Omar S M El Nahhas

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 18

Top Topics

Prognostic Factors

Top Venues

Nature communications

Cancer research communications

medRxiv : the preprint server for health sciences

Nature protocols

This page only lists publications with an associated author ORCID identifier.

Publications

Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Fiona R Kolbinger, Omar S M El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Histopathological evaluation of abdominal aortic aneurysms with deep learning. medRxiv : the preprint server for health sciences (2024)
Fiona R Kolbinger, Omar S M El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Histopathological evaluation of abdominal aortic aneurysms with deep learning. medRxiv : the preprint server for health sciences (2024)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression. Cancer research communications 4 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression. Cancer research communications 4 (1) (2024)
Fiona R Kolbinger, Omar S M El Nahhas, Maja Carina Nackenhorst, Christine Brostjan, Wolf Eilenberg, Albert Busch, Jakob Nikolas Kather
Histopathological evaluation of abdominal aortic aneurysms with deep learning. medRxiv : the preprint server for health sciences (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Author Correction: Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly Supervised Deep Learning Predicts Immunotherapy Response in Solid Tumors Based on PD-L1 Expression. Cancer research communications 4 (1) (2024)
Omar S M El Nahhas, Chiara M L Loeffler, Zunamys Itzell Carrero, Marko van Treeck, Fiona R Kolbinger, Katherine J Hewitt, Hannah S Muti, Mara Graziani, Qinghe Zeng, Julien Calderaro, Nadina Ortiz-Brüchle, Tanwei Yuan, Michael Hoffmeister, Hermann Brenner, Alexander Brobeil, Jorge Sergio Reis-Filho, Jakob Nikolas Kather
Regression-based Deep-Learning predicts molecular biomarkers from pathology slides. Nature communications 15 (1) (2024)
Omar S M El Nahhas, Marko van Treeck, Georg Wölflein, Michaela Unger, Marta Ligero, Tim Lenz, Sophia J Wagner, Katherine J Hewitt, Firas Khader, Sebastian Foersch, Daniel Truhn, Jakob Nikolas Kather
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology. Nature protocols (2024)
Marta Ligero, Garazi Serna, Omar S M El Nahhas, Irene Sansano, Siarhei Mauchanski, Cristina Viaplana, Julien Calderaro, Rodrigo De Almeida Toledo, Rodrigo Dienstmann, Rami S Vanguri, Jennifer L Sauter, Francisco Sanchez-Vega, Sohrab P Shah, Santiago Ramón Y Cajal, Elena Garralda, Paolo G Nuciforo, Raquel Perez-Lopez, Jakob Nikolas Kather
Weakly supervised deep learning predicts immunotherapy response in solid tumors based on PD-L1 expression. Cancer research communications (2023)
Chiara Maria Lavinia Loeffler, Omar S M El Nahhas, Hannah Sophie Muti, Tobias Seibel, Didem Cifci, Marko van Treeck, Marco Gustav, Zunamys Itzell Carrero, Nadine Therese Gaisa, Kjong-van Lehmann, Alexandra Leary, Pier Selenica, Jorge Sergio Reis-Filho, Nadina Ortiz Bruechle, Jakob Nikolas Kather
Direct prediction of Homologous Recombination Deficiency from routine histology in ten different tumor types with attention-based Multiple Instance Learning: a development and validation study. medRxiv : the preprint server for health sciences (2023)