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ORCIDOscar Geessink
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2010 – 2019
- 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)- [j1]Péter Bándi, Oscar Geessink, Quirine Manson, Marcory Van Dijk, Maschenka Balkenhol, Meyke Hermsen, Babak Ehteshami Bejnordi, Byungjae Lee, Kyunghyun Paeng, Aoxiao Zhong, Quanzheng Li, Farhad Ghazvinian Zanjani, Svitlana Zinger, Keisuke Fukuta, Daisuke Komura, Vlado Ovtcharov, Shenghua Cheng, Shaoqun Zeng, Jeppe Thagaard, Anders B. Dahl, Huangjing Lin, Hao Chen, Ludwig Jacobsson, Martin Hedlund, Melih Çetin, Eren Halici, Hunter Jackson, Richard Chen, Fabian Both, Jörg Franke, Heidi Küsters-Vandevelde, Willem Vreuls, Peter Bult, Bram van Ginneken, Jeroen van der Laak, Geert Litjens:
From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge. IEEE Trans. Medical Imaging 38(2): 550-560 (2019) - 2017
- [c2]Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak:
The importance of stain normalization in colorectal tissue classification with convolutional networks. ISBI 2017: 160-163 - [i1]Francesco Ciompi, Oscar Geessink, Babak Ehteshami Bejnordi, Gabriel Silva de Souza, Alexi Baidoshvili, Geert Litjens, Bram van Ginneken, Iris Nagtegaal, Jeroen van der Laak:
The importance of stain normalization in colorectal tissue classification with convolutional networks. CoRR abs/1702.05931 (2017) - 2015
- [c1]Oscar G. F. Geessink, Alexi Baidoshvili, Gerard Freling, Joost M. Klaase, Cornelis H. Slump, Ferdinand van der Heijden:
Toward automatic segmentation and quantification of tumor and stroma in whole-slide images of H and E stained rectal carcinomas. Medical Imaging: Digital Pathology 2015: 94200F
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