Diffusion-Models-in-MedIA icon indicating copy to clipboard operation
Diffusion-Models-in-MedIA copied to clipboard

Published 20 hours ago • verified publisher icon JunMa11
→

Metadata

A curated list of diffusion models in medical image analysis.

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

← Metadata

80
Stars
6
Forks
Watchers

Owner

verified publisher icon JunMa11

Metadata

A curated list of diffusion models in medical image analysis.

Back