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 | 74 | 2007 |
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 | 63 | 2021 |
Segmentation and feature extraction for reliable classification of microcalcifications in digital mammograms A Wróblewska, P Boninski, A Przelaskowski, M Kazubek Optoelectronics Review, 227-236, 2003 | 63 | 2003 |
Vector quality measure of lossy compressed medical images A Przelaskowski Computers in biology and medicine 34 (3), 193-207, 2004 | 52 | 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 | 44 | 2015 |
Kompresja danych: podstawy, metody bezstratne, kodery obrazów A Przelaskowski Wydawnictwo BTC, 2005 | 37 | 2005 |
A two-step method for detection of architectural distortions in mammograms M Jasionowska, A Przelaskowski, A Rutczynska, A Wroblewska Information Technologies in Biomedicine: Volume 2, 73-84, 2010 | 34 | 2010 |
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 | 20 | 2008 |
Effect of domain knowledge encoding in CNN model architecture—a prostate cancer study using mpMRI images P Sobecki, R Jóźwiak, K Sklinda, A Przelaskowski PeerJ 9, e11006, 2021 | 15 | 2021 |
A competition, benchmark, code, and data for using artificial intelligence to detect lesions in digital breast tomosynthesis N Konz, M Buda, H Gu, A Saha, J Yang, J Chłędowski, J Park, J Witowski, ... JAMA network open 6 (2), e230524-e230524, 2023 | 14 | 2023 |
On the use of group theory to generalize elements of pairwise comparisons matrix: a cautionary note WW Koczkodaj, F Liu, VW Marek, J Mazurek, M Mazurek, L Mikhailov, ... International Journal of Approximate Reasoning 124, 59-65, 2020 | 14 | 2020 |
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 | 13 | 2002 |
Evaluation of quality retaining diagnostic credibility for surgery video recordings M Duplaga, M Leszczuk, Z Papir, A Przelaskowski Visual Information Systems. Web-Based Visual Information Search and …, 2008 | 12 | 2008 |
MRI imaging texture features in prostate lesions classification P Sobecki, D Życka-Malesa, I Mykhalevych, K Sklinda, A Przelaskowski EMBEC & NBC 2017: Joint Conference of the European Medical and Biological …, 2018 | 11 | 2018 |
Lossless encoding of medical images: Hybrid modification of statistical modeling-based conception A Przelaskowski Journal of Electronic Imaging 10 (4), 966-976, 2001 | 11 | 2001 |
Detail preserving wavelet-based compression with adaptive context-based quantisation A Przelaskowski Fundamenta Informaticae 34 (4), 369-388, 1998 | 11 | 1998 |
Development of diagnostic stroke ontology-preliminary results T Podsiadly-Marczykowska, B Ciszek, A Przelaskowski Information Technologies in Biomedicine, Volume 4, 261-272, 2014 | 10 | 2014 |
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 |
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 | 10 | 2009 |