| Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides A Gertych, Z Swiderska-Chadaj, Z Ma, T Markiewicz, S Cierniak, H Salemi, ... Scientific reports 9 (1), 1-12, 2019 | 115 | 2019 |
| 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 | 69 | 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 | 42 | 2015 |
| 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 | 24 | 2020 |
| 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, 849-856-849-856, 2018 | 19 | 2018 |
| 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 | 17 | 2016 |
| Survey: interpolation methods for whole slide image processing L Roszkowiak, A Korzynska, J Zak, D Pijanowska, ... Journal of microscopy 265 (2), 148-158, 2017 | 12 | 2017 |
| You only look on lymphocytes once M van Rijthoven, Z Swiderska-Chadaj, K Seeliger, J van der Laak, ... | 11 | 2018 |
| Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... | 11 | 2018 |
| 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 | 10 | 2016 |
| 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 | 10 | 2015 |
| 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 | 8 | 2015 |
| Semantic segmentation of colon glands in inflammatory bowel disease biopsies Z Ma, Z Swiderska-Chadaj, H Salemi, D McGovern, B Knudsen, A Gertych International Conference on Information Technologies in Biomedicine, 379-392, 2018 | 7 | 2018 |
| A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues J Gallego, Z Swiderska-Chadaj, T Markiewicz, M Yamashita, ... Computerized Medical Imaging and Graphics 89, 101865, 2021 | 6 | 2021 |
| 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 | 6 | 2015 |
| Convolutional neural networks can accurately distinguish four histologic growth patterns of lung adenocarcinoma in digital slides. Sci Rep. 2019; 9: 1483 A Gertych, Z Swiderska-Chadaj, Z Ma, N Ing, T Markiewicz, S Cierniak, ... | 5 | |
| Artificial intelligence to detect MYC translocation in slides of diffuse large B-cell lymphoma Z Swiderska-Chadaj, KM Hebeda, M van den Brand, G Litjens Virchows Archiv 479 (3), 617-621, 2021 | 4 | 2021 |
| Quantitative assessment of inflammatory infiltrates in kidney transplant biopsies using multiplex tyramide signal amplification and deep learning M Hermsen, V Volk, JH Bräsen, DJ Geijs, W Gwinner, J Kers, J Linmans, ... Laboratory Investigation 101 (8), 970-982, 2021 | 4 | 2021 |
| Detection of Ki67 hot-spots of invasive breast cancer based on convolutional neural networks applied to mutual information of H&E and Ki67 whole slide images Z Swiderska-Chadaj, J Gallego, L Gonzalez-Lopez, G Bueno Applied Sciences 10 (21), 7761, 2020 | 4 | 2020 |
| 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 | 3 | 2018 |
