Conor Owens-Walton

According to our database, Conor Owens-Walton authored at least 6 papers between 2022 and 2025.

Collaborative distances:

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

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

2023

Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis.

Nikhil J. Dhinagar, Amit Singh, Saket Ozarkar, Ketaki Buwa, Sophia I. Thomopoulos, Conor Owens-Walton, Emily Laltoo, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Paul M. Thompson

CoRR, 2023

Curriculum Based Multi-Task Learning for Parkinson's Disease Detection.

Nikhil J. Dhinagar, Conor Owens-Walton, Emily Laltoo, Christina P. Boyle, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Ysbrand D. van der Werf, Paul M. Thompson

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Comparison of Anatomical and Diffusion MRI for detecting Parkinson's Disease using Deep Convolutional Neural Network.

Tamoghna Chattopadhyay, Amit Singh, Emily Laltoo, Christina P. Boyle, Conor Owens-Walton, Yao-Liang Chen, Philip A. Cook, Corey McMillan, Chih-Chien Tsai, Jiun-Jie Wang, Yih-Ru Wu, Ysbrand D. van der Werf, Paul M. Thompson

Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022

Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging.

Yuji Zhao, Max A. Laansma, Eva M. van Heese, Conor Owens-Walton, Laura M. Parkes, Ines Debove, Christian Rummel, Roland Wiest, Fernando Cendes, Rachel Guimaraes, Clarissa Lin Yasuda, Jiun-Jie Wang, Tim J. Anderson, John C. Dalrymple-Alford, Tracy R. Melzer, Toni L. Pitcher, Reinhold Schmidt, Petra Schwingenschuh, Gaëtan Garraux, Mario Rango, Letizia Squarcina, Sarah Al-Bachari, Hedley C. A. Emsley, Johannes C. Klein, Clare E. Mackay, Michiel F. Dirkx, Rick C. Helmich, Francesca Assogna, Fabrizio Piras, Joanna K. Bright, Gianfranco Spalletta, Kathleen Poston, Christine Lochner, Corey T. McMillan, Daniel Weintraub, Jason Druzgal, Benjamin Newman, Odile A. van den Heuvel, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris Gutman

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

FiberNeat: Unsupervised White Matter Tract Filtering.

Bramsh Qamar Chandio, Tamoghna Chattopadhyay, Conor Owens-Walton, Julio E. Villalon-Reina, Leila Nabulsi, Sophia I. Thomopoulos, Eleftherios Garyfallidis, Paul M. Thompson

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022