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04/27/2023
Diffusion MRI Prediction and Harmonization through Q-space Modeling
We propose a novel nonparametric model for diffusion MRI signal in q-spa...
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07/18/2022
Spatial Autoregressive Model for von-Mises Fisher Distributed Principal Diffusion Directions
The principal diffusion directions are one of the most important statist...
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06/20/2022
Double soft-thresholded model for multi-group scalar on vector-valued image regression
In this paper, we develop a novel spatial variable selection method for ...
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03/29/2021
Statistical Inference of Auto-correlated Eigenvalues with Applications to Diffusion Tensor Imaging
Diffusion tensor imaging (DTI) is a prevalent neuroimaging tool in analy...
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12/24/2020
Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm
Positive-definite matrix-variate data is becoming popular in computer vi...
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09/02/2020
A Joint Spatial Conditional Auto-Regressive Model for Estimating HIV Prevalence Rates Among Key Populations
Ending the HIV/AIDS pandemic is among the Sustainable Development Goals ...
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06/15/2019
Probabilistic Diffusion MRI Fiber Tracking Using a Directed Acyclic Graph Auto-Regressive Model of Positive Definite Matrices
Diffusion MRI is a neuroimaging technique measuring the anatomical struc...
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04/08/2019
Geostatistical Modeling of Positive Definite Matrices and Its Applications to Diffusion Tensor Imaging
Geostatistical modeling for continuous point-referenced data has been ex...
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03/18/2019