A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis. - Linda Studer; Michele Alberti; Vinaychandran Pondenkandath; Pinar Goktepe; Thomas Kolonko; Andreas Fischer 002; Marcus Liwicki; Rolf Ingold (ICDAR, 2019)

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

Effects of Graph Pooling Layers on Classification with Graph Neural Networks. - Linda Studer; Jannis Wallau; Rolf Ingold; Andreas Fischer 002 (SDS, 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)

Annotation-Free Keyword Spotting in Historical Vietnamese Manuscripts Using Graph Matching. - Anna Scius-Bertrand; Linda Studer; Andreas Fischer 002; Marc Bui (S+SSPR, 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)

Deep learning-based histopathologic segmentation of peritubular capillaries in kidney transplant biopsies. - Dominique van Midden; Linda Studer; Meyke Hermsen; Eric J. Steenbergen; Jesper Kers; Nicolas Kozakowski; Zeljko Kikic; Luuk Hilbrands; Jeroen A. W. M. van der Laak (Comput. Biol. Medicine, 2025)