Vanderbilt University Institute of Imaging Science Center for Computational Imaging XNAT: A multimodal data archive and processing environment. - Robert L. Harrigan; Benjamin C. Yvernault; Brian D. Boyd; Stephen M. Damon; Kyla David Gibney; Benjamin N. Conrad; Nicholas S. Phillips; Baxter P. Rogers; Yurui Gao; Bennett A. Landman (NeuroImage, 2016)

Towards Portable Large-Scale Image Processing with High-Performance Computing. - Yuankai Huo; Justin A. Blaber; Stephen M. Damon; Brian D. Boyd; Shunxing Bao; Prasanna Parvathaneni; Camilo Bermudez; Shikha Chaganti; Vishwesh Nath; Jasmine M. Greer; Ilwoo Lyu; William R. French; et al. (J. Digit. Imaging, 2018)

Graph Autoencoders for Embedding Learning in Brain Networks and Major Depressive Disorder Identification. - Fuad Noman; Chee-Ming Ting; Hakmook Kang; Raphael C.-W. Phan; Brian D. Boyd; Warren D. Taylor; Hernando C. Ombao (CoRR, 2021)

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography. - Colin B. Hansen; Qi Yang 004; Ilwoo Lyu; Francois Rheault; Cailey I. Kerley; Bramsh Qamar Chandio; Shreyas Fadnavis; Owen A. Williams; Andrea T. Shafer; Susan M. Resnick; David H. Zald; Laurie E. Cutting; et al. (Neuroinformatics, 2021)

Integrating the BIDS Neuroimaging Data Format and Workflow Optimization for Large-Scale Medical Image Analysis. - Shunxing Bao; Brian D. Boyd; Praitayini Kanakaraj; Karthik Ramadass; Francisco A. C. Meyer; Yuqian Liu; William E. Duett; Yuankai Huo; Ilwoo Lyu; David H. Zald; Seth A. Smith; Baxter P. Rogers; et al. (J. Digit. Imaging, 2022)

Predicting Age from White Matter Diffusivity with Residual Learning. - Chenyu Gao; Michael E. Kim; Ho Hin Lee; Qi Yang 004; Nazirah Mohd Khairi; Praitayini Kanakaraj; Nancy R. Newlin; Derek B. Archer; Angela L. Jefferson; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2023)

Brain age identification from diffusion MRI synergistically predicts neurodegenerative disease. - Chenyu Gao; Michael E. Kim; Karthik Ramadass; Praitayini Kanakaraj; Aravind R. Krishnan; Adam M. Saunders; Nancy R. Newlin; Ho Hin Lee; Qi Yang 004; Warren D. Taylor; Brian D. Boyd; Lori L. Beason-Held; et al. (CoRR, 2024)