activity
20152024
most citedFast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction

17 citations · 25 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024★ 1 cited

An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping with Applications to Multicomponent Diffusion and Relaxation MRI

Yunsong Liu, Debdut Mandal, Congyu Liao +2

We introduce a new algorithm to solve a regularized spatial-spectral image estimation problem. Our approach is based on the linearized alternating directions method of multipliers…

eess.SP2020★ 2 cited

PALMNUT: An Enhanced Proximal Alternating Linearized Minimization Algorithm with Application to Separate Regularization of Magnitude and Phase

Yunsong Liu, Justin P. Haldar

We introduce a new algorithm for complex image reconstruction with separate regularization of the image magnitude and phase. This optimization problem is interesting in many differ…

eess.IV2019

Fast Sub-millimeter Diffusion MRI using gSlider-SMS and SNR-Enhancing Joint Reconstruction

Justin P. Haldar, Qiuyun Fan, Kawin Setsompop

We evaluate a new approach for achieving diffusion MRI data with high spatial resolution, large volume coverage, and fast acquisition speed. A recent method called gSlider-SMS enab…

physics.med-ph2015★ 5 cited

Projected Iterative Soft-thresholding Algorithm for Tight Frames in Compressed Sensing Magnetic Resonance Imaging

Yunsong Liu, Zhifang Zhan, Jian-Feng Cai +3

Compressed sensing has shown great potentials in accelerating magnetic resonance imaging. Fast image reconstruction and high image quality are two main issues faced by this new tec…

cs.CV2015★ 17 cited

Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction

Zhifang Zhan, Jian-Feng Cai, Di Guo +3

Objective: Improve the reconstructed image with fast and multi-class dictionaries learning when magnetic resonance imaging is accelerated by undersampling the k-space data. Methods…