAFA, M. – ARIS, S.A.M. – RASHID, N.A. Electroencephalogram-based stress index. In Journal of Medical Imaging and Health Informatics, 2012, vol. 2, no. 3, p. 327-335.

 

  • TEPLAN, Michal. Fundamentals of EEG measurement. In Measurement Science Review, 2002, vol. 2, p. 1-11.

Citácie z databázy WOS: 24

  1. PAULRAJ, M.P. – BIN YACCOB, S. – BIN ADORN, A.H. – SUBRAMANIAM, K. – HEMA, C.R. EEG based estimation of hearing frequency perception by artificial neural networks. In IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). 2012.
  2. SULAIMAN, N. – TAIB, M.N. – LIAS, S. – MURAT, Z.H. – MUSTAFA, M. – ARIS, S.A.M. – RASHID, N.A. Electroencephalogram-based stress index. In Journal of Medical Imaging and Health Informatics, 2012, vol. 2, no. 3, p. 327-335.
  3. WANG, L.F. – LIU, J.Q. – YANG, B. – YANG, C.S. PDMS-based low cost flexible dry electrode for long-term EEG measurement. In IEEE Sensors Journal, 2012, vol. 12, no. 9, p. 2898-2904.
  4. DALY, I. – NASUTO, S.J. – WARWICK, K. Brain computer interface control via functional connectivity dynamics. In Pattern Recognition, 2012, vol. 45, no. 6, p. 2123-2136.
  5. VYSATA, O. – KUKAL, J. – PROCHAZKA, A. – PAZDERA, L. – VALIS, M. Age-related changes in the energy and spectral composition of EEG. In Neurophysiology, 2012, vol. 44, no. 1, p. 63-67.
  6. PEDROSA, P. – ALVES, E. – BARRADAS, N.P. – FIEDLER, P. – HAUEISEN, J. – VAZ, F. – FONSECA, C. TiNx coated polycarbonate for bio-electrode applications. In Corrosion Science, 2012, vol. 56, p. 49-57.
  7. NICOLAS-ALONSO, L.F. – GOMEZ-GIL, J. Brain computer interfaces, a review. In Sensors, 2012, vol. 12, no. 2, p. 1211-1279.
  8. HARON, M.H. – TAIB, M.N. – ALI, M.S.A.M. – YUNUS, M.M. – JALIL, S.Z.A. Gender classification based on human radiation frequencies of chakra points and brain regions. In IEEE International Conference on Electronics Design, Systems and Applications (ICEDSA 2012). 2012, p. 188-193.
  9. AWANG, S.A. – PAULRAJ, M.P. – YAACOB, S. Analysis of EEG signals by eigenvector methods. In IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). 2012.
  10. FADZAL, C.W.N.F.C.W. – MANSOR, W. – LEE, K.Y. – MOHAMAD, S. – MOHAMAD, N. – AMIRIN, S. Comparison between characteristics of EEG signal generated from dyslexic and normal children. In IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). 2012.
  11. RAHMAN, K.A.A. – IBRAHIM, B.S.K.K. – LEMAN, A.M. – JAMIL, M.M.A. Fundamental study on brain signal for BCI-FES system development. In IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES). 2012.
  12. MAURER, A. – MIAO, L.F. – ZHANG, J.J. – KOVVALI, N. – PAPANDREOU-SUPPAPPOLA, A. – CHAKRABARTI, C. EEG/MEG artifact suppression for improved neural activity estimation. In Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR). 2012, p. 1646-1650.
  13. FADZAL, C.W.N.F.C.W. – MANSOR, W. – LEE, K.Y. – MOHAMAD, S. – AMIRIN, S. Frequency analysis of EEG signal generated from dyslexic children. In IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE 2012). 2012.
  14. HASSAN, H. – MURAT, Z.H. – ROSS, V. – BUNIYAMIN, N. A Preliminary study on the effects of music on human brainwaves. In International Conference On Control, Automation and Information Sciences (ICCAIS). 2012, p. 176-180.
  15. SEN GUPTA, S. – SOMAN, S. – RAJ, P.G. – PRAKASH, R. – SAILAJA, S. – BORGOHAIN, R. Detecting eye movements in EEG for controlling devices. In IEEE International Conference on Computational Intelligence and Cybernetics. 2012, p. 69-73.
  16. JUNG, H.S. – SEO, B.H. Reducing interference of involuntary movements in EEG signal analysis. In Mechatronics and Information Technology, 2012, vol. 2-3, p. 257-260.
  17. KIM, D.G. – HONG, K.S. – CHUNG, K.W. Implementation of portable multi-channel EEG and head motion signal acquisition system. In 8th International Conference on Computing and Networking Technology (ICCNT, INC, ICCIS AND ICMIC). 2012, p. 370-375.
  18. REYES, C.E. – RUGAYAN, J.L.C. – RULLAN, C.J.G. – OPPUS, C.M. – TANGONAN, G.L. A study on ocular and facial muscle artifacts in EEG signals for BCI applications. In TENCON 2012 – IEEE Region 10 Conference: Sustainable Development Through Humanitarian Technology. 2012.
  19. HAYASHI, Y. – NAGAI, K. – ITO, K. – NASUTO, S.J. – LOUREIRO, R.C.V. – HARWIN, W.S. A feasible study of EEG-driven assistive robotic system for stroke rehabilitation. In 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BIOROB). 2012, p. 1733-1739.
  20. MALIK, A.S. – FAWZY, S.M. – OSMAN, D.A. – KHAIRUDDIN, R.N.H.R. Effect of movie clips on human brain. In 4th International Conference on Intelligent and Advanced Systems (ICIAS), 2012, p. 95-99.
  21. CHOJNOWSKI, K. – FRACZEK, J. EEG signal classification based on artificial neural networks and amplitude spectra features. In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2012. 2012, vol. 8454.
  22. AYDEMIR, O. – POURZARE, S. – KAYIKCIOGLU, T. Classifying various EMG and EOG artifacts in EEG signals. In Przeglad Elektrotechniczny, 2012, vol. 88, no. 11A.
  23. POURZARE, S. – AYDEMIR, O. – KAYIKCIOGLU, T. Classification of various facial movement artifacts in EEG signals. In 35th International Conference on Telecommunications and Signal Processing (TSP). 2012, p. 529-533.
  24. AUREGUI-LOBERA, I. Electroencephalography in eating disorders. In Neuropsychiatric Disease and Treatment, 2012, vol. 8, p. 1-11.

