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:
Collaborative distances:
Timeline
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2024
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Bibliography
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
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
CoRR, 2023