2 citations · 4 across the 3 of their papers we have counts for
6 papers
Accelerated MRI Reconstruction with Separable and Enhanced Low-Rank Hankel Regularization
Xinlin Zhang, Hengfa Lu, Di Guo +5
The combination of the sparse sampling and the low-rank structured matrix reconstruction has shown promising performance, enabling a significant reduction of the magnetic resonance…
Spatiotemporal Flexible Sparse Reconstruction for Rapid Dynamic Contrast-enhanced MRI
Yuhan Hu, Xinlin Zhang, Li Feng +6
Dynamic Contrast-enhanced magnetic resonance imaging (DCE-MRI) is a tissue perfusion imaging technique. Some versatile free-breathing DCE-MRI techniques combining compressed sensin…
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…
Impact of Residual Transmit RF Impairments on Training-Based MIMO Systems
Xinlin Zhang, Michail Matthaiou, Mikael Coldrey +1
Radio-frequency (RF) impairments, which intimately exist in wireless communication systems, can severely limit the performance of multiple-input multiple-output (MIMO) systems. Alt…