Citácie z databázy SCOPUS: 25

  1. KASSIM, R.A. – IBRAHIM, A.S. – BUNIYAMIN, N. – MURAT, Z.H. Analysis of human’s brainwave pattern among active and inactive person. In International Conference on System Engineering and Technology (ICSET 2012). 2012, art. no. 6339328.
  2. LUO, Y. – SHEN, Y. Mind-controlled micro-biomanipulation with position sensing feedback: System integration and validation. In IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. 2012, art. no. 6343029, p. 293-298.
  3. KIM, D.-G. – OH, B.-H. – KWON, H.-J. – CHUNG, K.-W. – HONG, K.-S. A study on analysis of correlation characteristics of EEG channels by five senses stimulation. In International Conference on Artificial Intelligence (ICAI 2012). 2012, vol. 2, p. 1029-1033.
  4. ADNAN, N. – MURAT, Z.H. – ABDUL KADIR, R.S.S. – MOHAMAD YUNOS, N.H. University students stress level and brainwave balancing index: Comparison between early and end of study semester. In SCOReD 2012 – IEEE Student Conference on Research and Development. 2012, art. no. 6518608, p. 42-47.
  5. EL-KISHKY, A. Assessing entropy and fractal dimensions as discriminants of seizures in EEG time series. In 11th International Conference on Information Science, Signal Processing and Their Applications (ISSPA 2012). 2012, art. no. 6310687, p. 92-96.
  6. MALIK, A.S. – PAUZI, A.A. – OSMAN, D.A. – KHAIRUDDIN, R.N.H.R. Disparity in brain dynamics for video games played on small and large displays. In SHUSER 2012 – IEEE Symposium on Humanities, Science and Engineering Research. 2012, art. no. 6268785, p. 1067-1071.
  7. BALAIAH, P. – ILAVENNILA. Comparative evaluation of adaptive filter and neuro-fuzzy filter in artifacts removal from Electroencephalogram signal. In American Journal of Applied Sciences, 2012, vol. 9, no. 10, p. 1583-1593.
  8. FUAD, N. – JAILANI, R. – OMAR, W.R.W. – JAHIDIN, A.H. – TAIB, M.N. Three dimension 3D signal for electroencephalographic (EEG). In IEEE Control and System Graduate Research Colloquium (ICSGRC 2012). 2012, art. no. 6287173, p. 262-266.
  9. JAHIDIN, A.H. – TAIB, M.N. – TAHIR, N. – MEGAT ALI, M.S.A. – LIAS, S. – FUAD, N. – OMAR, W.R.W. Brainwave sub-band power ratio characteristics in intelligence assessment. In IEEE Control and System Graduate Research Colloquium (ICSGRC 2012). 2012, art. no. 6287184, p. 318-321.
  10. QASSIM, Y.T. – CUTMORE, T. – JAMES, D. – ROWLANDS, D. FPGA implementation of Morlet continuous wavelet transform for EEG analysis. In International Conference on Computer and Communication Engineering (ICCCE 2012). 2012, art. no. 6271152, p. 59-64.
  11. KUKUCKA, M. – KRAJCUSKOVA, Z. The frequency and the shape of driving signal influence in measurement of the active points. In Advances in Electrical and Electronic Engineering, 2012, vol. 10, no. 3, p. 181-186.
  12. COLMAN, J. – GNANAYUTHAM, P. Accessible button interfaces: Improving accessibility for brain-injured and other disabled users. In International Journal of Web-Based Learning and Teaching Technologies, 2012, vol. 7, no. 4, p. 40-52.
  13. KHALIFA, W. – SALEM, A. – ROUSHDY, M. – REVETT, K. A survey of EEG based user authentication schemes. In 8th International Conference on Informatics and Systems (INFOS 2012). 2012, art. no. 6236530, p. BIO55-BIO60.
  14. ATYABI, A. – POWERS, D.M.W. The impact of segmentation and replication on non-overlapping windows: An EEG study. In IEEE International Conference on Information Science and Technology (ICIST 2012). 2012, art. no. 6221730, p. 668-674.
  15. CHE WAN FADZAL, C.W.N.F. – KHUAN, L.Y. – MANSOR, W. Frequency content analysis of brainwave C3 and P3 for dyslexia related writing disorder. In IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). 2012, art. no. 6211574, p. 309-312.
  16. VAKILI, S. – TEHRANCHIAN, N. – TAJZIEHCHI, M. – MOHAMMAD REZAZADEH, I. – WANG, X. An empirical study on the relations between EEG alpha-beta entropy & EQ- IQ test scores. In IEEE-EMBS International Conference on Biomedical and Health Informatics: Global Grand Challenge of Health Informatics (BHI 2012). 2012, art. no. 6211572, p. 301-304.
  17. ALHADDAD, M.J. – KAMEL, M. – MALIBARY, H. – THABIT, K. – DAHLWI, F. – HADI, A. P300 speller efficiency with common average reference. In Lecture Notes in Computer Science 7326, p. 234-241.
  18. KIM, D.-G. – ROH, Y.-W. – HONG, K.-S. A portable EEG signal acquisition systém. In Advanced Science Letters, 2012, vol. 14, no. 1, p. 222-226.
  19. ARAÚJO, T. – NUNES, N. – QUINTAO, C. – GAMBOA, H. Localized electroencephalography sensor and detection of evoked potentials. In 2nd International Workshop on Computing Paradigms for Mental Health (MINDCARE 2012). 2012, p. 41-46.
  20. SULAIMAN, N. – TAIB, M.N. – LIAS, S. – MURAT, Z.H. – MOHD ARIS, S.A. – MUSTAFA, M. – RASHID, N.A. Development of EEG-based stress index. In International Conference on Biomedical Engineering (ICOBE 2012). 2012, art. no. 6179059, p. 461-466.
  21. ZULKURNAINI, N.A. – KADIR, R.S.S.A. – MURAT, Z.H. – ISA, R.M. The comparison between listening to Al-Quran and listening to classical music on the brainwave signal for the alpha band. In 3rd International Conference on Intelligent Systems Modelling and Simulation (ISMS 2012). 2012, art. no. 6169696, p. 181-186.
  22. ISA, R.M. – PASYA, I. – TAIB, M.N. High frequency brainwaves comparison due to mobile phone radiofrequency emission. In In 3rd International Conference on Intelligent Systems Modelling and Simulation (ISMS 2012). 2012, art. no. 6169698, p. 191-196.
  23. KADIR, R.S.S.A. – ALIYASAK, N.A. – MURAT, Z.H. – JAILANI, R. Preliminary study: The comparison between hands-free and handheld 3G mobile phone on alpha brainwave. In 3rd International Conference on Intelligent Systems Modelling and Simulation (ISMS 2012). 2012, art. no. 6169699, p. 197-202.
  24. GARG, G. – SINGH, V. – GUPTA, J.R.P. – MITTAL, A.P. Wrapper based wavelet feature optimization for EEG signals. In Biomedical Engineering Letters, 2012, vol. 2, no. 1, p. 24-37.
  25. PAULCHAMY, B. – ILAVENNILA – JAYA, J. A qualitative analysis of independent component analysis based algorithms for the removal of artifacts from electroencephalography signals. In Journal of Computer Science, 2012, vol. 8, no. 3, p. 287-295.

