| 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), 1483, 2019 | 168 | 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 | 130 | 2019 |
| 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), 14398, 2020 | 63 | 2020 |
| 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 | 46 | 2015 |
| 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 | 30 | 2021 |
| You only look on lymphocytes once M van Rijthoven, Z Swiderska-Chadaj, K Seeliger, J van der Laak, ... | 24 | 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 | 23 | 2021 |
| 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, 617-621, 2021 | 22 | 2021 |
| Optimized tumour infiltrating lymphocyte assessment for triple negative breast cancer prognostics MCA Balkenhol, F Ciompi, Ż Świderska-Chadaj, R van de Loo, M Intezar, ... The Breast 56, 78-87, 2021 | 22 | 2021 |
| 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 | 19 | 2016 |
| Convolutional neural networks for the evaluation of chronic and inflammatory lesions in kidney transplant biopsies M Hermsen, F Ciompi, A Adefidipe, A Denic, A Dendooven, BH Smith, ... The American Journal of Pathology 192 (10), 1418-1432, 2022 | 17 | 2022 |
| Survey: interpolation methods for whole slide image processing L Roszkowiak, A Korzynska, J Zak, D Pijanowska, ... Journal of microscopy 265 (2), 148-158, 2017 | 16 | 2017 |
| 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, 1-12, 2016 | 15 | 2016 |
| Convolutional neural networks for lymphocyte detection in immunohistochemically stained whole-slide images Z Swiderska-Chadaj, H Pinckaers, M van Rijthoven, M Balkenhol, ... Open Review, 2018 | 13 | 2018 |
| 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 | 10 | 2020 |
| 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 | 10 | 2015 |
| 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, ... Mathematical Morphology and Its Applications to Signal and Image Processing …, 2015 | 10 | 2015 |
| Semantic segmentation of colon glands in inflammatory bowel disease biopsies Z Ma, Z Swiderska-Chadaj, N Ing, H Salemi, D McGovern, B Knudsen, ... Information Technology in Biomedicine: Proceedings 6th International …, 2019 | 9 | 2019 |
| Automatic generation of graphical game assets using gan R Karp, Z Swiderska-Chadaj Proceedings of the 2021 7th International Conference on Computer Technology …, 2021 | 7 | 2021 |
