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Cancer Research|June 17, 2026
Counterfactual Diffusion Models Provide Interpretable Explanations of Artificial Intelligence Models in PathologyLaura Žigutytė, Tim Lenz, Tianyu Han, et al.
Medrxiv : the Preprint Server for Health Sciences|March 22, 2023
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation studyChiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, et al.
BMC Biology|October 8, 2024
Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor typesChiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, et al.
Neuro-Oncology Advances|December 18, 2023
Direct image to subtype prediction for brain tumors using deep learningKatherine J Hewitt, Chiara M L Löffler, Hannah Sophie Muti, et al.
Biorxiv : the Preprint Server for Biology|April 28, 2025
IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseasesChristina Plattner, Gregor Sturm, Anja A Kühl, et al.
Nature Communications|February 10, 2024
Regression-based Deep-Learning predicts molecular biomarkers from pathology slidesOmar S M El Nahhas, Chiara M L Loeffler, Zunamys I Carrero, et al.
Medrxiv : the Preprint Server for Health Sciences|February 20, 2025
Assessing Genotype-Phenotype Correlations with Deep Learning in Colorectal Cancer: A Multi-Centric StudyMarco Gustav, Marko van Treeck, Nic G Reitsam, et al.
The Lancet. Digital Health|August 19, 2025
Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort studyMarco Gustav, Marko van Treeck, Nic G Reitsam, et al.
Cell Reports. Medicine|September 21, 2023
Signaling-induced systematic repression of miRNAs uncovers cancer vulnerabilities and targeted therapy sensitivityAlexander A Wurm, Silke Brilloff, Sofia Kolovich, et al.
The Journal of Pathology|February 20, 2026
Deep learning-based H&E-derived risk scores in colorectal cancer: associations with tumour morphology, biology, and predicted drug responseNic G Reitsam, Xiaofeng Jiang, Junhao Liang, et al.
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