3 citations · 3 across the 5 of their papers we have counts for
5 papers
Laplace-Mixture Dipole Inversion for Quantitative Susceptibility Mapping
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: To develop an automatic dipole inversion method for quantitative susceptibility mapping (QSM) that preserves fine anatomical structures without the need for manual regular…
Atlas-free Brain Network Transformer
Shuai Huang, Xuan Kan, James J. Lah +1
Current atlas-based approaches to brain network analysis rely heavily on standardized anatomical or connectivity-driven brain atlases. However, these fixed atlases often introduce…
Improving the Test-retest Reliability of Quantitative Susceptibility Mapping
Shuai Huang, Thomas Denney, Deqiang Qiu
Motivation - The test-retest reliability of quantitative susceptibility mapping (QSM) is affected by parameters of the acquisition protocol such as the angulation of acquisition pl…
Model-based T1, T2* and Proton Density Mapping Using a Bayesian Approach with Parameter Estimation and Complementary Undersampling Patterns
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: To achieve automatic hyperparameter estimation for the joint recovery of quantitative MR images, we propose a Bayesian formulation of the reconstruction problem that incor…
A Probabilistic Bayesian Approach to Recover map and Phase Images for Quantitative Susceptibility Mapping
Shuai Huang, James J. Lah, Jason W. Allen +1
Purpose: Undersampling is used to reduce the scan time for high-resolution 3D magnetic resonance imaging. In order to achieve better image quality and avoid manual parameter tuning…