most citedOne for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

6 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2024★ 2 cited

Deep Separable Spatiotemporal Learning for Fast Dynamic Cardiac MRI

Zi Wang, Min Xiao, Yirong Zhou +13

Dynamic magnetic resonance imaging (MRI) plays an indispensable role in cardiac diagnosis. To enable fast imaging, the k-space data can be undersampled but the image reconstruction…

eess.IV2023★ 6 cited

One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction

Zi Wang, Xiaotong Yu, Chengyan Wang +25

Magnetic resonance imaging (MRI) is a widely used radiological modality renowned for its radiation-free, comprehensive insights into the human body, facilitating medical diagnoses.…