activity
20192022
most citedDeep Low-rank plus Sparse Network for Dynamic MR Imaging

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2022★ 2 cited

K-UNN: k-Space Interpolation With Untrained Neural Network

Zhuo-Xu Cui, Sen Jia, Qingyong Zhu +7

Recently, untrained neural networks (UNNs) have shown satisfactory performances for MR image reconstruction on random sampling trajectories without using additional full-sampled tr…

eess.IV2020★ 3 cited

Deep Low-rank plus Sparse Network for Dynamic MR Imaging

Wenqi Huang, Ziwen Ke, Zhuo-Xu Cui +6

In dynamic magnetic resonance (MR) imaging, low-rank plus sparse (L+S) decomposition, or robust principal component analysis (PCA), has achieved stunning performance. However, the…

physics.med-ph2020

Positive Contrast Susceptibility MR Imaging Using GPU-based Primal-Dual Algorithm

Haifeng Wang, Fang Cai, Caiyun Shi +7

The susceptibility-based positive contrast MR technique was applied to estimate arbitrary magnetic susceptibility distributions of the metallic devices using a kernel deconvolution…

eess.IV2019★ 1 cited

Accelerating MR Imaging via Deep Chambolle-Pock Network

Haifeng Wang, Jing Cheng, Sen Jia +8

Compressed sensing (CS) has been introduced to accelerate data acquisition in MR Imaging. However, CS-MRI methods suffer from detail loss with large acceleration and complicated pa…

physics.med-ph2019

Fast Calculation Method of Average g-Factor for Wave-CAIPI Imaging

Haifeng Wang, Zhilang Qiu, Shi Su +2

Wave-CAIPI MR imaging is a 3D imaging technique which can uniformize the g-factor maps and significantly reduce g-factor penalty at high acceleration factors. But it is time-consum…