Brian D. Boyd

According to our database, Brian D. Boyd authored at least 6 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2023

Predicting Age from White Matter Diffusivity with Residual Learning.

Chenyu Gao, Michael E. Kim, Ho Hin Lee, Qi Yang, Nazirah Mohd Khairi, Praitayini Kanakaraj, Nancy R. Newlin, Derek B. Archer, Angela L. Jefferson, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, The BIOCARD Study Team, Yuankai Huo, Katherine D. Van Schaik, Kurt G. Schilling, Daniel Moyer, Ivana Isgum, Bennett A. Landman

CoRR, 2023

2022

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, Bennett A. Landman

J. Digit. Imaging, 2022

2021

Pandora: 4-D White Matter Bundle Population-Based Atlases Derived from Diffusion MRI Fiber Tractography.

Colin B. Hansen, Qi Yang, 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, Warren D. Taylor, Brian D. Boyd, Eleftherios Garyfallidis, Adam W. Anderson, Maxime Descoteaux, Bennett A. Landman, Kurt G. Schilling

Neuroinformatics, 2021

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

2018

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, Allen T. Newton, Baxter P. Rogers, Bennett A. Landman

J. Digit. Imaging, 2018

2016

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