amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging
A comprehensive survey and curated list of research papers applying diffusion models to medical imaging tasks.
Not currently ranked — collecting fresh signals.
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This repository aggregates academic papers and resources on using diffusion models for medical image analysis, published in the Medical Image Analysis journal. It covers applications including anomaly detection, image denoising, reconstruction, segmentation, and generation across modalities like MRI, CT, and ultrasound. The collection includes survey papers, challenge reports, and implementations from the research community.
Frequently asked
- What is amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging?
- A comprehensive survey and curated list of research papers applying diffusion models to medical imaging tasks.
- Is Awesome-Diffusion-Models-in-Medical-Imaging open source?
- Yes — amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging is open source, released under the MIT license.
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- amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging has 2.1k stars on GitHub.
- Where can I find Awesome-Diffusion-Models-in-Medical-Imaging?
- amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging is on GitHub at https://github.com/amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging.