8 citations · 17 across the 5 of their papers we have counts for
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physics.med-ph2023
DSC-MRI derived relative CBV maps synthesized from IVIM-MRI data:Application in glioma IDH mutation status identification
Lu Wang, Zhen Xing, Congbo Cai +3
Objectives:To develop a framework for obtaining dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) derived relative cerebral blood volume (rCBV) maps without gado…
eess.IV2023
FlexDTI: Flexible diffusion gradient encoding scheme-based highly efficient diffusion tensor imaging using deep learning
Zejun Wu, Jiechao Wang, Zunquan Chen +9
Objective: Most deep neural network-based diffusion tensor imaging methods require the diffusion gradients' number and directions in the data to be reconstructed to match those in…
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.…