12 citations · 33 across the 13 of their papers we have counts for
5 papers · 1 filter
A Differential Degree Test for Comparing Brain Networks
Ixavier A Higgins, Ying Guo, Suprateek Kundu +2
Recently, graph theory has become a popular method for characterizing brain functional organization. One important goal in graph theoretical analysis of brain networks is to identi…
A hierarchical independent component analysis model for longitudinal Neuroimaging studies
Yikai Wang, Ying Guo
In recent years, longitudinal neuroimaging study has become increasingly popular in neuroscience research to investigate disease-related changes in brain functions. In current neur…
HINT: A Hierarchical Independent Component Analysis Toolbox for Investigating Brain Functional Networks using Neuroimaging Data
Joshua Lukemire, Yikai Wang, Amit Verma +1
Independent component analysis (ICA) is a popular tool for investigating brain organization in neuroscience research. In fMRI studies, an important goal is to study how brain netwo…
Integrative Bayesian Analysis of Brain Functional Networks Incorporating Anatomical Knowledge
Ixavier A. Higgins, Suprateek Kundu, Ying Guo
Recently, there has been increased interest in fusing multimodal imaging to better understand brain organization. Specifically, accounting for knowledge of anatomical pathways conn…
Statistical methods for characterizing transfusion-related changes in regional oxygenation using Near-infrared spectroscopy (NIRS) in preterm infants
Ying Guo, Yikai Wang, Terri Marin +3
Near infrared spectroscopy (NIRS) is an imaging-based diagnostic tool that provides non-invasive and continuous evaluation of regional tissue oxygenation in real-time. In recent ye…