BibTex format
@article{Wang:2025:10.1016/j.media.2025.103616,
author = {Wang, Z and Yu, X and Wang, C and Chen, W and Wang, J and Chu, Y-H and Sun, H and Li, R and Li, P and Yang, F and Han, H and Kang, T and Lin, J and Yang, C and Chang, S and Shi, Z and Hua, S and Li, Y and Hu, J and Zhu, L and Zhou, J and Lin, M and Guo, J and Cai, C and Chen, Z and Guo, D and Yang, G and Qu, X},
doi = {10.1016/j.media.2025.103616},
journal = {MEDICAL IMAGE ANALYSIS},
title = {One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction},
url = {http://dx.doi.org/10.1016/j.media.2025.103616},
volume = {103},
year = {2025}
}
RIS format (EndNote, RefMan)
TY - JOUR
AU - Wang,Z
AU - Yu,X
AU - Wang,C
AU - Chen,W
AU - Wang,J
AU - Chu,Y-H
AU - Sun,H
AU - Li,R
AU - Li,P
AU - Yang,F
AU - Han,H
AU - Kang,T
AU - Lin,J
AU - Yang,C
AU - Chang,S
AU - Shi,Z
AU - Hua,S
AU - Li,Y
AU - Hu,J
AU - Zhu,L
AU - Zhou,J
AU - Lin,M
AU - Guo,J
AU - Cai,C
AU - Chen,Z
AU - Guo,D
AU - Yang,G
AU - Qu,X
DO - 10.1016/j.media.2025.103616
PY - 2025///
SN - 1361-8415
TI - One for multiple: Physics-informed synthetic data boosts generalizable deep learning for fast MRI reconstruction
T2 - MEDICAL IMAGE ANALYSIS
UR - http://dx.doi.org/10.1016/j.media.2025.103616
VL - 103
ER -