Omar M. El Nahhas

Dresden, SN, Germany

Last Updated: 09/26/2026

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Found 15 publications

Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study.

Machine Learning Predicts Hepatocellular Carcinoma Risk from Routine Clinical Data: A Large Population-Based Multicentric Study.

Journal: Cancer discovery

Published: July 30, 2025

Histopathological evaluation of abdominal aortic aneurysms with deep learning.

Histopathological evaluation of abdominal aortic aneurysms with deep learning.

Journal: Diagnostic pathology

Published: February 04, 2025

Benchmarking foundation models as feature extractors for weakly supervised computational pathology.

Benchmarking foundation models as feature extractors for weakly supervised computational pathology.

Journal: Nature biomedical engineering

Published: August 28, 2024

Multimodal histopathologic models stratify hormone receptor-positive early breast cancer.

Multimodal histopathologic models stratify hormone receptor-positive early breast cancer.

Journal: Nature communications

Published: August 19, 2024

Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology.

Development and validation of an autonomous artificial intelligence agent for clinical decision-making in oncology.

Journal: Nature cancer

Published: August 13, 2024

Artificial intelligence-based biomarkers for treatment decisions in oncology.

Artificial intelligence-based biomarkers for treatment decisions in oncology.

Journal: Trends in cancer

Published: July 02, 2024

Histopathological evaluation of abdominal aortic aneurysms with deep learning.

Histopathological evaluation of abdominal aortic aneurysms with deep learning.

Journal: medRxiv : the preprint server for health sciences

Published: May 07, 2024

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.

Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.

Journal: Nature communications

Published: February 29, 2024

In-context learning enables multimodal large language models to classify cancer pathology images.

In-context learning enables multimodal large language models to classify cancer pathology images.

Journal: Nature communications

Published: January 13, 2024

Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types.

Prediction of homologous recombination deficiency from routine histology with attention-based multiple instance learning in nine different tumor types.

Journal: BMC biology

Published: January 08, 2024

Direct image to subtype prediction for brain tumors using deep learning.

Direct image to subtype prediction for brain tumors using deep learning.

Journal: Neuro-oncology advances

Published: December 18, 2023

From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology.

From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology.

Journal: Nature protocols

Published: December 17, 2023

Showing 1-12 of 15

Last Updated: 09/26/2026