amirhossein-kz / awesome-diffusion-models-in-medical-imaging Goto Github PK

Hi! Thanks for the collection of amazing papers.

Is it possible to add the following article to the list:

SANO: Score-Based Diffusion Model for Anomaly Localization in Dermatology
Alvaro Gonzalez-Jimenez, Simone Lionetti, Marc Pouly, Alexander A. Navarini
[18th Jun., 2023] [CVPR Workshop, 2023]
[Paper]

Thanks for the great efforts.

Can you update the information of paper, Generating Realistic 3D Brain MRIs Using a Conditional Diffusion Probabilistic Model, it is accepted by MICCAI 2023. Thanks a lot~

The [Paper] hyperlink of the last two entries in "Reconstruction"

Score-based diffusion models for accelerated MRI
Hyungjin Chung, Jong chul Ye
[8th Oct., 2021] [MIA, 2021]

and

Robust Compressed Sensing MRI with Deep Generative Priors
Ajil Jalal, Marius Arvinte, Giannis Daras, Eric Price, Alexandros G. Dimakis, Jonathan I. Tamir
[3rd Aug., 2021] [NeurIPS, 2021]

both link to

Solving Inverse Problems in Medical Imaging with Score-Based Generative Models
Yang Song, Liyue Shen, Lei Xing, Stefano Ermon
[15th Nov., 2021] [ICLR, 2022].

Thank you all so much for the survey paper!

EDIT:
I just noticed, the [Paper] hyperlink of the last entry in "Image Generation"

Three-Dimensional Medical Image Synthesis with Denoising Diffusion Probabilistic Models
Zolnamar Dorjsembe, Sodtavilan Odonchimed, Furen Xiao
[22nd Apr., 2022] [MIDL, 2022]

links to

Diffusion Deformable Model for 4D Temporal Medical Image Generation
Boah Kim, Jong Chul Ye
[27th Jan., 2022] [MICCAI, 2022].

Hello, can you kindly add our new survey paper on tabular/time series data? Its information is as follows:

A Comprehensive Survey on Generative Diffusion Models for Structured Data
Heejoon Koo, To Eun Kim
arXiv 2023. [Paper]
7 Jun 2023

Thank you,
Heejoon

This is the last paper in the Image Generation category.

Three-Dimensional Medical Image Synthesis with Denoising Diffusion Probabilistic Models
Zolnamar Dorjsembe, Sodtavilan Odonchimed, Furen Xiao
[22nd Apr., 2022] [MIDL, 2022]
[Paper] [Github]

The GitHub link for the above paper is here, and it is not yet publicly available.

Hello,

Can you kindly add our work published in CVPR23? We have released the code on Github.

Its information is as follows:

BBDM: Image-to-image Translation with Brownian Bridge Diffusion Models, Bo Li, Kaitao Xue, Bin Liu, Yu-Kun Lai, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, BC, Canada, 2023, pp. 1952-1961
Code: https://github.com/xuekt98/BBDM

Best regards
Bo

~