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08/10/2023
Continuous and Atlas-free Analysis of Brain Structural Connectivity
Brain structural networks are often represented as discrete adjacency ma...
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05/25/2023
High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging Analysis
There is increasing interest in modeling high-dimensional longitudinal o...
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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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12/02/2022
Genetic underpinnings of brain structural connectome for young adults
With distinct advantages in power over behavioral phenotypes, brain imag...
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11/01/2022
Tree Representations of Brain Structural Connectivity via Persistent Homology
The brain structural connectome is generated by a collection of white ma...
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06/22/2022
Analyzing Brain Structural Connectivity as Continuous Random Functions
This work considers a continuous framework to characterize the populatio...
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05/12/2022
Outlier Detection for Multi-Network Data
It has become routine in neuroscience studies to measure brain networks ...
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04/04/2022
Low Tree-Rank Bayesian Vector Autoregression Model
Vector autoregressions have been widely used for modeling and analysis o...
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07/29/2021
Amplitude Mean of Functional Data on 𝕊^2
Manifold-valued functional data analysis (FDA) recently becomes an activ...
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02/24/2021
Optimized Diffusion Imaging for Brain Structural Connectome Analysis
High angular resolution diffusion imaging (HARDI), a type of diffusion m...
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12/19/2020
High-Dimensional Spatial Quantile Function-on-Scalar Regression
This paper develops a novel spatial quantile function-on-scalar regressi...
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10/08/2020
Multivariate functional responses low rank regression with an application to brain imaging data
We propose a multivariate functional responses low rank regression model...
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10/05/2020
Multi-scale graph principal component analysis for connectomics
In brain connectomics, the cortical surface is parcellated into differen...
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11/07/2019
Auto-encoding graph-valued data with applications to brain connectomes
Our interest focuses on developing statistical methods for analysis of b...
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10/21/2019
Soft Tensor Regression
Statistical methods relating tensor predictors to scalar outcomes in a r...
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08/15/2019
Learning Signal Subgraphs from Longitudinal Brain Networks with Symmetric Bilinear Logistic Regression
Modern neuroimaging technologies, combined with state-of-the-art data pr...
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04/26/2019
Discovering Common Change-Point Patterns in Functional Connectivity Across Subjects
This paper studies change-points in human brain functional connectivity ...
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04/10/2019
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices
Human brain functional connectivity (FC) is often measured as the simila...
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11/02/2018
Bayesian Hierarchical Modeling on Covariance Valued Data
Analysis of structural and functional connectivity (FC) of human brains ...
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06/07/2018
Tensor network factorizations: Relationships between brain structural connectomes and traits
Advanced brain imaging techniques make it possible to measure individual...
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05/11/2018
Robust Comparison of Kernel Densities on Spherical Domains
While spherical data arises in many contexts, including in directional s...
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04/25/2018
Symmetric Bilinear Regression for Signal Subgraph Estimation
There is increasing interest in learning a set of small outcome-relevant...
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07/20/2017
Common and Individual Structure of Multiple Networks
This article focuses on the problem of studying shared- and individual-s...
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01/05/2016
Low-Rank Representation over the Manifold of Curves
In machine learning it is common to interpret each data point as a vecto...
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04/01/2015
Bayesian Clustering of Shapes of Curves
Unsupervised clustering of curves according to their shapes is an import...
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03/23/2015
