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20212026
most citedApproximate Message Passing with Parameter Estimation for Heavily Quantized Measurements

8 citations · 8 across the 8 of their papers we have counts for

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eess.IV2026

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…

eess.IV2024

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…

eess.IV2023

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…

eess.IV2022

Robust Quantitative Susceptibility Mapping via Approximate Message Passing with Parameter Estimation

Shuai Huang, James J. Lah, Jason W. Allen +1

Purpose: For quantitative susceptibility mapping (QSM), the lack of ground-truth in clinical settings makes it challenging to determine suitable parameters for the dipole inversion…

eess.IV2021

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…