 

  • TEPLAN, MichalKRAKOVSKÁ, AnnaŠTOLC, Svorad. EEG in the context of audiovisual stimulation. In Measurement Science Review, 2003, vol. 3, p. 17-20.

Citácie z databázy SCOPUS: 1

  1. DANG, Y., SHU, W., CAO, H. Dimensional complexity distribution on scalp of visual evoked potentials. In International Conference on Biomedical Engineering and Biotechnology (ICBEB 2012). 2012, art. no. 6245083, p. 172-174.

 

  • TEPLAN, MichalKRAKOVSKÁ, AnnaŠTOLC, Svorad. EEG responses to long-term audio-visual stimulation. In International Journal of Psychophysiology, 2006, vol. 59, p. 81-90.

Citácie z databázy WOS: 2

  1. DE ZAMBOTTI, M. – BIANCHIN, M. – MAGAZZINI, L. – GNESATO, G. – ANGRILLI, A. The efficacy of EEG neurofeedback aimed at enhancing sensory-motor rhythm theta ratio in healthy subjects. In Experimental Brain Research, 2012, vol. 221, no. 1, p. 69-74.
  2. SANCHEZ, D.I. – COLLINS, T. – STONE, R. Effect of 10 and 20 Hz photic stimulation on stress and temperature of the fingers. In IEEE Symposium on Computer Applications and Industrial Electronics (ISCAIE 2012). 2012.

 

  • TEPLAN, MichalKRAKOVSKÁ, AnnaŠTOLC, Svorad. Direct effects of audio-visual stimulation on EEG. In Computer Methods and Programs in Biomedicine, 2011, vol. 102, no. 1, p. 17-24.

Citácie z databázy WOS: 1

  1. WU, J.-H. – CHANG, W.-D. – HSIEH, Ch.-W. – JIANG, J.-A. – FANG, W. – SHAN, Y.-Ch. – CHANG, Y.-Ch. Effect of low-level laser stimulation on EEG. In Evidence-Based Complementary and Alternative Medicine. 2012.

 

  • TEPLAN, MichalKRAKOVSKÁ, AnnaŠTOLC, Svorad. Short-term effects of audio-visual stimulation on EEG. In Measurement Science Review, 2006, vol. 6, no. 4, p. 67-70.

