8 citations · 36 across the 11 of their papers we have counts for
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eess.IV2022★ 8 cited
High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning
Haitao Huang, Qinqin Yang, Jiechao Wang +3
Objective: Bloch simulation constitutes an essential part of magnetic resonance imaging (MRI) development. However, even with the graphics processing unit (GPU) acceleration, the h…
cs.LG2022★ 2 cited
Physics-driven Synthetic Data Learning for Biomedical Magnetic Resonance
Qinqin Yang, Zi Wang, Kunyuan Guo +2
Deep learning has innovated the field of computational imaging. One of its bottlenecks is unavailable or insufficient training data. This article reviews an emerging paradigm, imag…