576 citations · 827 across the 28 of their papers we have counts for
9 papers · 1 filter
Statistical learning methods for neuroimaging data analysis with applications
Hongtu Zhu, Tengfei Li, Bingxin Zhao
The aim of this paper is to provide a comprehensive review of statistical challenges in neuroimaging data analysis from neuroimaging techniques to large-scale neuroimaging studies…
ACE of Space: Estimating Genetic Components of High-Dimensional Imaging Data
Benjamin B. Risk, Hongtu Zhu
It is of great interest to quantify the contributions of genetic variation to brain structure and function, which are usually measured by high-dimensional imaging data (e.g., magne…
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…
Bayesian spatial transformation models with applications in neuroimaging data
Michelle F. Miranda, Hongtu Zhu, Joseph G. Ibrahim
The aim of this paper is to develop a class of spatial transformation models (STM) to spatially model the varying association between imaging measures in a three-dimensional (3D) v…
Bayesian analysis of ambulatory blood pressure dynamics with application to irregularly spaced sparse data
Zhao-Hua Lu, Sy-Miin Chow, Andrew Sherwood +1
Ambulatory cardiovascular (CV) measurements provide valuable insights into individuals' health conditions in "real-life," everyday settings. Current methods of modeling ambulatory…
TPRM: Tensor partition regression models with applications in imaging biomarker detection
Michelle F. Miranda, Hongtu Zhu, Joseph G. Ibrahim
Medical imaging studies have collected high dimensional imaging data to identify imaging biomarkers for diagnosis, screening, and prognosis, among many others. These imaging data a…
Multiscale adaptive smoothing models for the hemodynamic response function in fMRI
Jiaping Wang, Hongtu Zhu, Jianqing Fan +2
In the event-related functional magnetic resonance imaging (fMRI) data analysis, there is an extensive interest in accurately and robustly estimating the hemodynamic response funct…
Varying coefficient model for modeling diffusion tensors along white matter tracts
Ying Yuan, Hongtu Zhu, Martin Styner +2
Diffusion tensor imaging provides important information on tissue structure and orientation of fiber tracts in brain white matter in vivo. It results in diffusion tensors, which ar…
Two-stage empirical likelihood for longitudinal neuroimaging data
Xiaoyan Shi, Joseph G. Ibrahim, Jeffrey Lieberman +3
Longitudinal imaging studies are essential to understanding the neural development of neuropsychiatric disorders, substance use disorders, and the normal brain. The main objective…