Citácie z databázy SCOPUS: 1

  1. ISA, R.M. – PASYA, I. – TAIB, M.N. – JAHIDIN, A.H. – OMAR, W.R.W. – FUAD, N. Assessment of brainwave asymmetry and hemisphere dominance due to RF radiation. In EMS 2012 : UKSim-AMSS 6th European Modelling Symposium. 2012, p. 153-157.

 

  • TEPLAN, MichalŠUŠMÁKOVÁ, Kristína – PALUŠ, M. – VEJMELKA, M. Phase synchronization in human EEG during audio-visual stimulation. In Electromagnetic Biology and Medicine, 2009, vol. 28, p. 80-84.

Citácie z databázy SCOPUS: 2

  1. KIM, D.-G. – OH, B.-H. – KWON, H.-J. – CHUNG, K.-W. – HONG, K.-S. A study on analysis of correlation characteristics of EEG channels by five senses stimulation. In International Conference on Artificial Intelligence (ICAI 2012). 2012, vol. 2, p. 1029-1033.
  2. ROMANOV, A.S. – SHAROVA, E.V. – KUZNETSOVA, O.A. – OKNINA, L.B. – VOLYNSKII, P.E. – SHCHEKUTIEV, G.A. Potential of a wavelet synchronization method for assessing the long-latency components of auditory evoked potentials in healthy humans. In Neuroscience and Behavioral Physiology, 2012, vol. 42, no. 6, p. 588-593.

 

  • TIŇO, P. – FARKAŠ, Igor – VAN MOURIK, J.M. Dynamics and topographic organization of recursive self-organizing maps. In Neural Computation, 2006, vol. 18, p. 2529-2567.

Citácie z databázy SCOPUS: 1

  1. LUKOŠEVIČIUS, M. Self-organized reservoirs and their hierarchies. In Lecture Notes in Computer Science 7552, 2012, p. 587-595.

 

  • TOFFANIN, R. – MLYNÁRIK, V. – RUSSO, S. – SZOMOLÁNYI, Pavol – PIRAS, A. – VITTUR, F. Proteoglycan depletion and magnetic resonance parameters of articular cartilage. In Archives of Biochemistry and Biophysics, 2001, vol. 390, no. 2, p. 235-242.

Citácie z databázy WOS: 2

  1. RECUERDA, M. – PERIE, D. – GILBERT, G. – BEAUDOIN, G. Assessment of mechanical properties of isolated bovine intervertebral discs from multi-parametric magnetic resonance imaging. In BMC Musculoskeletal Disorders, 2012, vol. 13.
  2. PINNEY, J.R. – TAYLOR, C. – DOAN, R. – BURGHARDT, A.J. – LI, X.J. – KIM, H.T. – MA, C.B. – MAJUMDAR, S. Imaging longitudinal changes in articular cartilage and bone following doxycycline treatment in a rabbit anterior cruciate ligament transection model of osteoarthritis. In Magnetic Resonance Imaging, 2012, vol. 30, no. 2, p. 271-282.

 

  • TRATTNIG, S. – MARLOVITS, S. – GEBETSROITHER, S. – SZOMOLÁNYI, Pavol – WELSCH, G.H. – SALOMONOWITZ, E. – WANATABE, A. – DEIMLING, M. – 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 – preliminary results. In Journal of Magnetic Resonance Imaging, 2007, vol. 26, no. 4, p. 974-982.

Citácie z databázy WOS: 7

  1. ZILKENS, C. – MIESE, F. – KIM, Y.-J. – HOSALKAR, H. – ANTOCH, G. – KRAUSPE, R. – BITTERSOHL, B. Three-dimensional delayed gadolinium-enhanced magnetic resonance imaging of hip joint cartilage at 3 T: A prospective controlled study. In European Journal of Radiology, 012, vol. 81, no. 11, p. 3420-3425.
  2. CHANG, G. – MADELIN, G. – SHERMAN, O.H. – STRAUSS, E.J. – XIA, D. – RECHT, M.P. – JERSCHOW, A. – REGATTE, R.R. Improved assessment of cartilage repair tissue using fluid-suppressed Na-23 inversion recovery MRI at 7 Tesla: preliminary results. In European Radiology, 2012, vol. 22, no. 6, p. 1341-1349.
  3. SHIRAI, T. – KOBAYASHI, M. – NAKAMURA, S. – ARAI, R. – NISHITANI, K. – SATAKE, T. – DAHLBERG, L.E. – KUROKI, H. – NAKAGAWA, Y. – OKADA, T. – TOGASHI, K. – NAKAMURA, T. Longitudinal evaluation of cartilage after osteochondral autogenous transfer with delayed gadolinium-enhanced MRI of the cartilage (dGEMRIC). In Journal of Orthopaedic Research, 2012, vol. 30, no. 2, p. 221-225.
  4. NIEMINEN, M.T. – NISSI, M.J. – MATTILA, L. – KIVIRANTA, I. Evaluation of chondral repair using quantitative MRI. In Journal of Magnetic Resonance Imaging, 2012, vol. 36, no. 6, p. 1287-1299.
  5. VAN TIEL, J. – SIEBELT, M. – WAARSING, J. H. – PISCAER, T. M. – VAN STRATEN, M. – BOOIJ, R. – DIJKSHOORN, M. L. – KLEINRENSINK, G. J. – VERHAAR, J. A. N. – KRESTIN, G. P. – WEINANS, H. – OEI, E. H. G. CT arthrography of the human knee to measure cartilage quality with low radiation dose. In Osteoarthritis and Cartilage, 2012, vol. 20, no. 7, p. 678-685.
  6. BUCHBENDER, C. – SCHERER, A. – KROEPIL, P. – KOERBL, B. – QUENTIN, M. – REICHELT, D. – LANZMAN, R. – MATHYS, C. – BLONDIN, D. – BITTERSOHL, B. – ZILKENS, C. – HOFER, M. – WITTSACK, H.-J. – SCHNEIDER, M. – ANTOCH, G. – OSTENDORF, B. – MIESE, F. Cartilage quality in rheumatoid arthritis: comparison of T2*mapping, native T1 mapping, dGEMRIC, Delta R1 and value of pre-contrast imaging. In Skeletal Radiology, 2012, vol. 41, no. 6, p. 685-692.
  7. RAEUCHLE, M. – CEMERKA, M. – EIBENBERGER, B. – BREITENSEHER, M. Arthrosis – Update 2012. In Radiologe, 2012, vol. 52, no. 2, p. 149-155.

