23 citations · 41 across the 19 of their papers we have counts for
7 papers · 1 filter
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…
Genetic underpinnings of brain structural connectome for young adults
Yize Zhao, Changgee Chang, Jingwen Zhang +1
With distinct advantages in power over behavioral phenotypes, brain imaging traits have become emerging endophenotypes to dissect molecular contributions to behaviors and neuropsyc…
Optimized Diffusion Imaging for Brain Structural Connectome Analysis
William Consagra, Arun Venkataraman, Zhengwu Zhang
High angular resolution diffusion imaging (HARDI) is a type of diffusion magnetic resonance imaging (dMRI) that measures diffusion signals on a sphere in q-space. It has been widel…
Learning Signal Subgraphs from Longitudinal Brain Networks with Symmetric Bilinear Logistic Regression
Lu Wang, Zhengwu Zhang
Modern neuroimaging technologies, combined with state-of-the-art data processing pipelines, have made it possible to collect longitudinal observations of an individual's brain conn…
Bayesian Hierarchical Modeling on Covariance Valued Data
Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya +1
Analysis of structural and functional connectivity (FC) of human brains is of pivotal importance for diagnosis of cognitive ability. The Human Connectome Project (HCP) provides an…
Tensor network factorizations: Relationships between brain structural connectomes and traits
Zhengwu Zhang, Genevera I. Allen, Hongtu Zhu +1
Advanced brain imaging techniques make it possible to measure individuals' structural connectomes in large cohort studies non-invasively. The structural connectome is initially sha…