| Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides A Gertych, Z Swiderska-Chadaj, Z Ma, N Ing, T Markiewicz, S Cierniak, ... Scientific reports 9 (1), 1-12, 2019 | 49 | 2019 |
| Comparison of the manual, semiautomatic, and automatic selection and leveling of hot spots in whole slide images for Ki-67 quantification in meningiomas Z Swiderska, A Korzynska, T Markiewicz, M Lorent, J Zak, A Wesolowska, ... Analytical cellular pathology 2015, 2015 | 35 | 2015 |
| Learning to detect lymphocytes in immunohistochemistry with deep learning Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... Medical image analysis 58, 101547, 2019 | 16 | 2019 |
| MIAP–Web-based platform for the computer analysis of microscopic images to support the pathological diagnosis T Markiewicz, A Korzynska, A Kowalski, Z Swiderska-Chadaj, P Murawski, ... Biocybernetics and Biomedical Engineering 36 (4), 597-609, 2016 | 16 | 2016 |
| Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection Z Swiderska-Chadaj, T Markiewicz, B Grala, M Lorent Diagnostic pathology 11 (1), 1-12, 2016 | 11 | 2016 |
| Deep learning for damaged tissue detection and segmentation in Ki-67 brain tumor specimens based on the U-net model Z Swiderska-Chadaj, T Markiewicz, J Gallego, G Bueno, B Grala, ... Bulletin of the Polish Academy of Sciences. Technical Sciences 66 (6), 2018 | 8 | 2018 |
| Survey: interpolation methods for whole slide image processing L Roszkowiak, A Korzynska, J Zak, D Pijanowska, ... Journal of microscopy 265 (2), 148-158, 2017 | 8 | 2017 |
| Hourglass shapes in rank grey-level hit-or-miss transform for membrane segmentation in HER2/neu images M Wdowiak, T Markiewicz, S Osowski, Z Swiderska, J Patera, ... International Symposium on Mathematical Morphology and Its Applications to …, 2015 | 8 | 2015 |
| Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... | 5 | 2018 |
| Hot-spot selection and evaluation methods for whole slice images of meningiomas and oligodendrogliomas Z Swiderska, T Markiewicz, B Grala, J Slodkowska 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 5 | 2015 |
| Semantic segmentation of colon glands in inflammatory bowel disease biopsies Z Ma, Z Swiderska-Chadaj, N Ing, H Salemi, D McGovern, B Knudsen, ... International Conference on Information Technologies in Biomedicine, 379-392, 2018 | 4 | 2018 |
| You only look on lymphocytes once M van Rijthoven, Z Swiderska-Chadaj, K Seeliger, J van der Laak, ... | 3 | 2018 |
| Impact of rescanning and normalization on convolutional neural network performance in multi-center, whole-slide classification of prostate cancer Z Swiderska-Chadaj, T de Bel, L Blanchet, A Baidoshvili, D Vossen, ... Scientific RepoRtS 10 (1), 1-14, 2020 | 2 | 2020 |
| A deep learning pipeline to delineate proliferative areas of intracranial tumors in digital slides Z Swiderska-Chadaj, T Markiewicz, B Grala, M Lorent, A Gertych Annual Conference on Medical Image Understanding and Analysis, 448-458, 2017 | 2 | 2017 |
| Automatic method for vessel detection in virtual slide images of placental villi Ż Swiderska-Chadaj, T Markiewicz, R Koktysz, W Kozlowski Recent Global Research and Education: Technological Challenges, 175-181, 2017 | 2 | 2017 |
| Texture analysis to trophoblast and villi detection in placenta histological images Z Swiderska-Chadaj, T Markiewicz, R Koktysz, W Kozlowski Conference of Information Technologies in Biomedicine, 183-192, 2016 | 2 | 2016 |
| Texture and mathematical morphology for hot-spot detection in whole slide images of meningiomas and oligodendrogliomas Z Swiderska, T Markiewicz, B Grala, W Kozlowski International Conference on Computer Analysis of Images and Patterns, 1-12, 2015 | 2 | 2015 |
| A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma Z Swiderska-Chadaj, K Nurzynska, B Grala, K Grunberg, ... Medical Imaging 2020: Digital Pathology 11320, 113200D, 2020 | 1 | 2020 |
| Contextual classification of tumor growth patterns in digital histology slides Z Swiderska-Chadaj, Z Ma, N Ing, T Markiewicz, M Lorent, S Cierniak, ... International Conference on Information Technologies in Biomedicine, 13-25, 2019 | 1 | 2019 |
| Image processing methods for the structural detection and gradation of placental villi Z Swiderska-Chadaj, T Markiewicz, R Koktysz, S Cierniak Computers in biology and medicine 100, 259-269, 2018 | 1 | 2018 |
