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Journal Articles
- 2022
[j1]Christian Abbet
, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. Medical Image Anal. 79: 102473 (2022)
Conference and Workshop Papers
- 2023
- [c6]Linda Studer, JM Bokhorst, I Nagtegaal, Inti Zlobec, Heather Dawson, Andreas Fischer:
Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients. MIDL 2023: 235-259 - 2022
- [c5]Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer:
Towards IID representation learning and its application on biomedical data. MIDL 2022: 1375-1402 - 2021
- [c4]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. MIDL 2021: 5-21 - 2020
- [c3]Linda Studer, Jannis Wallau, Heather Dawson, Inti Zlobec, Andreas Fischer:
Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks. ICPR 2020: 3636-3643 - [c2]Huu-Giao Nguyen, Annika Blank, Alessandro Lugli, Inti Zlobec:
An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal Images. ISBI 2020: 1271-1274 - [c1]Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. MICCAI (5) 2020: 480-489
Editorship
- 2021
- [e1]Manfredo Atzori, Nikolay Burlutskiy, Francesco Ciompi, Zhang Li, Fayyaz A. Minhas, Henning Müller, Tingying Peng, Nasir M. Rajpoot, Ben Torben-Nielsen, Jeroen van der Laak, Mitko Veta, Yinyin Yuan, Inti Zlobec:
MICCAI Workshop on Computational Pathology, COMPAY@MICCAI 2021, 27 September 2021, Virtual Event. Proceedings of Machine Learning Research 156, PMLR 2021 [contents]
Informal and Other Publications
- 2023
- [i4]Pedro C. Neto, Diana Montezuma, Sara Pires de Oliveira, Domingos Oliveira, João Fraga, Ana Monteiro, João C. Monteiro, Liliana Ribeiro, Sofia Gonçalves, Stefan Reinhard, Inti Zlobec, Isabel M. Pinto, Jaime S. Cardoso:
A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype. CoRR abs/2301.02608 (2023) - 2022
- [i3]Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer:
Towards IID representation learning and its application on biomedical data. CoRR abs/2203.00332 (2022) - 2021
- [i2]Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. CoRR abs/2108.09178 (2021) - 2020
- [i1]Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran:
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. CoRR abs/2007.03292 (2020)
Coauthor Index
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