Multichannel blind source separation using convolution kernel compensation A Holobar, D Zazula IEEE Transactions on Signal Processing 55 (9), 4487-4496, 2007 | 620 | 2007 |
Estimating motor unit discharge patterns from high-density surface electromyogram A Holobar, D Farina, M Gazzoni, R Merletti, D Zazula Clinical Neurophysiology 120 (3), 551-562, 2009 | 340 | 2009 |
Correlation-based decomposition of surface electromyograms at low contraction forces A Holobar, D Zazula Medical and Biological Engineering and Computing 42, 487-495, 2004 | 182 | 2004 |
Detecting fruits in natural scenes by using spatial-frequency based texture analysis and multiview geometry J Rakun, D Stajnko, D Zazula Computers and Electronics in Agriculture 76 (1), 80-88, 2011 | 158 | 2011 |
Real-time motor unit identification from high-density surface EMG V Glaser, A Holobar, D Zazula IEEE transactions on neural systems and rehabilitation engineering 21 (6 …, 2013 | 138 | 2013 |
Multiscale entropy-based approach to automated surface EMG classification of neuromuscular disorders R Istenič, PA Kaplanis, CS Pattichis, D Zazula Medical & biological engineering & computing 48, 773-781, 2010 | 120 | 2010 |
Gradient convolution kernel compensation applied to surface electromyograms A Holobar, D Zazula International Conference on Independent Component Analysis and Signal …, 2007 | 117 | 2007 |
A cumulant-based method for gait identification using accelerometer data with principal component analysis and support vector machine S Sprager, D Zazula WSEAS Transactions on Signal Processing 5 (11), 369-378, 2009 | 115 | 2009 |
Automated analysis of a sequence of ovarian ultrasound images. Part I: segmentation of single 2D images B Potočnik, D Zazula Image and vision computing 20 (3), 217-225, 2002 | 90 | 2002 |
Adjustments differ among low-threshold motor units during intermittent, isometric contractions D Farina, A Holobar, M Gazzoni, D Zazula, R Merletti, RM Enoka Journal of neurophysiology 101 (1), 350-359, 2009 | 88 | 2009 |
Combined edge detection using wavelet transform and signal registration D Heric, D Zazula Image and Vision computing 25 (5), 652-662, 2007 | 87 | 2007 |
Heartbeat and respiration detection from optical interferometric signals by using a multimethod approach S Šprager, D Zazula IEEE transactions on biomedical engineering 59 (10), 2922-2929, 2012 | 72 | 2012 |
Cellular automata and follicle recognition problem and possibilities of using cellular automata for image recognition purposes B Viher, A Dobnikar, D Zazula International journal of medical informatics 49 (2), 231-241, 1998 | 67 | 1998 |
Single autoterms selection for blind source separation in time-frequency plane A Holobar, C Fevotte, C Doncarli, D Zazula 2002 11th European Signal Processing Conference, 1-4, 2002 | 66 | 2002 |
Segmentation of ovarian ultrasound images using cellular neural networks B Cigale, D Zazula International Journal of Pattern Recognition and Artificial Intelligence 18 …, 2004 | 65 | 2004 |
Thermal and visual image registration in hough parameter space R Istenic, D Heric, S Ribaric, D Zazula 2007 14th International Workshop on Systems, Signals and Image Processing …, 2007 | 53 | 2007 |
Detection of heartbeat and respiration from optical interferometric signal by using wavelet transform S Šprager, D Zazula Computer methods and programs in biomedicine 111 (1), 41-51, 2013 | 46 | 2013 |
Automated computer-assisted detection of follicles in ultrasound images of ovary B Potočnik, D Zazula, D Korže Journal of medical systems 21, 445-457, 1997 | 44 | 1997 |
An approach to surface EMG decomposition based on higher-order cumulants D Zazula, A Holobar Computer methods and programs in biomedicine 80, S51-S60, 2005 | 43 | 2005 |
Monitoring of basic human vital functions using optical interferometer S Šprager, D Donlagić, D Zazula IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 1-4, 2010 | 42 | 2010 |