Omar S. M. El Nahhas

Orcid: 0000-0002-2542-2117

According to our database1, Omar S. M. El Nahhas authored at least 10 papers between 2023 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

2023
2024
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Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Abnormality-Driven Representation Learning for Radiology Imaging.
CoRR, 2024

Benchmarking foundation models as feature extractors for weakly-supervised computational pathology.
CoRR, 2024

Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization.
CoRR, 2024

Autonomous Artificial Intelligence Agents for Clinical Decision Making in Oncology.
CoRR, 2024

In-context learning enables multimodal large language models to classify cancer pathology images.
CoRR, 2024

Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology.
CoRR, 2024

Joint Multi-task Learning Improves Weakly-Supervised Biomarker Prediction in Computational Pathology.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2023
From Whole-slide Image to Biomarker Prediction: A Protocol for End-to-End Deep Learning in Computational Pathology.
CoRR, 2023

A Good Feature Extractor Is All You Need for Weakly Supervised Learning in Histopathology.
CoRR, 2023

Regression-based Deep-Learning predicts molecular biomarkers from pathology slides.
CoRR, 2023


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