Structural connectivity via the tensor-based morphometry. - Seung-Goo Kim; Moo K. Chung; Jamie L. Hanson; Brian B. Avants; James C. Gee; Richard J. Davidson; Seth D. Pollak (ISBI, 2011)

Agreement between the white matter connectivity based on the tensor-based morphometry and the volumetric white matter parcellations based on diffusion tensor imaging. - Seung-Goo Kim; Brian B. Avants; Hyekyoung Lee; James C. Gee; Moo K. Chung; Richard J. Davidson; Jamie L. Hanson; Seth D. Pollak (ISBI, 2012)

Persistent Homological Sparse Network Approach to Detecting White Matter Abnormality in Maltreated Children: MRI and DTI Multimodal Study. - Moo K. Chung; Jamie L. Hanson; Hyekyoung Lee; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; Seth D. Pollak (MICCAI (1), 2013)

Persistent Homology in Sparse Regression and Its Application to Brain Morphometry. - Moo K. Chung; Jamie L. Hanson; Jieping Ye; Richard J. Davidson; Seth D. Pollak (IEEE Trans. Medical Imaging, 2015)

Integrative Structural Brain Network Analysis in Diffusion Tensor Imaging. - Moo K. Chung; Jamie L. Hanson; Nagesh Adluru; Andrew L. Alexander; Richard J. Davidson; Seth D. Pollak (Brain Connect., 2017)

Variations in structural MRI quality significantly impact commonly used measures of brain anatomy. - Alysha D. Gilmore; Nicholas J. Buser; Jamie L. Hanson (Brain Informatics, 2021)

Quantifying numerical and spatial reliability of hippocampal and amygdala subdivisions in FreeSurfer. - Isabella Kahhale; Nicholas J. Buser; Christopher R. Madan; Jamie L. Hanson (Brain Informatics, 2023)

Examining the reliability of brain age algorithms under varying degrees of participant motion. - Jamie L. Hanson; Dorthea J. Adkins; Eva Bacas; Peiran Zhou (Brain Informatics, 2024)