4 citations · 4 across the 6 of their papers we have counts for
6 papers
Nonparametric Modeling of Diffusion MRI Signal in Q-space
Arkaprava Roy, Zhou Lan, Zhengwu Zhang
This paper describes a novel nonparametric model for modeling diffusion MRI signals in q-space. In q-space, diffusion MRI signal is measured for a sequence of magnetic strengths (b…
Spatial von-Mises Fisher Regression for Directional Data
Zhou Lan, Arkaprava Roy
Spatially varying directional data are routinely observed in several modern applications such as meteorology, biology, geophysics, engineering, etc. However, only a few approaches…
Double soft-thresholded model for multi-group scalar on vector-valued image regression
Arkaprava Roy, Zhou Lan
In this paper, we develop a novel spatial variable selection method for scalar on vector-valued image regression in a multi-group setting. Here, 'vector-valued image' refers to the…
Statistical Inference of Auto-correlated Eigenvalues with Applications to Diffusion Tensor Imaging
Zhou Lan
Diffusion tensor imaging (DTI) is a prevalent neuroimaging tool in analyzing the anatomical structure. The distinguishing feature of DTI is that the voxel-wise variable is a 3x3 po…
Correlated Wishart Matrices Classification via an Expectation-Maximization Composite Likelihood-Based Algorithm
Zhou Lan
Positive-definite matrix-variate data is becoming popular in computer vision. The computer vision data descriptors in the form of Region Covariance Descriptors (RCD) are positive d…
A Spatial Bayesian Semiparametric Mixture Model for Positive Definite Matrices with Applications to Diffusion Tensor Imaging
Zhou Lan, Brian J. Reich, Dipankar Bandyopadhyay
Diffusion tensor imaging (DTI) is a popular magnetic resonance imaging technique used to characterize microstructural changes in the brain. DTI studies quantify the diffusion of wa…