# xinario/awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

Repository: https://github.com/xinario/awesome-gan-for-medical-imaging
Canonical: https://ross.abutalabs.com/products/awesome-gan-for-medical-imaging
License Family: other
Topics: generative-adversarial-network, medical-imaging, deeplearning, ct-denoising, segmentation, medical-image-synthesis, detection, reconstruction, gan, registration, super-resolution
Last push: 2022-05-29T21:59:19+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3297, "days_push": 1557, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2362, forks 447 (observed 2026-08-28T04:06:40.965948+00:00)

## What it is
A curated awesome-list of research papers and resources on generative adversarial networks (GANs) applied to medical imaging. It organizes papers by task such as low-dose CT denoising, segmentation, detection, synthesis, reconstruction, classification, and registration.

## Use cases
- find papers on GANs for medical image synthesis
- research low-dose CT denoising with deep learning
- survey GAN applications in medical imaging
- find GAN papers on medical image segmentation
- get started with deep learning for radiology image reconstruction
- find super-resolution and registration papers for medical scans

## When to choose
- you need a literature survey of GAN methods in medical imaging
- you want curated paper lists organized by imaging task
- you are starting research at the intersection of GANs and healthcare imaging

## When to avoid
- you need runnable code or a library rather than a paper list
- you want coverage of non-GAN deep learning methods in medical imaging
- you need actively updated content, as the list has not been refreshed recently

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, image-processing, computer-vision
- domain: healthcare, machine-learning, deep-learning, image-processing
- platform: cross-platform
- tags: awesome-list, gan, medical-imaging, ct-denoising, image-synthesis, segmentation, super-resolution, paper-list

## Member repositories
- xinario/awesome-gan-for-medical-imaging (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:40.965948+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 2026-08-30T02:36:05.332979+00:00, confidence not recorded.
  - readme: https://github.com/xinario/awesome-gan-for-medical-imaging (fetched 2026-08-28T04:06:40.965948+00:00, sha d4f187f01c4e)
- Data as of 2026-08-30T08:39:29.467469+00:00.