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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…
stat.AP2023
Mixture of regressions with multivariate responses for discovering subtypes in Alzheimer's biomarkers with detection limits
Ganzhong Tian, John Hanfelt, James Lah +1
There is no gold standard for the diagnosis of Alzheimer's disease (AD), except from autopsies. Unsupervised learning can provide insight into the pathophysiology of AD. A mixture…