15 citations · 21 across the 10 of their papers we have counts for
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eess.IV2023
A plug-and-play synthetic data deep learning for undersampled magnetic resonance image reconstruction
Min Xiao, Zi Wang, Jiefeng Guo +1
Magnetic resonance imaging (MRI) plays an important role in modern medical diagnostic but suffers from prolonged scan time. Current deep learning methods for undersampled MRI recon…
cs.CV2023★ 15 cited
CMRxRecon: An open cardiac MRI dataset for the competition of accelerated image reconstruction
Chengyan Wang, Jun Lyu, Shuo Wang +25
Cardiac magnetic resonance imaging (CMR) has emerged as a valuable diagnostic tool for cardiac diseases. However, a limitation of CMR is its slow imaging speed, which causes patien…