Omar S M El Nahhas
8PUBLICATIONS
58CO-AUTHORS
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Publications (8)
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|Mar 26, 2026
Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study.Jan Clusmann, Paul-Henry Koop, David Y Zhang
|Oct 01, 2025
Benchmarking foundation models as feature extractors for weakly supervised computational pathology.Peter Neidlinger, Omar S M El Nahhas, Hannah Sophie Muti
|Mar 02, 2025
Multimodal histopathologic models stratify hormone receptor-positive early breast cancer.Kevin M Boehm, Omar S M El Nahhas, Antonio Marra
|Sep 16, 2024
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology.Omar S M El Nahhas, Marko van Treeck, Georg Wölflein
|May 07, 2024
Histopathological evaluation of abdominal aortic aneurysms with deep learning.Fiona R Kolbinger, Omar S M El Nahhas, Maja Carina Nackenhorst
|Feb 29, 2024
Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.Omar S M El Nahhas, Chiara M L Loeffler, Zunamys I Carrero
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Frequent Collaborators
8 joint publications
Jakob Nikolas Kather
3 joint publications
Fiona R Kolbinger
3 joint publications
Hermann Brenner
2 joint publications
Mara Graziani
2 joint publications
Antonio Marra
2 joint publications
Julien Calderaro
2 joint publications
Zunamys I Carrero
2 joint publications
Jorge S Reis-Filho
2 joint publications
Qinghe Zeng
2 joint publications
Sohrab P Shah
