22 citations · 41 across the 7 of their papers we have counts for
4 papers · 1 filter
A Bayesian Downscaler Model to Estimate Daily PM2.5 levels in the Continental US
Yikai Wang, Xuefei Hu, Howard Chang +3
There has been growing interest in extending the coverage of ground PM2.5 monitoring networks based on satellite remote sensing data. With broad spatial and temporal coverage, sate…
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…
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…