# amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging

Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)

Repository: https://github.com/amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging
Canonical: https://ross.abutalabs.com/products/awesome-diffusion-models-in-medical-imaging
Homepage: https://www.sciencedirect.com/science/article/pii/S1361841523001068
License: MIT
License Family: permissive
Topics: ddpm, denoising, diffusion, diffusion-models, generation, generative-models, medical-imaging, reconstruction, sde, segmentation, vae, ncsn, deep-learning, machine-learning, score-based, score-matching
Last push: 2025-11-17T17:13:18+00:00

## Health v2 (maintenance only)
Score: 56/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 52, release rhythm 35, longevity 100
- inputs: {"age_days": 1439, "days_push": 289, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2109, forks 173 (observed 2026-08-28T04:06:14.148223+00:00)

## What it is
A curated awesome-list of research papers and survey articles on diffusion models applied to medical imaging, maintained alongside a published Medical Image Analysis survey. It organizes papers by task such as segmentation, denoising, reconstruction, and image generation.

## Use cases
- find papers on diffusion models for medical image segmentation
- survey of DDPM applications in medical imaging
- research reading list for generative models in healthcare
- find diffusion model papers for MRI reconstruction
- learn about denoising diffusion models in radiology
- find text-to-image medical imaging papers

## When to choose
- you need a curated, categorized bibliography of diffusion model research in medical imaging
- you are writing a literature review or survey on generative models in healthcare

## When to avoid
- you need runnable code or a software library rather than a paper collection
- you need general-purpose diffusion model resources outside medical imaging

## Facets
- artifact type: learning-resource
- maturity: active
- function: deep-learning, machine-learning, image-processing
- domain: healthcare, deep-learning, machine-learning, image-processing, awesome-lists
- platform: cross-platform
- tags: awesome-list, diffusion-models, medical-imaging, survey, papers, ddpm, generative-models

## Member repositories
- amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging (main) score 56

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:14.148223+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:53:50.537989+00:00, confidence not recorded.
  - readme: https://github.com/amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging (fetched 2026-08-28T04:06:14.148223+00:00, sha 42e170e94503)
- Data as of 2026-08-30T08:39:29.467469+00:00.