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.

Overview

• Image Synthesis
• Image Reconstruction
• Image Translation
• Detection
• Segmentation
• Miscellaneous

Image Synthesis

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

Image Reconstruction

MR

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

CT, OCT

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

PET

Date	First & Last Author	Title	Paper & Code
2022.09	Kuang Gong & Tinsu Pan	PET image denoising based on denoising diffusion probabilistic models	arxiv

Image Translation

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

Detection

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

Segmentation

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

Registration

Date	First & Last Author	Title	Paper & Code
2022.10	Boah Kim & Jong Chul Ye	DiffuseMorph: Unsupervised Deformable Image Registration Using Diffusion Model	ECCV22

Miscellaneous

• Awesome Diffusion Models