albarqouni/Deep-Learning-for-Medical-Applications
A curated list of peer-reviewed deep learning papers focused on medical image analysis and diagnostics.
Not currently ranked — collecting fresh signals.
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This repository is a categorized collection of research papers applying deep learning to medical imaging. Papers are organized by deep learning technique (CNN, autoencoders, etc.), imaging modality, and clinical application area. The list draws from top-tier journals and conferences in medical image analysis (MedIA, IEEE-TMI, MICCAI) from 2015 onward, providing a structured starting point for researchers working on AI-assisted medical diagnostics and healthcare applications.
Frequently asked
- What is albarqouni/Deep-Learning-for-Medical-Applications?
- A curated list of peer-reviewed deep learning papers focused on medical image analysis and diagnostics.
- Is Deep-Learning-for-Medical-Applications open source?
- Yes — albarqouni/Deep-Learning-for-Medical-Applications is open source, released under the GPL-3.0 license.
- What language is Deep-Learning-for-Medical-Applications written in?
- albarqouni/Deep-Learning-for-Medical-Applications is primarily written in TeX.
- How popular is Deep-Learning-for-Medical-Applications?
- albarqouni/Deep-Learning-for-Medical-Applications has 1.6k stars on GitHub.
- Where can I find Deep-Learning-for-Medical-Applications?
- albarqouni/Deep-Learning-for-Medical-Applications is on GitHub at https://github.com/albarqouni/Deep-Learning-for-Medical-Applications.