Rory T. Boyle

According to our database, Rory T. Boyle authored at least 3 papers between 2019 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

2020

A comparison of resting state EEG and structural MRI for classifying Alzheimer's disease and mild cognitive impairment.

Francesca R. Farina, Derya Durusu Emek-Savas, Laura M. Rueda-Delgado, Rory T. Boyle, Hanni Kiiski, Görsev Yener, Robert Whelan

NeuroImage, 2020

2019

Quantifying performance of machine learning methods for neuroimaging data.

Lee Jollans, Rory T. Boyle, Eric Artiges, Tobias Banaschewski, Sylvane Desrivières, Antoine Grigis, Jean-Luc Martinot, Tomás Paus, Michael N. Smolka, Henrik Walter, Gunter Schumann, Hugh Garavan, Robert Whelan

NeuroImage, 2019