| Bayesian classification and analysis of gait disorders using image and depth sensors of Microsoft Kinect A Procházka, O Vyšata, M Vališ, O Ťupa, M Schätz, V Mařík Digital Signal Processing 47, 169-177, 2015 | 118 | 2015 |
| Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect O Ťupa, A Procházka, O Vyšata, M Schätz, J Mareš, M Vališ, V Mařík Biomedical engineering online 14, 1-20, 2015 | 111 | 2015 |
| Use of the image and depth sensors of the Microsoft Kinect for the detection of gait disorders A Procházka, O Vyšata, M Vališ, O Ťupa, M Schätz, V Mařík Neural Computing and Applications 26, 1621-1629, 2015 | 53 | 2015 |
| The MS kinect image and depth sensors use for gait features detection A Procházka, M Schätz, O Ťupa, M Yadollahi, O Vyšata, M Walls 2014 IEEE International Conference on Image Processing (ICIP), 2271-2274, 2014 | 30 | 2014 |
| Recognition of motion patterns using accelerometers for ataxic gait assessment O Dostál, A Procházka, O Vyšata, O Ťupa, P Cejnar, M Vališ Neural Computing and Applications 33, 2207-2215, 2021 | 28 | 2021 |
| Statistical recognition of breathing by MS Kinect depth sensor M Schätz, F Centonze, J Kuchyňka, O Ťupa, O Vyšata, O Geman, ... 2015 International Workshop on Computational Intelligence for Multimedia …, 2015 | 27 | 2015 |
| Discrimination of axonal neuropathy using sensitivity and specificity statistical measures A Procházka, O Vyšata, O Ťupa, M Yadollahi, M Vališ Neural Computing and Applications 25, 1349-1358, 2014 | 27 | 2014 |
| Cycling segments multimodal analysis and classification using neural networks A Procházka, S Vaseghi, H Charvátová, O Ťupa, O Vyšata Applied Sciences 7 (6), 581, 2017 | 22 | 2017 |
| Mitotic defects in fission yeast lipid metabolism ‘cut’mutants are suppressed by ammonium chloride R Zach, J Tvarůžková, M Schätz, O Ťupa, B Grallert, M Převorovský FEMS yeast research 18 (6), foy064, 2018 | 17 | 2018 |
| Remote physiological and GPS data processing in evaluation of physical activities A Procházka, S Vaseghi, M Yadollahi, O Ťupa, J Mareš, O Vyšata Medical & biological engineering & computing 52, 301-308, 2014 | 16 | 2014 |
| Analysis of lipid droplet content in fission and budding yeasts using automated image processing J Princová, M Schätz, O Ťupa, M Převorovský JoVE (Journal of Visualized Experiments), e59889, 2019 | 10 | 2019 |
| Classification of ataxic gait O Vyšata, O Ťupa, A Procházka, R Doležal, P Cejnar, AM Bhorkar, ... Sensors 21 (16), 5576, 2021 | 7 | 2021 |
| Mutation maker, an open source oligo design platform for protein engineering K Hiraga, P Mejzlik, M Marcisin, N Vostrosablin, A Gromek, J Arnold, ... ACS Synthetic Biology 10 (2), 357-370, 2021 | 7 | 2021 |
| Face movement analysis with MS Kinect M Schätz, A Procházka, O Ťupa, O Vyšata, V Sedlák 2016 International Workshop on Computational Intelligence for Multimedia …, 2016 | 5 | 2016 |
| Navigation of robotic platform for gait disorders monitoring J Crha, O Ťupa, J Mareš, A Procházka 2016 International Conference on Applied Electronics (AE), 57-60, 2016 | 5 | 2016 |
| The best motion sensor localization for ataxic gait assessment (1924) O Dostal, O Tupa, A Prochazka, O Vysata, L Pazdera, M Valis Neurology 94 (15_supplement), 1924, 2020 | 3 | 2020 |
| Kinect V2 as a tool for stroke recovery: Pilot study of motion scale monitoring O Ťupa, O Vyšata, A Procházka, O Dostál, M Schätz 2016 International Workshop on Computational Intelligence for Multimedia …, 2016 | 2 | 2016 |
| Classification of ataxic gait by shallow classifiers (2827) O Tupa, O Dostal, O Vysata, L Pazdera, M Valis Neurology 96 (15_supplement), 2827, 2021 | | 2021 |
| Mutation Maker, An Open Source Oligo Design Software for Mutagenesis and De Novo Gene Synthesis Experiments K Hiraga, P Mejzlik, M Marcisin, N Vostrosablin, A Gromek, J Arnold, ... bioRxiv, 2020 | | 2020 |
| Mobile gait tracking using MS Kinect and robotic platform J Crha, O Ťupa Vysoká škola báňská-Technická univerzita Ostrava, 2015 | | 2015 |
Martin SchätzVysoká škola chemicko technologická在 vscht.cz 的电子邮件经过验证
