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Panoptic segmentation with highly imbalanced semantic labels


Apr 02, 2022
Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Andrew Janowczyk, Inti Zlobec, Dagmar Kainmueller


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Towards IID representation learning and its application on biomedical data


Mar 01, 2022
Jiqing Wu, Inti Zlobec, Maxime Lafarge, Yukun He, Viktor H. Koelzer

* The paper is accepted by MIDL 2022--full paper track 

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Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection


Aug 20, 2021
Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran


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Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer


Jul 07, 2020
Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran


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