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Yoni Schirris
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2020 – today
- 2024
- [j2]Jan Moritz Niehues
, Gustav Müller-Franzes, Yoni Schirris, Sophia J. Wagner, Michael Jendrusch
Using histopathology latent diffusion models as privacy-preserving dataset augmenters improves downstream classification performance. Comput. Biol. Medicine 175: 108410 (2024) - 2022
- [j1]Yoni Schirris
DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. Medical Image Anal. 79: 102464 (2022) - [c2]Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen:
WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. Digital and Computational Pathology 2022 - 2021
- [i2]Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen:
DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. CoRR abs/2107.09405 (2021) - [i1]Yoni Schirris, Mendel Engelaer, Andreas Panteli, Hugo Mark Horlings, Efstratios Gavves, Jonas Teuwen:
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. CoRR abs/2109.05892 (2021) - 2020
- [c1]Gjorgji Strezoski, Lucas Fijen, Jonathan Mitnik, Dániel László, Pieter de Marez Oyens, Yoni Schirris, Marcel Worring
TindART: A Personal Visual Arts Recommender. ACM Multimedia 2020: 4524-4526
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