| River channel segmentation in polarimetric SAR images: Watershed transform combined with average contrast maximisation M Ciecholewski Expert Systems with Applications 82, 196-215, 2017 | 77 | 2017 |
| An edge-based active contour model using an inflation/deflation force with a damping coefficient M Ciecholewski Expert Systems with Applications 44, 22-36, 2016 | 73 | 2016 |
| Computational methods for liver vessel segmentation in medical imaging: A review M Ciecholewski, M Kassjański Sensors 21 (6), 2027, 2021 | 60 | 2021 |
| Microcalcification segmentation from mammograms: A morphological approach M Ciecholewski Journal of digital imaging 30, 172-184, 2017 | 44 | 2017 |
| Automated coronal hole segmentation from Solar EUV Images using the watershed transform M Ciecholewski Journal of Visual Communication and Image Representation 33, 203-218, 2015 | 29 | 2015 |
| Malignant and benign mass segmentation in mammograms using active contour methods M Ciecholewski Symmetry 9 (11), 277, 2017 | 27 | 2017 |
| Automatic segmentation of single and multiple neoplastic hepatic lesions in CT images M Ciecholewski, MR Ogiela International work-conference on the interplay between natural and …, 2007 | 27 | 2007 |
| Semi–automatic corpus callosum segmentation and 3d visualization using active contour methods M Ciecholewski, JH Spodnik Symmetry 10 (11), 589, 2018 | 24 | 2018 |
| Automatic liver segmentation from 2D CT images using an approximate contour model M Ciecholewski Journal of Signal Processing Systems 74, 151-174, 2014 | 24 | 2014 |
| Gallbladder shape extraction from ultrasound images using active contour models M Ciecholewski, J Chochołowicz Computers in Biology and Medicine 43 (12), 2238-2255, 2013 | 20 | 2013 |
| Gallbladder boundary segmentation from ultrasound images using active contour model M Ciecholewski International Conference on Intelligent Data Engineering and Automated …, 2010 | 16 | 2010 |
| Review of segmentation methods for coastline detection in SAR images M Ciecholewski Archives of Computational Methods in Engineering 31 (2), 839-869, 2024 | 14 | 2024 |
| Ischemic heart disease detection using selected machine learning methods M Ciecholewski International Journal of Computer Mathematics 90 (8), 1734-1759, 2013 | 13 | 2013 |
| Support vector machine approach to cardiac SPECT diagnosis M Ciecholewski Combinatorial Image Analysis: 14th International Workshop, IWCIA 2011 …, 2011 | 10 | 2011 |
| Gallbladder segmentation in 2-D ultrasound images using deformable contour methods M Ciecholewski International Conference on Modeling Decisions for Artificial Intelligence …, 2010 | 10 | 2010 |
| Automatic segmentation of neoplastic hepatic disease symptoms in CT Images M Ciecholewski, MR Ogiela International Conference on Modeling Decisions for Artificial Intelligence …, 2007 | 6 | 2007 |
| Automatic segmentation of the liver in CT images using a model of approximate contour M Ciecholewski, K Dȩbski International Symposium on Computer and Information Sciences, 75-84, 2006 | 6 | 2006 |
| AdaBoost-based approach for detecting lithiasis and polyps in USG images of the gallbladder M Ciecholewski International Visual Informatics Conference, 206-215, 2011 | 4 | 2011 |
| Algorytm pseudokolorowania obrazów medycznych M Ciecholewski Elektrotechnika i Elektronika 24, 1-6, 0 | 4* | |
| Gallbladder Segmentation from 2–D Ultrasound Images Using Active Contour Models and Gradient Vector Flow M Ciecholewski International Conference on Computer Vision/Computer Graphics Collaboration …, 2011 | 3 | 2011 |