Citácie z databázy SCOPUS: 1

  1. DAHLBERG, L.E. – LAMMENTAUSTA, E. – TIDERIUS, C.J. – NIEMINEN, M.T. In vivo monitoring of joint cartilage – lessons to be learned by delayed: Gadolinium enhanced magnetic resonance imaging of cartilage. In European Musculoskeletal Review, 2012, vol. 7, no. 1, p. 58-62.

 

  • TRATTNIG, S. – MAMISCH, T.C. – WELSCH, G.H. – GLASER, C. – SZOMOLÁNYI, Pavol – GEBETSROITHER, S. – STASTNY, O. – HORGER, W. – MILLINGTON, S. – MARLOVITS, S. Quantitative T2 mapping of matrix-associated autologous, chondrocyte transplantation at 3 Tesla. In Investigative Radiology, 2007, vol. 42, no. 6, p. 442-448.

Citácie z databázy WOS: 7

  1. CHANG, G. – MADELIN, G. – SHERMAN, O.H. – STRAUSS, E.J. – XIA, D. – RECHT, M.P. – JERSCHOW, A. – REGATTE, R.R. Improved assessment of cartilage repair tissue using fluid-suppressed Na-23 inversion recovery MRI at 7 Tesla: Preliminary results. In European Radiology, 2012, vol. 22, no. 6, p. 1341-1349.
  2. WUCHERER, K.L. – OBER, C.P. – CONZEMIUS, M.G. The use of delayed gadolinium enhanced magnetic resonance imaging of cartilage and T2 mapping to evaluate articular cartilage in the normal canine elbow. In Veterinary Radiology & Ultrasound, 2012, vol. 53, no. 1, p. 57-63.
  3. NIEMINEN, M.T. – NISSI, M.J. – MATTILA, L. – KIVIRANTA, I. Evaluation of chondral repair using quantitative MRI. In Journal of Magnetic Resonance Imaging, 2012, vol. 36, no. 6, p. 1287-1299.
  4. THEOLOGIS, A.A. – SCHAIRER, W.W. – CARBALLIDO-GAMIO, J. – MAJUMDAR, S. – LI, X. – MA, C.B. Longitudinal analysis of T-1 rho and T-2 quantitative MRI of knee cartilage laminar organization following microfracture surgery. In Knee, 2012, vol. 19, no. 5, p. 652-657.
  5. BUCHBENDER, C. – SCHERER, A. – KROEPIL, P. – KOERBL, B. – QUENTIN, M. – REICHELT, D.Ch. – LANZMAN, R.S. – MATHYS, C. – BLONDIN, D. – BITTERSOHL, B. – ZILKENS, C. – HOFER, M. – WITTSACK, H.-J. – SCHNEIDER, M. – ANTOCH, G. – OSTENDORF, B. – MIESE, F. Cartilage quality in rheumatoid arthritis: comparison of T2*mapping, native T1 mapping, dGEMRIC, Delta R1 and value of pre-contrast imaging. In Skeletal Radiology, 2012, vol. 41, no. 6, p. 685-692.
  6. LUYTEN, F.P. – VANLAUWE, J. Tissue engineering approaches for osteoarthritis. In Bone, 2012, vol. 51, no. 2, SI, p. 289-296.
  7. BRIX, M.O. – CHIARI, C. Cartilage repair [Knorpelregeneration]. In Zeitschrift fur Orthopadie und Unfallchirurgie, 2012, vol. 150, no. 4, p. e121-e142.

 

  • TRATTNIG, S. – MAMISCH, T.C. – PINKER, K. – DOMAYER, S. – SZOMOLÁNYI, Pavol – MARLOVITS, S. – KUTSCHA-LISSBERG, F. – 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 European Radiology, 2008, vol. 18, no. 6, p. 1251-1259.

