amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging
A comprehensive survey and curated list of research papers applying diffusion models to medical imaging tasks.

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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.