Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. - Omar S. M. El Nahhas; Chiara Maria Lavinia Loeffler; Zunamys I. Carrero; Marko van Treeck; Fiona R. Kolbinger; Katherine Jane Hewitt; Hannah Sophie Muti; Mara Graziani; Qinghe Zeng; Julien Calderaro; Nadina Ortiz-Brüchle; Tanwei Yuan; et al. (CoRR, 2023)

A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology. - Georg Wölflein; Dyke Ferber; Asier Rabasco Meneghetti; Omar S. M. El Nahhas; Daniel Truhn; Zunamys I. Carrero; David J. Harrison; Ognjen Arandjelovic; Jakob Nikolas Kather (CoRR, 2023)

A Good Feature Extractor Is All You Need for Weakly Supervised Pathology Slide Classification. - Georg Wölflein; Dyke Ferber; Asier Rabasco Meneghetti; Omar S. M. El Nahhas; Daniel Truhn; Zunamys I. Carrero; David J. Harrison; Ognjen Arandjelovic; Jakob Nikolas Kather (ECCV Workshops (16), 2024)

Privacy-preserving large language models for structured medical information retrieval. - Isabella C. Wiest; Dyke Ferber; Jiefu Zhu; Marko van Treeck; Sonja K. Meyer; Radhika Juglan; Zunamys I. Carrero; Daniel Paech; Jens Kleesiek; Matthias P. Ebert; Daniel Truhn; Jakob Nikolas Kather (npj Digit. Medicine, 2024)

Three-dimensional end-to-end deep learning for brain MRI analysis. - Radhika Juglan; Marta Ligero; Zunamys I. Carrero; Asier Rabasco Meneghetti; Tim Lenz; Leo Misera; Gregory Patrick Veldhuizen; Paul Kuntke; Hagen H. Kitzler; Sven Nebelung; Daniel Truhn; Jakob Nikolas Kather (CoRR, 2025)