Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Diffusion Models in Medical Imaging (Published in Medical Image Analysis Journal)
| Date | Stars |
|---|---|
| 2026-07-31 | 2109 |
| 2026-08-02 | 2109 |
| 2026-08-06 | 2109 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
# <p align=center>`Awesome Diffusion Models in Medical Imaging`</p> #
[](https://github.com/amirhossein-kz/Awesome-Diffusion-Models-in-Medical-Imaging)
[](https://opensource.org/licenses/MIT)
:fire::fire: This is a collection of awesome articles about diffusion models in medical imaging:fire::fire:
- Our survey paper on MedIA: [Diffusion Models in Medical Imaging: A Comprehensive Survey](https://www.sciencedirect.com/science/article/pii/S1361841523001068) :heart:
- Our survey paper on arXiv: [Diffusion Models for Medical Image Analysis: A Comprehensive Survey](https://arxiv.org/abs/2211.07804) :heart:
#### Citation
```python
@article{kazerouni2023diffusion,
title={Diffusion models in medical imaging: A comprehensive survey},
author={Kazerouni, Amirhossein and Aghdam, Ehsan Khodapanah and Heidari, Moein and Azad, Reza and Fayyaz, Mohsen and Hacihaliloglu, Ilker and Merhof, Dorit},
journal={Medical Image Analysis},
pages={102846},
year={2023},
publisher={Elsevier}
}
```
## Updates
- We have now achieved more than 1K stars 🌟—thank you community for your support! If you're interested in contributing to this repository, please don't hesitate to send me a message. Thank you!
- Check out our new paper accepted in MICCAI 2023 PRIME Workshop: [DermoSegDiff: A Boundary-aware Segmentation Diffusion Model for Skin Lesion Delineation](https://arxiv.org/abs/2308.02959) 🥳
- **Third release:** June 3, 2023
- :sunglasses: April 8, 2023: Our paper is accepted for publication in the **Medical Image Analysis Journal (IF: 13.83)** :sunglasses:
- **Second release:** March 29, 2023
- **First release:** November 14, 2022
## Contents
- [Survey Papers](#survey-papers)
- [Challenge Reports](#challenge-reports)
- [Papers](#papers)
- [Anomaly Detection](#anomaly-detection)
- [Denoising](#denoising)
- [Segmentation](#segmentation)
- [Image-to-Image Translation](#image-to-image-translation)
- [Reconstruction](#reconstruction)
- [Image Generation](#image-generation)
- [Text-to-Image](#text-to-image)
- [Registration](#registration)
- [Classification](#classification)
- [Object Detection](#object-detection)
- [Image Restoration](#image-restoration)
- [Inpainting](#inpainting)
- [Super Resolution](#super-resolution)
- [Enhancement](#enhancement)
- [Editing](#editing)
- [Adversarial Attacks](#adversarial-attacks)
- [Fairness](#fairness)
- [Time Series](#time-series)
- [Audio](#audio)
- [Other Applications](#other-applications)
- [Multi-task](#multi-task)
- [Multimodal Generation & Reconstruction](#multimodal-generation&reconstruction)
## Survey Papers
**Generative Artificial Intelligence in Medical Imaging: Foundations, Progress, and Clinical Translation** \
*Xuanru Zhou, Cheng Li, Shuqiang Wang, Ye Li, Tao Tan, Hairong Zheng, Shanshan Wang* \
[07th Aug., 2025] [arXiv, 2025] \
[[Paper](http://arxiv.org/abs/2508.09177v1)]
**Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review** \
*Abdullah, Tao Huang, Ickjai Lee, Euijoon Ahn* \
[09th May, 2025] [arXiv, 2025] \
[[Paper](http://arxiv.org/abs/2505.07866v1)]
**Diffusion Models in 3D Vision: A Survey** \
*Zhen Wang, Dongyuan Li, Yaozu Wu, Tianyu He, Jiang Bian, Renhe Jiang* \
[07th Oct., 2024] [arXiv, 2024] \
[[Paper](http://arxiv.org/abs/2410.04738v3)]
**Foundation Models for Music: A Survey** \
*Yinghao Ma, Anders Øland, Anton Ragni, Bleiz MacSen Del Sette, Charalampos Saitis, Chris Donahue, Chenghua Lin, Christos Plachouras, Emmanouil Benetos, Elona Shatri, Fabio Morreale, Ge Zhang, György Fazekas, Gus Xia, Huan Zhang, Ilaria Manco, Jiawen Huang, Julien Guinot, Liwei Lin, Luca Marinelli, Max W. Y. Lam, Megha Sharma, Qiuqiang Kong, Roger B. Dannenberg, Ruibin Yuan, Shangda Wu, Shih-Lun Wu, Shuqi Dai, Shun Lei, Shiyin Kang, Simon DixoExcerpt of 164,233 characters
Read on GitHub
202
28
10
5
4
1
1
1
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:1366ae9fc5db2fac, topic:deep-learning
matched fp:1366ae9fc5db2fac, topic:diffusion-models
matched fp:1366ae9fc5db2fac, name:medical imaging, desc:medical imaging