Omar S. M. El Nahhas - Publications, H-index & Citations

Omar S. M. El Nahhas

Technische Universitat Dresden

13H指数

56论文数

655被引数

收录论文 11

发表时间

Abnormality-Driven Representation Learning for Radiology Imaging 异常驱动型放射学影像表征学习

MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2025, PT IV

IF0

2026-01-01

PREAI

Ligero, Marta; Lenz, Tim; Woelflein, Georg; El Nahhas, Omar S. M.; Truhn, Daniel; Kather, Jakob Nikolas

Benchmarking foundation models as feature extractors for weakly supervised computational pathology 将基础模型作为弱监督计算病理学中的特征提取器进行基准测试

Nature Biomedical Engineering

IF26.6

2025-10-01

OAAI

Peter Neidlinger; Omar S. M. El Nahhas; Hannah Sophie Muti; Tim Lenz; Michael Hoffmeister; Hermann Brenner; Marko van Treeck; Rupert Langer; Bastian Dislich; Hans Michael Behrens; Christoph Röcken; Sebastian Foersch; Daniel Truhn; Antonio Marra; Oliver Lester Saldanha; Jakob Nikolas Kather

Histopathological evaluation of abdominal aortic aneurysms with deep learning 基于深度学习的腹主动脉瘤组织病理学评估

DIAGNOSTIC PATHOLOGY

IF2.3

2025-09-16

OAAI

Kolbinger, Fiona R.; El Nahhas, Omar S. M.; Nackenhorst, Maja Carina; Brostjan, Christine; Eilenberg, Wolf; Busch, Albert; Kather, Jakob Nikolas

In-context learning enables multimodal large language models to classify cancer pathology images 上下文学习使多模态大语言模型能够对癌症病理图像进行分类

NATURE COMMUNICATIONS

IF15.7

2024-11-21

OAAI

Ferber, Dyke; Woelflein, Georg; Wiest, Isabella C.; Ligero, Marta; Sainath, Srividhya; Ghaffari Laleh, Narmin; El Nahhas, Omar S. M.; Mueller-Franzes, Gustav; Jaeger, Dirk; Truhn, Daniel; Kather, Jakob Nikolas

From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology 从全切片图像到生物标志物预测: 计算病理学中的端到端弱监督深度学习

NATURE PROTOCOLS

IF16

2024-09-16

PREAI

El Nahhas, Omar S. M.; van Treeck, Marko; Woelflein, Georg; Unger, Michaela; Ligero, Marta; Lenz, Tim; Wagner, Sophia J.; Hewitt, Katherine J.; Khader, Firas; Foersch, Sebastian; Truhn, Daniel; Kather, Jakob Nikolas

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides (vol 15, 1253, 2024)

NATURE COMMUNICATIONS

IF15.7

2024-02-29

OAAI

El Nahhas, Omar S. M.; Loeffler, Chiara M. L.; Carrero, Zunamys I.; van Treeck, Marko; Kolbinger, Fiona R.; Hewitt, Katherine J.; Muti, Hannah S.; Graziani, Mara; Zeng, Qinghe; Calderaro, Julien; Ortiz-Bruechle, Nadina; Yuan, Tanwei; Hoffmeister, Michael; Brenner, Hermann; Brobeil, Alexander; Reis-Filho, Jorge S.; Kather, Jakob Nikolas

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides 基于回归的深度学习预测病理切片中的分子生物标志物

NATURE COMMUNICATIONS

IF15.7

2024-02-10

OAAI

Direct image to subtype prediction for brain tumors using deep learning

NEURO-ONCOLOGY ADVANCES

IF4.1

2023-11-01

OAAI

Hewitt, Katherine J.; Loeffler, Chiara M. L.; Muti, Hannah Sophie; Berghoff, Anna Sophie; Eisenloeffel, Christian; van Treeck, Marko; Carrero, Zunamys, I; El Nahhas, Omar S. M.; Veldhuizen, Gregory P.; Weil, Sophie; Saldanha, Oliver Lester; Bejan, Laura; Millner, Thomas O.; Brandner, Sebastian; Brueckmann, Sascha; Kather, Jakob Nikolas

Enhancing immunotherapy response prediction via multimodal integration of radiology and pathology deep learning models

ANNALS OF ONCOLOGY

IF65.4

2023-10-01

OAAI

Ligero, M.; El Nahhas, O. S. M.; Prior Palomares, O.; Navarro, V.; Sansano, I.; Serna, G.; Mauchanski, S.; Toledo, R. D. A.; Dienstmann, R.; Ramon y Cajal, S.; Garralda, E.; Nuciforo, P. G.; Kather, J. N.; Perez Lopez, R.

Detection of alternative lengthening of telomeres (ALT) across cancer types based on tumor-normal multigene panel sequencing

ANNALS OF ONCOLOGY

IF65.4

2023-10-01

PREAI

Heredia, J. Blanco; Diplas, B. H.; El Nahhas, O. S. M.; Selenica, P.; Pareja, F.; Mandelker, D.; Weigelt, B.; Riaz, N.; Rosen, E.; Sfeir, A.; Reis-Filho, J. S.

Regression-based deep-learning predicts breast cancer recurrence risk score from pathology slides 基于回归的深度学习从病理幻灯片预测乳腺癌复发风险评分

ANNALS OF ONCOLOGY

IF65.4

2023-10-01

OAAI

El Nahhas, O. S. M.; Loeffler, C. M. L.; Marra, A.; Carrero, Z.; Pareja, F.; Wen, H.; Weigelt, B.; Selenica, P.; Chandarlapaty, S.; Reis-Filho, J. S.; Kather, J. N.

研究方向