Timothy J. Hohman

According to our database, Timothy J. Hohman authored at least 14 papers between 2015 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Unsupervised learning of acquisition variability in structural connectomes via hybrid latent space modeling.

Gaurav Rudravaram, Lianrui Zuo, Karthik Ramadass, Elyssa M. McMaster, Jongyeon Yoon, Aravind R. Krishnan, Adam M. Saunders, Chenyu Gao, Nancy R. Newlin, Praitayini Kanakaraj, Lori L. Beason-Held, Murat Bilgel, Laura A. Barquero, Micah D'Archangel, Tin Q. Nguyen, Laurie B. Cutting, Derek B. Archer, Timothy J. Hohman, Daniel Moyer, Bennett A. Landman

CoRR, May, 2026

2025

MetaVoxel: Joint Diffusion Modeling of Imaging and Clinical Metadata.

Yihao Liu, Chenyu Gao, Lianrui Zuo, Michael E. Kim, Brian D. Boyd, Lisa L. Barnes, Walter Kukull, Lori L. Beason-Held, Susan M. Resnick, Timothy J. Hohman, Warren D. Taylor, Bennett A. Landman

CoRR, December, 2025

Characterizing Continuous and Discrete Hybrid Latent Spaces for Structural Connectomes.

Gaurav Rudravaram, Lianrui Zuo, Adam M. Saunders, Michael E. Kim, Praitayini Kanakaraj, Nancy R. Newlin, Aravind R. Krishnan, Elyssa M. McMaster, Chloe Cho, Susan M. Resnick, Lori L. Beason-Held, Derek B. Archer, Timothy J. Hohman, Daniel Moyer, Bennett A. Landman

CoRR, December, 2025

Rethinking the residual approach: leveraging statistical learning to operationalize cognitive resilience in Alzheimer's disease.

Colin Birkenbihl, Madison Cuppels, Rory T. Boyle, Hannah M. Klinger, Oliver Langford, Gillian T. Coughlan, Michael J. Properzi, Jasmeer P. Chhatwal, Julie C. Price, Aaron P. Schultz, Dorene M. Rentz, Rebecca E. Amariglio, Keith A. Johnson, Rebecca F. Gottesman, Shubhabrata Mukherjee, Paul Maruff, Yen Ying Lim, Colin L. Masters, Alexa Beiser, Susan M. Resnick, Timothy M. Hughes, Samantha Burnham, Ilke Tunali, Susan M. Landau, Ann D. Cohen, Sterling C. Johnson, Tobey J. Betthauser, Sudha Seshadri, Samuel N. Lockhart, Sid E. O'Bryant, Prashanthi Vemuri, Reisa A. Sperling, Timothy J. Hohman, Michael C. Donohue, Rachel F. Buckley

Brain Informatics, December, 2025

Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential.

Chenyu Gao, Kaiwen Xu, Michael E. Kim, Lianrui Zuo, Zhiyuan Li, Derek B. Archer, Timothy J. Hohman, Ann Zenobia Moore, Luigi Ferrucci, Lori L. Beason-Held, Susan M. Resnick, Christos Davatzikos, Jerry L. Prince, Bennett A. Landman

Comput. Biol. Medicine, 2025

Evaluation of Deep Learning Algorithms to Predict Multiple Dementia-Related Neuropathologies from Brain MRI, Clinical and Genetic Data.

Tamoghna Chattopadhyay, Rudransh Kush, Pavithra Senthilkumar, Christopher Patterson, Conor Owens-Walton, Emma J. Gleave, Sophia I. Thomopoulos, Sterling C. Johnson, Elizabeth C. Mormino, Timothy J. Hohman, Paul M. Thompson

Proceedings of the 21st International Symposium on Biomedical Image Processing and Analysis, 2025

2024

DeepN4: Learning N4ITK Bias Field Correction for T1-weighted Images.

Praitayini Kanakaraj, Tianyuan Yao, Leon Y. Cai, Ho Hin Lee, Nancy R. Newlin, Michael E. Kim, Chenyu Gao, Kimberly R. Pechman, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Lori L. Beason-Held, Susan M. Resnick, Eleftherios Garyfallidis, Adam W. Anderson, Kurt G. Schilling, Bennett A. Landman, Daniel Moyer

Neuroinformatics, April, 2024

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, Warren D. Taylor, Brian D. Boyd, Lori L. Beason-Held, Susan M. Resnick, Lisa L. Barnes, David A. Bennett, Katherine D. Van Schaik, Derek B. Archer, Timothy J. Hohman, Angela L. Jefferson, Ivana Isgum, Daniel Moyer, Yuankai Huo, Kurt G. Schilling, Lianrui Zuo, Shunxing Bao, Nazirah Mohd Khairi, Zhiyuan Li, Christos Davatzikos, Bennett A. Landman

CoRR, 2024

Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets.

Michael E. Kim, Chenyu Gao, Karthik Ramadass, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, David A. Bennett, Sid OBryant, Robert C. Barber, Derek B. Archer, Timothy J. Hohman, Shunxing Bao, Zhiyuan Li, Bennett A. Landman, Nazirah Mohd Khairi, Alzheimer's Disease Neuroimaging Initiative, HABSHD Study Team

CoRR, 2024

Multi-Modality Conditioned Variational U-Net for Field-of-View Extension in Brain Diffusion MRI.

Zhiyuan Li, Tianyuan Yao, Praitayini Kanakaraj, Chenyu Gao, Shunxing Bao, Lianrui Zuo, Michael E. Kim, Nancy R. Newlin, Gaurav Rudravaram, Nazirah Mohd Khairi, Yuankai Huo, Kurt G. Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman

CoRR, 2024

Scalable, reproducible, and cost-effective processing of large-scale medical imaging datasets.

Michael E. Kim, Karthik Ramadass, Chenyu Gao, Praitayini Kanakaraj, Nancy R. Newlin, Gaurav Rudravaram, Kurt G. Schilling, Blake E. Dewey, Derek B. Archer, Timothy J. Hohman, Zhiyuan Li, Shunxing Bao, Bennett A. Landman, Nazirah Mohd Khairi

CoRR, 2024

Field-of-View Extension for Diffusion MRI via Deep Generative Models.

Chenyu Gao, Shunxing Bao, Michael E. Kim, Nancy Newlin, Praitayini Kanakaraj, Tianyuan Yao, Gaurav Rudravaram, Yuankai Huo, Daniel Moyer, Kurt Schilling, Walter Kukull, Arthur W. Toga, Derek B. Archer, Timothy J. Hohman, Bennett A. Landman, Zhiyuan Li

CoRR, 2024

2023

Comparing voxel- and feature-wise harmonization of complex graph measures from multiple sites for structural brain network investigation of aging.

Nancy R. Newlin, Leon Y. Cai, Tianyuan Yao, Derek B. Archer, Kurt G. Schilling, Timothy J. Hohman, Kimberly R. Pechman, Angela L. Jefferson, Andrea T. Shafer, Susan M. Resnick, Bennett A. Landman

Proceedings of the Medical Imaging 2023: Image Processing, 2023

2015

Resting-State Functional Connectivity in Individuals with Down Syndrome and Williams Syndrome Compared with Typically Developing Controls.

Jennifer N. Vega, Timothy J. Hohman, Jennifer R. Pryweller, Elisabeth M. Dykens, Tricia A. Thornton-Wells

Brain Connect., 2015