Shuo Wang

PI
Digital Medical Research Center
Fudan University

[IEEE-TMI @IEEE_TMI]

Introducing CHeart, a novel conditional generative model for 4D cardiac anatomy. It generates realistic dynamic heart anatomies from imaging and non-imaging data, adapting to personalized demographics. Results demonstrate high fidelity and diversity. https://t.co/mZX2HEd74h

[CMRx4DFlow@MICCAI 2026 @CMRxRecon]

* We are pleased to announce that our challenge leaderboard has been released (validation). Welcome to participate!
* When preparing your data, you can refer to our data specifications in the website, as well as example code and toolkits provided on our GitHub repository.

[Chen Qin @Chen_Qin_ICL]

We are happy to announce that our 1st Fast Cardiac MR Imaging Challenge (CMRxRecon) is here at #MICCAI2023! Registration is now open! Take your chance to win the $$$ Prize!

[Shuo Wang @wangshuo26]

@cmrxmotion Congrats!

[CMRxMotion challenge @ MICCAI 2022 @cmrxmotion]

Huge congrats to all winner teams! Had a really good time with audience and presenters online and on-site! Thank you all for participating! See you next year!