| Improved early stroke detection: wavelet-based perception enhancement of computerized tomography exams A Przelaskowski, K Sklinda, P Bargieł, J Walecki, ... Computers in biology and medicine 37 (4), 524-533, 2007 | 62 | 2007 |
| Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms A Wroblewska, P Boninski, A Przelaskowski, M Kazubek Optoelectronics Review, 227-236, 2003 | 58 | 2003 |
| Vector quality measure of lossy compressed medical images A Przelaskowski Computers in biology and medicine 34 (3), 193-207, 2004 | 45 | 2004 |
| Neuroimaging of cerebral venous thrombosis (CVT)–old dilemma and the new diagnostic methods J Walecki, B Mruk, E Nawrocka-Laskus, A Piliszek, A Przelaskowski, ... Polish Journal of Radiology 80, 368, 2015 | 36 | 2015 |
| Kompresja danych: podstawy, metody bezstratne, kodery obrazów A Przelaskowski Wydawnictwo BTC, 2005 | 35 | 2005 |
| A two-step method for detection of architectural distortions in mammograms M Jasionowska, A Przelaskowski, A Rutczynska, A Wroblewska Information Technologies in Biomedicine, 73-84, 2010 | 31 | 2010 |
| Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies W Hryniewska, P Bombiński, P Szatkowski, P Tomaszewska, ... Pattern Recognition 118, 108035, 2021 | 18 | 2021 |
| Assessment of uterine contractile activity during a pregnancy based on a nonlinear analysis of the uterine electromyographic signal D Radomski, A Grzanka, S Graczyk, A Przelaskowski Information Technologies in Biomedicine, 325-331, 2008 | 16 | 2008 |
| Compression of mammograms for medical practice A Przelaskowski Proceedings of the 2004 ACM symposium on Applied computing, 249-253, 2004 | 13 | 2004 |
| Falkowe metody kompresji danych obrazowych A Przelaskowski Prace Naukowe Politechniki Warszawskiej. Elektronika, 3-226, 2002 | 12 | 2002 |
| MRI imaging texture features in prostate lesions classification P Sobecki, D Życka-Malesa, I Mykhalevych, K Sklinda, A Przelaskowski EMBEC & NBC 2017, 827-830, 2017 | 10 | 2017 |
| Diagnostically useful video content extraction for integrated computer-aided bronchoscopy examination system R Jóźwiak, A Przelaskowski, M Duplaga Computer Recognition Systems 3, 151-158, 2009 | 10 | 2009 |
| Evaluation of quality retaining diagnostic credibility for surgery video recordings M Duplaga, M Leszczuk, Z Papir, A Przelaskowski International Conference on Advances in Visual Information Systems, 227-230, 2008 | 10 | 2008 |
| Lossloss encoding of medical images: hybrid modification of statistical modelling-based conception A Przelaskowski Journal of Electronic Imaging 10 (4), 966-976, 2001 | 10 | 2001 |
| Stroke slicer for CT-based automatic detection of acute ischemia A Przelaskowski, G Ostrek, K Sklinda, J Walecki, R Jóźwiak Computer Recognition Systems 3, 447-454, 2009 | 9 | 2009 |
| Multiscale extraction of hypodensity in hyperacute stroke. K Sklinda, P Bargiel, A Przelaskowski, T Bulski, J Walecki, P Grieb Medical Science Monitor: International Medical Journal of Experimental and …, 2007 | 9 | 2007 |
| Detail preserving wavelet-based compression with adaptive context-based quantisation A Przelaskowski Fundamenta Informaticae 34 (4), 369-388, 1998 | 9 | 1998 |
| Do not repeat these mistakes--a critical appraisal of applications of explainable artificial intelligence for image based COVID-19 detection W Hryniewska, P Bombiński, P Szatkowski, P Tomaszewska, P Biecek | 8 | 2020 |
| Characteristics of architectural distortions in mammograms-Extraction of texture orientation with Gabor filters M Jasionowska, A Przelaskowski, R Jóźwiak International Conference on Computer Vision and Graphics, 420-430, 2010 | 8 | 2010 |
| Computer-aided diagnosis: From image understanding to integrated assistance A Przelaskowski Information Technologies in Biomedicine, 44-54, 2008 | 8 | 2008 |