Citácie z databázy WOS: 3

  1. CHANG, G. – MADELIN, G. – SHERMAN, O.H. – STRAUSS, E.J. – XIA, D. – RECHT, M.P. – JERSCHOW, A. – REGATTE, R.R. Improved assessment of cartilage repair tissue using fluid-suppressed Na-23 inversion recovery MRI at 7 Tesla: Preliminary results. In European Radiology, 2012, vol. 22, no. 6, p. 1341-1349.
  2. VON KEUDELLA, A. – ATZWANGER, J. – FORSTNER, R. – RESCH, H. – HOFFELNER, T. – MAYER, M. Radiological evaluation of cartilage after microfracture treatment: A long-term follow-up study. In European Journal of Radiology, 2012, vol. 81, no. 7, p. 1618-1624.
  3. NIEMINEN, M.T. – NISSI, M.J. – MATTILA, L. – KIVIRANTA, I. Evaluation of chondral repair using quantitative MRI. In Journal of Magnetic Resonance Imaging, 2012, vol. 36, no. 6, p. 1287-1299.

Citácie z databázy SCOPUS: 1

  1. WICK, M.C. – JASCHKE, W. – KLAUSER, A.S. Radiological imaging of osteoarthritis of the knee [Radiologische Bildgebung der niegelenkarthrose]. In Radiologe, 2012, vol. 52, no. 11, p. 994-1002.

 

  • TRATTNIG, S. – BURSTEIN, D. – SZOMOLÁNYI, Pavol – PINKER, K. – WELSCH, G.H. – MAMISCH, T.C. T1(Gd) gives comparable information as Delta T1 relaxation rate in dGEMRIC evaluation of cartilage repair tissue. In Investigative Radiology, 2009, vol. 44, no. 9, p. 598-602.

Citácie z databázy WOS: 2

  1. SHIRAI, T. – KOBAYASHI, M. – NAKAMURA, S. – ARAI, R. – NISHITANI, K. – SATAKE, T. – DAHLBERG, L.E. – KUROKI, H. – NAKAGAWA, Y. – OKADA, T. – TOGASHI, K. – NAKAMURA, T. Longitudinal evaluation of cartilage after osteochondral autogenous transfer with delayed gadolinium-enhanced MRI of the cartilage (dGEMRIC). In Journal of Orthopaedic Research, 2012, vol. 30, no. 2, p. 221-225.
  2. NIEMINEN, M.T. – NISSI, M.J. – MATTILA, L. – KIVIRANTA, I. Evaluation of chondral repair using quantitative MRI. In Journal of Magnetic Resonance Imaging, 2012, vol. 36, no. 6, p. 1287-1299.

 

  • TRATTNIG, S. – STELZENEDER, D. – GOED, S. – REISSEGGER, M. – MAMISCH, T.C. – PATERNOSTRO-SLUGA, T. – WEBER, M. – SZOMOLÁNYI, Pavol – WELSCH, G.H. Lumbar intervertebral disc abnormalities: comparison of quantitative T2 mapping with conventional MR at 3.0T. In European Radiology, 2010, vol. 20, p. 2715-2722.

Citácie z databázy WOS: 1

  1. OBATA, S. – AKEDA, K. – IMANISHI, T. – MASUDA, K. – BAE, W. – MORIMOTO, R. – ASANUMA, Y. – KASAI, Y. – UCHIDA, A. – SUDO, A. Effect of autologous platelet-rich plasma-releasate on intervertebral disc degeneration in the rabbit anular puncture model: A preclinical study. In Arthritis Research & Therapy, 2012, vol. 14, no. 6.

Citácie z databázy SCOPUS: 3

  1. WILKENS, P. – STORHEIM, K. – SCHEEL, I. – BERG, L. – ESPELAND, A. No effect of 6-month intake of glucosamine sulfate on Modic changes or high intensity zones in the lumbar spine: Sub-group analysis of a randomized controlled trial. In Journal of Negative Results in Biomedicine, 2012, vol. 11, no. 1, art. no. 13.
  2. UHL, T.L. – JACOBS, C.A. Torque measures of common therapies for the treatment of loss of knee flexion. In Sports Health, 2012, vol. 4, no. 2, p. 101-106.
  3. KIM, S.-Y. – LEE, I.-S. – KIM, B.-R. – LIM, J.-H. – LEE, J. – KOH, S.-E. – KIM, S.B. – PARK, S.L. Magnetic resonance findings of acute severe lower back pain. In Annals of Rehabilitation Medicine, 2012, vol. 36, no. 1, p. 47-54.

 

  • VALKOVIČ, Ladislav – WINDISCHBERGER, C. Method for geometric distortion correction in fMRI based on three echo planar phase images. In Measurement Science Review, 2010, vol. 10, no. 4, p. 116-119.

Citácie z databázy WOS: 2

  1. MARCON, P. – BARTUSEK, K. – DOKOUPIL, Z. – GESCHEIDTOVA, E. Diffusion MRI: Mitigation of magnetic field inhomogeneities. In Measurement Science Review, 2012, vol. 12, no. 5, p. 205-212.
  2. MIKULKA, J. – GESCHEIDTOVA, E. – BARTUSEK, K. Soft-tissues image processing: Comparison of traditional segmentation methods with 2D active contour methods. In Measurement Science Review, 2012, vol. 12, no. 4, p. 153-161.

