BibTex format
@article{Wang:2024:10.1038/s41597-024-03525-4,
author = {Wang, C and Lyu, J and Wang, S and Qin, C and Guo, K and Zhang, X and Yu, X and Li, Y and Wang, F and Jin, J and Shi, Z and Xu, Z and Tian, Y and Hua, S and Chen, Z and Liu, M and Sun, M and Kuang, X and Wang, K and Wang, H and Li, H and Chu, Y and Yang, G and Bai, W and Zhuang, X and Wang, H and Qin, J and Qu, X},
doi = {10.1038/s41597-024-03525-4},
journal = {SCIENTIFIC DATA},
title = {CMRxRecon: A publicly available <i>k</i>-space dataset and benchmark to advance deep learning for cardiac MRI},
url = {http://dx.doi.org/10.1038/s41597-024-03525-4},
volume = {11},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AU - Wang,C
AU - Lyu,J
AU - Wang,S
AU - Qin,C
AU - Guo,K
AU - Zhang,X
AU - Yu,X
AU - Li,Y
AU - Wang,F
AU - Jin,J
AU - Shi,Z
AU - Xu,Z
AU - Tian,Y
AU - Hua,S
AU - Chen,Z
AU - Liu,M
AU - Sun,M
AU - Kuang,X
AU - Wang,K
AU - Wang,H
AU - Li,H
AU - Chu,Y
AU - Yang,G
AU - Bai,W
AU - Zhuang,X
AU - Wang,H
AU - Qin,J
AU - Qu,X
DO - 10.1038/s41597-024-03525-4
PY - 2024///
TI - CMRxRecon: A publicly available <i>k</i>-space dataset and benchmark to advance deep learning for cardiac MRI
T2 - SCIENTIFIC DATA
UR - http://dx.doi.org/10.1038/s41597-024-03525-4
VL - 11
ER -