Search Results for author: Inti Zlobec

Found 6 papers, 3 papers with code

Panoptic segmentation with highly imbalanced semantic labels

no code implementations3 Mar 2022 Josef Lorenz Rumberger, Elias Baumann, Peter Hirsch, Andrew Janowczyk, Inti Zlobec, Dagmar Kainmueller

We describe here the panoptic segmentation method we devised for our participation in the CoNIC: Colon Nuclei Identification and Counting Challenge at ISBI 2022.

Instance Segmentation Panoptic Segmentation +1

Towards IID representation learning and its application on biomedical data

1 code implementation1 Mar 2022 Jiqing Wu, Inti Zlobec, Maxime Lafarge, Yukun He, Viktor H. Koelzer

Compared to the SOTA baselines supported in WILDS, the results confirm the superior performance of IID representation learning on OOD tasks.

Benchmarking Representation Learning

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

1 code implementation20 Aug 2021 Christian Abbet, Linda Studer, Andreas Fischer, Heather Dawson, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran

In this work, we propose Self-Rule to Multi-Adapt (SRMA), which takes advantage of self-supervised learning to perform domain adaptation, and removes the necessity of fully-labeled source datasets.

Self-Supervised Learning Unsupervised Domain Adaptation

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

1 code implementation7 Jul 2020 Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran

In this work, we aim to learn histopathological patterns within cancerous tissue regions that can be used to improve prognostic stratification for colorectal cancer.

Clustering Deep Clustering +2

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