114 citations · 351 across the 33 of their papers we have counts for
4 papers · 1 filter
pISTA-SENSE-ResNet for Parallel MRI Reconstruction
Tieyuan Lu, Xinlin Zhang, Yihui Huang +6
Magnetic resonance imaging has been widely applied in clinical diagnosis, however, is limited by its long data acquisition time. Although imaging can be accelerated by sparse sampl…
Image Reconstruction with Low-rankness and Self-consistency of k-space Data in Parallel MRI
Xinlin Zhang, Di Guo, Yiman Huang +4
Parallel magnetic resonance imaging has served as an effective and widely adopted technique for accelerating scans. The advent of sparse sampling offers aggressive acceleration, al…
A Guaranteed Convergence Analysis for the Projected Fast Iterative Soft-Thresholding Algorithm in Parallel MRI
Xinlin Zhang, Hengfa Lu, Di Guo +4
The boom of non-uniform sampling and compressed sensing techniques dramatically alleviates the lengthy data acquisition problem of magnetic resonance imaging. Sparse reconstruction…
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Xiaobo Qu, Yihui Huang, Hengfa Lu +5
Nuclear magnetic resonance (NMR) spectroscopy serves as an indispensable tool in chemistry and biology but often suffers from long experimental time. We present a proof-of-concept…