| Possibility of reconstruction of dental plaster cast from 3D digital study models M Kasparova, L Grafova, P Dvorak, T Dostalova, A Prochazka, H Eliasova, ... Biomedical engineering online 12, 1-11, 2013 | 224 | 2013 |
| Principal component analysis in image processing M Mudrova, A Procházka Proceedings of the MATLAB technical computing conference, Prague, 2005 | 125 | 2005 |
| Wavelet transform use for feature extraction and EEG signal segments classification A Prochazka, J Kukal, O Vysata 2008 3rd International symposium on communications, control and signal …, 2008 | 113 | 2008 |
| 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 | 111 | 2015 |
| Signal analysis and prediction A Prochazka, NG Kingsbury, PJW Payner, J Uhlir Springer Science & Business Media, 2013 | 108 | 2013 |
| 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 | 107 | 2015 |
| Microsoft kinect visual and depth sensors for breathing and heart rate analysis A Procházka, M Schätz, O Vyšata, M Vališ Sensors 16 (7), 996, 2016 | 102 | 2016 |
| Age-related changes in EEG coherence O Vysata, J Kukal, A Prochazka, L Pazdera, J Simko, M Valis Neurologia i neurochirurgia polska 48 (1), 35-38, 2014 | 90 | 2014 |
| Algorithms for initialization of neural network weights A Pavelka, A Procházka In Proceedings of the 12th annual conference, MATLAB, 453-459, 2004 | 88 | 2004 |
| Breathing analysis using thermal and depth imaging camera video records A Procházka, H Charvátová, O Vyšata, J Kopal, J Chambers Sensors 17 (6), 1408, 2017 | 78 | 2017 |
| 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 | 50 | 2015 |
| Wavelet based image segmentation A Gavlasová, A Procházka, M Mudrová Proc. of the 14th Annual Conference Technical Computing, Prague, 1-7, 2006 | 50 | 2006 |
| Rational approximation of time delay V Hanta, A Procházka Institute of Chemical Technology in Prague. Department of computing and …, 2009 | 47 | 2009 |
| Age-related changes in the energy and spectral composition of EEG O Vysata, J Kukal, A Prochazka, L Pazdera, M Valis Neurophysiology 44, 63-67, 2012 | 46 | 2012 |
| Sparse analysis model based multiplicative noise removal with enhanced regularization J Dong, Z Han, Y Zhao, W Wang, A Prochazka, J Chambers Signal Processing 137, 160-176, 2017 | 38 | 2017 |
| Multi-channel EEG signal segmentation and feature extraction A Procházka, M Mudrova, O Vyšata, R Hava, CPS Araujo 2010 IEEE 14th International Conference on Intelligent Engineering Systems …, 2010 | 38 | 2010 |
| Extraction of breathing features using MS Kinect for sleep stage detection A Procházka, M Schätz, F Centonze, J Kuchyňka, O Vyšata, M Vališ Signal, Image and Video Processing 10, 1279-1286, 2016 | 37 | 2016 |
| Machine learning in rehabilitation assessment for thermal and heart rate data processing A Procházka, H Charvátová, S Vaseghi, O Vyšata IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (6 …, 2018 | 36 | 2018 |
| Multi-dimensional biomedical image de-noising using Haar transform E Hostalkova, O Vysata, A Prochazka 2007 15th International Conference on Digital Signal Processing, 175-178, 2007 | 36 | 2007 |
| The diagnostic value of MRI fistulogram and MRI distal colostogram in patients with anorectal malformations L Kavalcova, R Skaba, M Kyncl, B Rouskova, A Prochazka Journal of Pediatric Surgery 48 (8), 1806-1809, 2013 | 35 | 2013 |
