| Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy B Krawczyk, M Galar, Ł Jeleń, F Herrera Applied Soft Computing 38, 714-726, 2016 | 273 | 2016 |
| Classification of breast cancer malignancy using cytological images of fine needle aspiration biopsies L Jelen, T Fevens, A Krzyzak International Journal of Applied Mathematics and Computer Science 18 (1), 75, 2008 | 135 | 2008 |
| Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies Ł Jeleń, A Krzyżak, T Fevens, M Jeleń Computers in biology and medicine 79, 80-91, 2016 | 25 | 2016 |
| Oversampling methods for classification of imbalanced breast cancer malignancy data B Krawczyk, Ł Jeleń, A Krzyżak, T Fevens Computer Vision and Graphics: International Conference, ICCVG 2012, Warsaw …, 2012 | 13 | 2012 |
| Web–based framework for breast cancer classification T Bruździński, A Krzyżak, T Fevens, Ł Jeleń Journal of Artificial Intelligence and Soft Computing Research 4 (2), 149-162, 2014 | 12 | 2014 |
| Application of pattern recognition techniques for the analysis of histopathological images A Krzyżak, T Fevens, M Habibzadeh, Ł Jeleń Computer Recognition Systems 4, 623-644, 2011 | 10 | 2011 |
| Influence of sample preparation methods on transmission electron micrographs of sol-gel materials M Cegielski, A Ulatowska-Jarża, H Podbielska Optica Applicata 32 (4), 759-766, 2002 | 10 | 2002 |
| Application of densenets for classification of breast cancer mammograms A Rybiałek, Ł Jeleń International Conference on Computer Information Systems and Industrial …, 2020 | 9 | 2020 |
| One-class classification decomposition for imbalanced classification of breast cancer malignancy data B Krawczyk, Ł Jeleń, A Krzyżak, T Fevens Artificial Intelligence and Soft Computing: 13th International Conference …, 2014 | 9 | 2014 |
| Parallel image restoration with spatially variant point spread function: description and first clinical results A Shearer, G Gorman, T O'Doherty, WJM van der Putten, P McCarthy, ... Medical Imaging 2001: Image Processing 4322, 787-795, 2001 | 8 | 2001 |
| Grading breast cancer malignancy with neural networks Ł Jeleń, A Lipiński, J Detyna, M Jeleń EDITORIAL BOARD 47, 2011 | 7 | 2011 |
| Computerized cancer malignancy grading of fine needle aspirates Ł Jeleń Concordia University, 2009 | 7 | 2009 |
| Comparison of pleomorphic and structural features used for breast cancer malignancy classification Ł Jeleń, A Krzyżak, T Fevens Advances in Artificial Intelligence: 21st Conference of the Canadian Society …, 2008 | 7 | 2008 |
| Influence of nuclei segmentation on breast cancer malignancy classification L Jelen, T Fevens, A Krzyzak Medical Imaging 2009: Computer-Aided Diagnosis 7260, 331-339, 2009 | 6 | 2009 |
| Role of Image Processing in the Cancer Diagnosis. J Detyna, L Jelen, M Jelen Bio Algorithms Med Syst. 7 (4), 5-9, 2011 | 5 | 2011 |
| Discriminatory power of cells grouping features for breast cancer malignancy classification L Jelen, T Fevens, A Krzyżak, M Jeleń 4th Kuala Lumpur International Conference on Biomedical Engineering 2008 …, 2008 | 5 | 2008 |
| Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer M Alsaedi, T Fevens, A Krzyżak, Ł Jeleń 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 4 | 2017 |
| Automated feature extraction for breast cancer grading with Bloom-Richardson scheme L Jelen, A Krzyzak, T Fevens International Journal of Computer Assisted Radiology and Surgery 1, 468, 2006 | 4 | 2006 |
| Texture description for classification of fine needle aspirates Ł Jeleń Current Trends in Biomedical Engineering and Bioimages Analysis: Proceedings …, 2020 | 2 | 2020 |
| Adaptive splitting and selection ensemble for breast cancer malignancy grading B Krawczyk, Ł Jeleń, M Woźniak 2014 IEEE Symposium on Computational Intelligence in Healthcare and e-health …, 2014 | 2 | 2014 |
Thomas FevensProfessor, Department of Computer Science and Software Engineering, Concordia University, MontrealVerified email at cse.concordia.ca