 

  • VALKOVIČ, Ladislav – CHMELÍK, M. – KUKUROVA, I.J. – KRŠŠÁK, M. – GRUBER, S. – FROLLO, Ivan – TRATTNIG, S. – BOGNER, W. Time-resolved phosphorous magnetization transfer of the human calf muscle at 3 T and 7 T: A feasibility study. In European Journal of Radiology, 2013, vol. 82, no. 5, p. 745-751.

Citácie z databázy WOS: 1

  1. PARASOGLOU, P. – FENG, L. – XIA, D. – OTAZO, R. – REGATTE, R.R. Rapid 3D-imaging of phosphocreatine recovery kinetics in the human lower leg muscles with compressed sensing. In Magnetic Resonance in Medicine, 2012, vol. 68, no. 6, p. 1738-1746.

 

  • VEJMELKA, M. – PALUŠ, M. – ŠUŠMÁKOVÁ, Kristína. Identification of nonlinear oscillatory activity embedded in broadband neural signals. In International Journal of Neural Systems, 2010, vol. 20, no. 2, p. 117-128.

Citácie z databázy WOS: 3

  1. CHO, B.-H. – JO, J.-S. – JOO, S.-J. – KIM, H. Dynamic parameter identification of secondary mass dampers based on full-scale tests. In Computer-Aided Civil and Infrastructure Engineering, 2012, vol. 27, no. 3, p. 218-230.
  2. SIRCA, G.F., Jr. – ADELI, H. System identification in structural engineering. In Scientia Iranica, 2012, vol. 19, no. 6, p. 1355-1364.
  3. AMIRI, G.G. – RAD, A.A. – AGHAJARI, S. – HAZAVEH, N.K. Generation of near-field artificial ground motions compatible with median-predicted spectra using PSO-based neural network and wavelet analysis. In Computer-Aided Civil and Infrastructure Engineering, 2012, vol. 27, no. 9, SI, p. 711-730.

 

  • VOJTÍŠEK, LubomírFROLLO, IvanVALKOVIČ, LadislavGOGOLA, DanielJURÁŠ, Vladimír. Phased array receiving coils for low field lungs MRI: Design and optimization. In Measurement Science Review, 2011, vol. 11, no. 2, p. 61-66.

Citácie z databázy WOS: 1

  1. SMIRG, O. – LIBERDA, O. – SMEKAL, Z. – SPRLAKOVA-PUKOVA, A. MRI slice segmentation and 3D modelling of temporomandibular joint measured by microscopic coil. In Measurement Science Review, 2012, vol. 12, no. 3, p. 74-81.

 

  • VRŠANSKÝ, P. – CHORVÁT, D. – FRITZSCHE, I. – HAIN, MiroslavŠEVČÍK, Robert. Light-mimicking cockroaches indicate Tertiary origin of recent terrestrial luminescence. In Naturwissenschaften (The Science of Nature), 2012, vol. 99, no. 9, p. 739-749.

Citácie z databázy WOS: 1

  1. WEI, D.D. – SHIH, C.K. – REN, D. Arcofuzia cana gen. et sp n. (Insecta, Blattaria, Fuziidae) from the Middle Jurassic sediments of Inner Mongolia, China. In Zootaxa, 2012, no. 3597, p. 25-32.

 

  • WEIS, JánBUDINSKÝ, Ľuboš. Simulation of the influence of magnetic field inhomogenity and distortion correction in MR imaging. In Magnetic Resonance Imaging, 1990, vol. 8, no. 2, p. 483-489.

Citácie z databázy WOS: 1

  1. DONKER, H.C.W. – KRAEMER, N.A. – OTTO, J. – KLINGE, U. – SLABU, I. – BAUMANN, M. – KUHL, Ch.K. Mapping of proton relaxation near superparamagnetic iron oxide particle-loaded polymer threads for magnetic susceptibility difference quantification. In Investigative Radiology, 2012, vol. 47, no. 6, p. 359-367.

 

  • WELSCH, G.H. – TRATTNIG, S. – SCHEFFLER, K. – SZOMOLÁNYI, Pavol – QUIRBACH, S. – MARLOVITS, S. – DOMAYER, S. – BIERI, O. – MAMISCH, T.C. Magnetization transfer contrast and T2 mapping in the evaluation of cartilage repair tissue with 3T MRI. In Journal of Magnetic Resonance Imaging, 2008, vol. 28, p. 979-986.

Citácie z databázy WOS: 4

  1. NIEMINEN, M.T. – NISSI, M.J. – MATTILA, L. – KIVIRANTA, I. Evaluation of chondral repair using quantitative MRI. In Journal of Magnetic Resonance Imaging, 2012, vol. 36, no. 6, p. 1287-1299.
  2. SCHUELLER-WEIDEKAMM, C. – VON SKRBENSKY, G. Imaging of postarthroscopic complications after knee injuries. In Radiologe, 2012, vol. 52, no. 11, p. 1012-1022.
  3. THEOLOGIS, A.A. – SCHAIRER, W.W. – CARBALLIDO-GAMIO, J. – MAJUMDAR, S. – LI, X. – MA, C.B. Longitudinal analysis of T-1 rho and T-2 quantitative MRI of knee cartilage laminar organization following microfracture surgery. In Knee, 2012, vol. 19, no. 5, p. 652-657.
  4. ROSENKRANTZ, A.B. – STOREY, P. – GILET, A.G. – NIVER, B.E. – BABB, J.S. – HAJDU, C.H. – LEE, V.S. Magnetization transfer contrast-prepared MR imaging of the liver: Inability to distinguish healthy from cirrhotic liver. In Radiology, 2012, vol. 262, no. 1, p. 136-143.

