To access the challenge data, please submit the data agreement to CMRxRecon@outlook.com.
[31 May, 2023] Training data has been released. The training data include the CMR images, quality label and mannual segmentations.
[2 July, 2023] Validation data has been released. The validation data include the CMR images. The results can be evaluated from 6 July, 2023.
Please follow the instructions on Synapse to download the data.

You are free to use and/or refer to the CMRxRecon challenge and datasets in your own research after the embargo period (Dec 2023), provided that you cite the following manuscripts: 
Reference of the imaging acquisition protocol: 
Wang C, Li Y, Lv J, Jin J, Hu X, Kuang X, Chen W, Wang H. Recommendation for Cardiac Magnetic Resonance Imaging-Based Phenotypic Study: Imaging Part. Phenomics. 2021, 1(4): 151-170.
Wang S, Qin C, Wang C, et al. The Extreme Cardiac MRI Analysis Challenge under Respiratory Motion (CMRxMotion). arXiv preprint arXiv:2210.06385, 2022. 
   
Reference for previously developed reconstruction and segmentation algorithms:
 Wang C, Jang J, Neisius U, Nezafat M, Fahmy A, Kang J, Rodriguez J, Goddu B, Pierce P, Berg S, Zhang J, Wang XY, Nezafat R. Black blood myocardial T2 mapping. Magnetic resonance in medicine. 2019, 81(1): 153-166. 
Lyu J, Li G, Wang C, Qin C, Wang S, Qin J. Region-focused multi-view transformer-based generative adversarial network for cardiac cine MRI reconstruction[J]. Medical Image Analysis, 2023: 102760. https://doi.org/10.1016/j.media.2023.102760