Diffusion Models in Medical Image Analysis
This is a curated list of diffusion models in medical image analysis.
Welcome to add papers by pulling request or raising issues.
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.11 |
Pierre Chambon & Akshay Chaudhari |
RoentGen: Vision-Language Foundation Model for Chest X-ray Generation |
arxiv |
| 2022.11 |
Firas Khader & Daniel Truhn |
Medical Diffusion -- Denoising Diffusion Probabilistic Models for 3D Medical Image Generation |
arxiv |
| 2022.11 |
Hazrat Ali & Zubair Shah |
Spot the fake lungs: Generating Synthetic Medical Images using Neural Diffusion Models |
arxiv |
| 2022.11 |
Kai Packhäuser & Andreas Maier |
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems |
arxiv |
| 2022.10 |
Pierre Chambon & Akshay Chaudhari |
Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains |
arxiv |
| 2022.09 |
Virginia Fernandez & M. Jorge Cardoso |
Can Segmentation Models Be Trained with Fully Synthetically Generated Data? |
MICCAI22-SASHIMI |
| 2022.09 |
Walter H. L. Pinaya & M. Jorge Cardoso |
Brain Imaging Generation with Latent Diffusion Models |
MICCAI22 DGM |
| 2022.07 |
Boah Kim & Jong Chul Ye |
Diffusion Deformable Model for 4D Temporal Medical Image Generation |
MICCAI2022, code |
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.09 |
Zhuo-Xu Cui & Dong Liang |
Self-Score: Self-Supervised Learning on Score-Based Models for MRI Reconstruction |
arxiv, code-TBA |
| 2022.08 |
Chentao Cao & Yanjie Zhu |
High-Frequency Space Diffusion Models for Accelerated MRI |
arxiv |
| 2022.07 |
Salman UH Dar & Tolga Çukur |
Adaptive Diffusion Priors for Accelerated MRI Reconstruction |
arxiv |
| 2022.07 |
Xiangxi Meng & Dinggang Shen |
A Novel Unified Conditional Score-based Generative Framework for Multi-modal Medical Image Completion |
arxiv |
| 2022.03 |
Cheng Peng & Rama Chellappa |
Towards performant and reliable undersampled MR reconstruction via diffusion model sampling |
MICCAI22, code |
| 2022.03 |
Yutong Xie & Quanzheng Li |
Measurement-conditioned Denoising Diffusion Probabilistic Model for Under-sampled Medical Image Reconstruction |
MICCAI22, code |
| 2022.02 |
Guanxiong Luo & Martin Uecker |
MRI Reconstruction via Data Driven Markov Chain with Joint Uncertainty Estimation |
arxiv, code |
| 2021.12 |
Hyungjin Chung & Jong Chul Ye |
Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction |
CVPR21 |
| 2021.10 |
Hyungjin Chung & Jong Chul Ye |
Score-based diffusion models for accelerated MRI |
MedIA, code |
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.09 |
Wenjun Xia & Ge Wang |
Low-Dose CT Using Denoising Diffusion Probabilistic Model for 20× Speedup |
arxiv |
| 2022.06 |
Hyungjin Chung & Jong Chul Ye |
Improving Diffusion Models for Inverse Problems using Manifold Constraints |
NeurIPS22, code |
| 2022.01 |
Dewei Hu & Ipek Oguz |
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model |
SPIE MI22, code |
| 2021.11 |
Yang Song & Stefano Ermon |
Solving Inverse Problems in Medical Imaging with Score-Based Generative Models |
ICLR22, code |
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.09 |
Kuang Gong & Tinsu Pan |
PET image denoising based on denoising diffusion probabilistic models |
arxiv |
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.11 |
Xie Taofeng & Wang Haifeng |
Brain PET Synthesis from MRI Using Joint Probability Distribution of Diffusion Model at Ultrahigh Fields |
arxiv |
| 2022.09 |
Qing Lyu & Ge Wang |
Conversion Between CT and MRI Images Using Diffusion and Score-Matching Models |
arxiv |
| 2022.07 |
Muzaffer Özbey & Tolga Çukur |
Unsupervised Medical Image Translation with Adversarial Diffusion Models |
arxiv, code |
| 2022.04 |
Julia Wolleb & Philippe C. Cattin |
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models |
arxiv |
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.07 |
Pedro Sanchez and Sotirios A. Tsaftaris |
What is Healthy? Generative Counterfactual Diffusion for Lesion Localization |
MICCAI22-DGM, code |
| 2022.06 |
Walter H. L. Pinaya & M. Jorge Cardos |
Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models |
arxiv |
| 2022.06 |
Julian Wyatt & Chris G. Willcocks |
AnoDDPM: Anomaly Detection with Denoising Diffusion Probabilistic Models using Simplex Noise |
CVPR22 Workshop, code |
| 2022.03 |
Julia Wolleb & Philippe C. Cattin |
Diffusion Models for Medical Anomaly Detection |
MICCAI22, code |
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.11 |
Mathias Öttl & Katharina Breininger |
Improved HER2 Tumor Segmentation with Subtype Balancing using Deep Generative Networks |
arxiv |
| 2022.11 |
Junde Wu & Yanwu Xu |
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model |
arxiv |
| 2022.10 |
Xutao Guo & Ting Ma |
Accelerating Diffusion Models via Pre-segmentation Diffusion Sampling for Medical Image Segmentation |
arxiv |
| 2022.10 |
Pouria Rouzrokh & Bradley J. Erickson |
Multitask Brain Tumor Inpainting with Diffusion Models: A Methodological Report |
arxiv, code |
| 2022.09 |
Boah Kim & Jong Chul Ye |
Diffusion Adversarial Representation Learning for Self-supervised Vessel Segmentation |
arxiv |
| 2021.06 |
Julia Wolleb & Philippe C. Cattin |
Diffusion Models for Implicit Image Segmentation Ensembles |
MILD22, code |
| Date |
First & Last Author |
Title |
Paper & Code |
| 2022.10 |
Boah Kim & Jong Chul Ye |
DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model |
ECCV22 |
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