The human body at cellular resolution: the NIH Human Biomolecular Atlas Program. - Michael P. Snyder; Shin Lin; Amanda Posgai; Mark Atkinson; Aviv Regev; Jennifer Rood; Orit Rozenblatt-Rosen; Leslie Gaffney; Anna Hupalowska; Rahul Satija; Nils Gehlenborg; Jay Shendure; et al. (Nat., 2019)

Hidden in Plain Sight: Subgroup Shifts Escape OOD Detection. - Lisa M. Koch; Christian M. Schürch; Arthur Gretton; Philipp Berens (MIDL, 2022)

CellSeg: a robust, pre-trained nucleus segmentation and pixel quantification software for highly multiplexed fluorescence images. - Michael Y. Lee; Jacob S. Bedia; Salil S. Bhate; Graham L. Barlow; Darci Phillips; Wendy J. Fantl; Garry P. Nolan; Christian M. Schürch (BMC Bioinform., 2022)

Studying Therapy Effects and Disease Outcomes in Silico using Artificial Counterfactual Tissue Samples. - Martin Paulikat; Christian M. Schürch; Christian F. Baumgartner (CoRR, 2023)

Deep Hypothesis Tests Detect Clinically Relevant Subgroup Shifts in Medical Images. - Lisa M. Koch; Christian M. Schürch; Christian F. Baumgartner; Arthur Gretton; Philipp Berens (CoRR, 2023)

A review on deep learning applications in highly multiplexed tissue imaging data analysis. - Mohammed Zidane; Ahmad Makky; Matthias Bruhns; Alexander Rochwarger; Sepideh Babaei; Manfred Claassen; Christian M. Schürch (Frontiers Bioinform., 2023)

Corrigendum: A review on deep learning applications in highly multiplexed tissue imaging data analysis. - Mohammed Zidane; Ahmad Makky; Matthias Bruhns; Alexander Rochwarger; Sepideh Babaei; Manfred Claassen; Christian M. Schürch (Frontiers Bioinform., 2023)

S3-CIMA: Supervised spatial single-cell image analysis for identifying disease-associated cell-type compositions in tissue. - Sepideh Babaei; Jonathan Christ; Vivek Sehra; Ahmad Makky; Mohammed Zidane; Kilian Wistuba-Hamprecht; Christian M. Schürch; Manfred Claassen (Patterns, 2023)

Pathologist-like explainable AI for interpretable Gleason grading in prostate cancer. - Gesa Mittmann; Sara Laiouar-Pedari; Hendrik Alexander Mehrtens; Sarah Haggenmüller; Tabea-Clara Bucher; Tirtha Chanda; Nadine T. Gaisa; Mathias Wagner; Gilbert Georg Klamminger; Tilman T. Rau; Christina Neppl; Eva Maria Compérat; et al. (CoRR, 2024)

A Foundation Model for Spatial Proteomics. - Muhammad Shaban; Yuzhou Chang; Huaying Qiu; Yao Yu Yeo; Andrew H. Song; Guillaume Jaume; Yuchen Wang; Luca L. Weishaupt; Tong Ding; Anurag Vaidya; Abdallah Lamane; Daniel Shao; et al. (CoRR, 2025)