Sudha Seshadri

According to our database, Sudha Seshadri authored at least 7 papers between 2021 and 2025.

Collaborative distances:

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

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

Feasibility and acceptability of an in-home digital device health and activity assessment platform in a diverse South Texas cohort: a pilot study.

Julia J. Mathews, Rachel Mulavelil, Nathaniel Rodrigues, Tiffany F. Kautz, Kevin Cosgrove, Chen-Pin Wang, Daniel Maccarthy, Roman A. Fernandez, Sarah Gothard, Nicole Sharma, Luis Serranorubio, Vanessa M. Young, Lyndsey Miller, Sudha Seshadri, Jeffrey Kaye, Zachary T. Beattie, Mitzi M. Gonzales

Frontiers Digit. Health, 2025

2024

Riemannian frameworks for the harmonization of resting-state functional MRI scans.

Nicolas Honnorat, Sudha Seshadri, Ron Killiany, John Blangero, David C. Glahn, Peter T. Fox, Mohamad Habes

Medical Image Anal., January, 2024

2023

Deep neural network heatmaps capture Alzheimer's disease patterns reported in a large meta-analysis of neuroimaging studies.

Di Wang, Nicolas Honnorat, Peter T. Fox, Kerstin Ritter, Simon B. Eickhoff, Sudha Seshadri, Mohamad Habes

NeuroImage, April, 2023

Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans.

Anoop Benet Nirmala, Tanweer Rashid, Elyas Fadaee, Nicolas Honnorat, Karl Li, Sokratis Charisis, Di Wang, Aishwarya Vemula, Jinqi Li, Peter Fox, Timothy E. Richardson, Jamie M. Walker, Kevin Bieniek, Sudha Seshadri, Mohamad Habes

Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

2022

Deep Learning Based Detection of Enlarged Perivascular Spaces on Brain MRI.

Tanweer Rashid, Hangfan Liu, Jeffrey B. Ware, Karl Li, Jose Rafael Romero, Elyas Fadaee, Ilya M. Nasrallah, Saima Hilal, R. Nick Bryan, Timothy M. Hughes, Christos Davatzikos, Lenore J. Launer, Sudha Seshadri, Susan R. Heckbert, Mohamad Habes

CoRR, 2022

2021

Multi-vendor and multisite evaluation of cerebrovascular reactivity mapping using hypercapnia challenge.

Peiying Liu, Dengrong Jiang, Marilyn Albert, Christopher E. Bauer, Arvind Caprihan, Brian T. Gold, Steven M. Greenberg, Karl G. Helmer, Kay Jann, Gregory Jicha, Pavel Rodriguez, Claudia L. Satizabal, Sudha Seshadri, Herpreet Singh, Jeffrey F. Thompson, Danny J. J. Wang, Hanzhang Lu

NeuroImage, 2021