Inti Zlobec

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 11

Top Topics

Biomedical Data

Colorectal Cancer

Survival Analysis

Subgraph Isomorphism

Top Venues

Medical Image Anal.

Publications

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)
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 (2023)
Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer
Towards IID representation learning and its application on biomedical data. CoRR (2022)
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 (2022)
Jiqing Wu, Inti Zlobec, Maxime W. Lafarge, Yukun He, Viktor H. Koelzer
Towards IID representation learning and its application on biomedical data. MIDL (2022)
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 (2021)
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)
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)
Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. MICCAI (5) (2020)
Linda Studer, Jannis Wallau, Heather Dawson, Inti Zlobec, Andreas Fischer
Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks. ICPR (2020)
Christian Abbet, Inti Zlobec, Behzad Bozorgtabar, Jean-Philippe Thiran
Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. CoRR (2020)