Michael C. Donohue

According to our database, Michael C. Donohue authored at least 4 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

2022

Power and Sample Size for Longitudinal Models in R - The longpower Package and Shiny App.

Samuel Iddi, Michael C. Donohue

R J., 2022

2019

Nonlinear Distributional Mapping (NoDiM) for harmonization across amyloid-PET radiotracers.

Michael J. Properzi, Rachel F. Buckley, Jasmeer P. Chhatwal, Michael C. Donohue, Cristina Lois, Elizabeth C. Mormino, Keith A. Johnson, Reisa A. Sperling, Aaron P. Schultz

NeuroImage, 2019

Predicting the course of Alzheimer's progression.

Samuel Iddi, Dan Li, Paul S. Aisen, Michael S. Rafii, Wesley K. Thompson, Michael C. Donohue

Brain Informatics, 2019