Classification of Intestinal Gland Cell-Graphs Using Graph Neural Networks. - Linda Studer; Jannis Wallau; Heather Dawson; Inti Zlobec; Andreas Fischer 002 (ICPR, 2020)

An Effective Deep Learning Architecture Combination for Tissue Microarray Spots Classification of H&E Stained Colorectal Images. - Huu-Giao Nguyen; Annika Blank; Alessandro Lugli; Inti Zlobec (ISBI, 2020)

Divide-and-Rule: Self-Supervised Learning for Survival Analysis in Colorectal Cancer. - Christian Abbet; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (MICCAI (5), 2020)

Self-Rule to Adapt: Learning Generalized Features from Sparsely-Labeled Data Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Phenotyping. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (MIDL, 2021)

Self-Rule to Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (CoRR, 2021)

Towards IID representation learning and its application on biomedical data. - Jiqing Wu; Inti Zlobec; Maxime W. Lafarge; Yukun He; Viktor H. Koelzer (MIDL, 2022)

Detection of lung cancer metastases in lymph nodes using a multiple instance learning approach. - Mauro Gwerder; Amjad Khan 002; Christina Neppl; Inti Zlobec (Digital and Computational Pathology, 2022)

Group affinity weakly supervised segmentation from prior selected tissue in colorectal histopathology images. - Huu-Giao Nguyen; Amjad Khan 002; Heather Dawson; Alessandro Lugli; Inti Zlobec (Digital and Computational Pathology, 2022)

Self-rule to multi-adapt: Generalized multi-source feature learning using unsupervised domain adaptation for colorectal cancer tissue detection. - Christian Abbet; Linda Studer; Andreas Fischer 002; Heather Dawson; Inti Zlobec; Behzad Bozorgtabar; Jean-Philippe Thiran (Medical Image Anal., 2022)

Tumor Budding T-cell Graphs: Assessing the Need for Resection in pT1 Colorectal Cancer Patients. - Linda Studer; John-Melle Bokhorst; Iris D. Nagtegaal; Inti Zlobec; Heather Dawson; Andreas Fischer 002 (MIDL, 2023)

A CAD System for Colorectal Cancer from WSI: A Clinically Validated Interpretable ML-based Prototype. - 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; et al. (CoRR, 2023)

HoVer-NeXt: A Fast Nuclei Segmentation and Classification Pipeline for Next Generation Histopathology. - Elias Baumann; Bastian Dislich; Josef Lorenz Rumberger; Iris D. Nagtegaal; María Rodríguez Martínez; Inti Zlobec (MIDL, 2024)

GrEp: Graph-based epithelial cell classification refinement in histopathology H&E images. - Ana Leni Frei; Javier Garcia-Baroja; Tilman T. Rau; Christina Neppl; Alessandro Lugli; Wiebke Solass; Martin Wartenberg; Andreas Fischer 002; Inti Zlobec (Pattern Recognit., 2026)