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ORCIDZaneta Swiderska
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Journal Articles
- 2021
[j3]Jaime Gallego, Zaneta Swiderska-Chadaj
, Tomasz Markiewicz, Michifumi Yamashita, M. Alejandra Gabaldon, Arkadiusz Gertych:
A U-Net based framework to quantify glomerulosclerosis in digitized PAS and H&E stained human tissues. Comput. Medical Imaging Graph. 89: 101865 (2021)- 2019
- [j2]Zaneta Swiderska-Chadaj, Hans Pinckaers, Mart van Rijthoven, Maschenka Balkenhol, Margarita Melnikova, Oscar Geessink, Quirine Manson, Mark Sherman, António Polónia, Jeremy Parry, Mustapha Abubakar, Geert Litjens, Jeroen van der Laak, Francesco Ciompi:
Learning to detect lymphocytes in immunohistochemistry with deep learning. Medical Image Anal. 58 (2019) - 2018
- [j1]Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, Szczepan Cierniak:
Image processing methods for the structural detection and gradation of placental villi. Comput. Biol. Medicine 100: 259-269 (2018)
Conference and Workshop Papers
- 2022
- [c11]Mateusz Lysik, Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Tomasz Les, Szczepan Cierniak, Malgorzata Lorent:
HE-to-PAS histological stain conversion by GAN in renal pathology. IJCNN 2022: 1-7 - 2021
- [c10]Rafal Karp, Zaneta Swiderska-Chadaj:
Automatic generation of graphical game assets using GAN. ICCTA 2021: 7-12 - 2020
- [c9]Zaneta Swiderska-Chadaj, Karolina Nurzynska, Bartlomiej Grala, Katrien Grunberg, Lieke van der Woude, Monika Looijen-Salamon, Ann E. Walts, Tomasz Markiewicz, Francesco Ciompi, Arkadiusz Gertych:
A deep learning approach to assess the predominant tumor growth pattern in whole-slide images of lung adenocarcinoma. Digital Pathology 2020: 113200D - [c8]Zaneta Swiderska-Chadaj, Konnie M. Hebeda, Michiel van den Brand, Geert Litjens:
Predicting MYC translocation in HE specimens of diffuse large B-cell lymphoma through deep learning. Digital Pathology 2020: 1132010 - 2019
- [c7]Zaneta Swiderska-Chadaj, Zhaoxuan Ma, Nathan Ing, Tomasz Markiewicz, Malgorzata Lorent, Szczepan Cierniak, Ann E. Walts, Beatrice S. Knudsen, Arkadiusz Gertych:
Contextual Classification of Tumor Growth Patterns in Digital Histology Slides. ITIB 2019: 13-25 - 2018
- [c6]Zhaoxuan Ma, Zaneta Swiderska-Chadaj, Nathan Ing, Hootan Salemi, Dermot P. B. McGovern, Beatrice S. Knudsen, Arkadiusz Gertych:
Semantic Segmentation of Colon Glands in Inflammatory Bowel Disease Biopsies. ITIB 2018: 379-392 - 2017
- [c5]Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, Malgorzata Lorent, Arkadiusz Gertych:
A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides. MIUA 2017: 448-458 - 2016
- [c4]Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Robert Koktysz, Wojciech Kozlowski:
Texture Analysis to Trophoblast and Villi Detection in Placenta Histological Images. ITIB (2) 2016: 183-192 - 2015
- [c3]Zaneta Swiderska, Tomasz Markiewicz, Bartlomiej Grala, Wojciech Kozlowski:
Texture and Mathematical Morphology for Hot-Spot Detection in Whole Slide Images of Meningiomas and Oligodendrogliomas. CAIP (2) 2015: 1-12 - [c2]Zaneta Swiderska, Tomasz Markiewicz, Bartlomiej Grala, Janina Slodkowska:
Hot-spot selection and evaluation methods for whole slice images of meningiomas and oligodendrogliomas. EMBC 2015: 6252-6256 - [c1]Marek Wdowiak, Tomasz Markiewicz, Stanislaw Osowski, Zaneta Swiderska, Janusz Patera, Wojciech Kozlowski:
Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images. ISMM 2015: 3-14
Coauthor Index
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