 

  • WIMMER, G. – WITKOVSKÝ, Viktor – DUBY, T. Proper rounding of the measurement results under normality assumptions. In Measurement Science and Technology, 2000, vol. 11, p. 1659-1665.

Citácie z databázy WOS: 1

  1. ANDRIS, P. – FROLLO, I. Measurement of magnetic field with background using a low-field NMR scanner. In Measurement Science & Technology, 2012, vol. 23, no. 6.

 

  • WIMMER, G. – WITKOVSKÝ, Viktor. Between group variance component interval estimation for the unbalanced heteroscedastic one-way random effects model. In Journal of Statistical Computation and Simulation, 2003, vol. 73, no. 5, p. 333-346.

Citácie z databázy WOS: 3

  1. ARENDACKA, B. A note on fiducial generalized pivots for sigma(2)(A) in one-way heteroscedastic ANOVA with random effects. In Statistics, 2012, vol. 46, no. 4, pp. 489-504.
  2. ARENDACKA, B. Approximate interval for the between-group variance under heteroscedasticity. In Journal of Statistical Computation and Simulation, 2012, vol. 82, no. 2, pp. 209-218.
  3. YE, R.-D. – HU, Y.-Q. – LUO, K. Inferences on the among-group variance component in unbalanced heteroscedastic one-fold nested design. In Communications in Statistics – Simulation and Computation, 2012, vol. 41, no. 3, pp. 391-404.

 

  • WIMMER, G. – WITKOVSKÝ, Viktor. Scheffé-type confidence region for the calibration line. In Austrian Journal of Statistics, 2006, vol. 35, no. 2&3, p. 397-406.

Citácie z databázy WOS: 1

  1. MYSKOVA, K. A simulation study on an approximate confidence region of parameters of a quadratic calibration function. In 30th International Conference on Mathematical Methods in Economics. 2012, p. 628-633.

 

  • WIMMER, G. – KAROVIČ, KarolWITKOVSKÝ, Viktor – KÖNING, R. Confidence interval for the distance of two micro/nano structures and its applications in dimensional metrology. In MEASUREMENT 2011 : Proceedings of the 8th International Conference on Measurement. Bratislava : Institute of Measurement Science SAS, 2011, p. 80-83.

Iné citácie: 1

  1. DG7 (Discussion Group on Line Scales) Report to CCL (Consultative Committee for Length). CCL/12-37-01. BIMP HQ, Sevres, France, 2012.

 

  • WIMMER, G. – WITKOVSKÝ, Viktor. Konfidenčné intervaly pre ošetrenia v klinických pokusoch. In ROBUST 2004 : sborník prací 13. letní školy JČMF. Praha : JČMF, 2004, s. 427-434.

Citácie z databázy WOS: 1

  1. KRAJICKOVA, P. A point estimator of the probability difference of overall treatment effect-simulation study. In Applied Mathematics and Informatics, 2011, vol. 50, p. 25-38.

 

  • WITKOVSKÝ, Viktor. Computing the distribution of a linear combination of inverted gamma variables. In Kybernetika, 2001, vol. 37, no. 1, p. 79-90.

Citácie z databázy WOS: 1

  1. MAI, J.F. – SCHERER, M. Simulating Copulas: Stochastic Models, Sampling Algorithms, and Applications. Imperial College Press, 2012.

 

  • WITKOVSKÝ, Viktor – WIMMER, G. Interval estimation of the mean of a normal distribution based on quantized observations. In Mathematica Slovaca, 2009, vol. 59, no. 5, p. 627-645.

Citácie z databázy WOS: 2

  1. LIRA, I. Assigning a probability density function for the value of a quantity based on discrete data: The resolution problem. In Metrologia, 2012, vol. 49, no. 6, p. 765-771.
  2. ELSTER, C. – LIRA, I. On the choice of a noninformative prior for Bayesian inference of discretized normal observations. In Computational Statistics, 2012, vol. 27, no. 2, p. 219-235.

 

  • YILDIZ, U. – CAPEK, Ignác – SAROV, Y. – COROBEA, M.C. – POLOVKOVÁ, Júlia. Kinetics and colloidal parameters of miniemulsion polymerization of butyl acrylate. In Polymer International, 2009, vol. 58, no. 12, p. 1411-1421.

Citácie z databázy WOS: 1

  1. WANG, D. – LI, X. – WANG, W.-J. – GONG, X. – LI, B.-G. – ZHU, S. Kinetics and modeling of semi-batch RAFT copolymerization with hyperbranching. In Macromolecules, 2012, vol. 45, no. 1, p. 28-38.

 

  • ZRUBEC, VladimírMAŇKA, JánŠKRÁTEK, Martin. Adjustable electronic phantom for volume magnetic susceptibility measurements. In Journal of Physics: Conference Series, 2008, vol. 97, art. no. 012126.

Citácie z databázy SCOPUS: 1

  1. TOMEK, J. – PLATIL, A. – JANOŠEK, M. – PRIBULA, O. – FISCHER, J. – RIPKA, P. Magnetopneumography – Incorporation of optical position reference. In Journal of Electrical Engineering, 2012, vol. 63, suppl. 7, p. 122-125.