MICCAI Challenges
In collaboration with my colleagues, we have organised the following medical image analysis challenges endorsed by MICCAI.
 | CMRxMotion: Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (2022)
[website] [dataset] [proceedings]
Host: MICCAI STACOM 2022
The aim of this challenge is to assess the effects of respiratory motion on CMR imaging quality and examine the robustness of segmentation models in face of respiratory motion artifacts. |
 | CMRxRecon: Cardiac MRI Reconstruction Challenge (2023)
[website] [dataset] [proceedings]
Host: MICCAI STACOM 2023
This challenge aims to provide a benchmark platform for the existing cine CMR reconstruction approaches to promote advances in this area of research. |
 | CMRxRecon: Cardiac MRI Reconstruction Challenge (2024)
[website] [dataset]
Host: MICCAI STACOM 2024
This challenge aims to provide a benchmark for accelerated CMR imaging with universal approaches that allow more diverse applications and better performance in real-world deployment in various environments. |
Public datasets
In collaboration with our clinical collaborators, we have released the following public datasets.
 | Newborn Ear Shape Dataset (BabyEar4k)
[code] [dataset] [paper]
We released a dataset that contains quality-controlled photos of 3,852 ears from 1,926 newborns, as well as the health data of each newborn and its mother. |
 | False Positive Polyp Detection-13 (FPPD-13)
[dataset] [paper]
The FPPD-13 dataset provides a taxonomy and real-world cases of typical false positives during computer-aided polyp detection in colonoscopy. |
