Corey McMillan

According to our database, Corey McMillan authored at least 22 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases.

Pulkit Khandelwal, Michael Tran Duong, Constanza Fuentes, Amanda Denning, Winifred Trotman, Ranjit Ittyerah, Alejandra Bahena, Theresa Schuck, Marianna Gabrielyan, Karthik Prabhakaran, Daniel T. Ohm, Gabor Mizsei, John L. Robinson, Mónica Muñoz López, John A. Detre, Edward B. Lee, David J. Irwin, Corey McMillan, M. Dylan Tisdall, Sandhitsu R. Das, David A. Wolk, Paul A. Yushkevich

CoRR, 2024

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

Transferability of coVariance Neural Networks and Application to Interpretable Brain Age Prediction using Anatomical Features.

Saurabh Sihag, Gonzalo Mateos, Corey T. McMillan, Alejandro Ribeiro

CoRR, 2023

Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases.

Pulkit Khandelwal, Michael Tran Duong, Shokufeh Sadaghiani, Sydney Lim, Amanda Denning, Eunice Chung, Sadhana Ravikumar, Sanaz Arezoumandan, Claire Peterson, Madigan Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, Winifred Trotman, John L. Robinson, Daniel T. Ohm, Edward B. Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David J. Irwin, John A. Detre, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich

CoRR, 2023

Explainable Brain Age Prediction using coVariance Neural Networks.

Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Predicting Brain Age Using Transferable Covariance Neural Networks.

Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 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

coVariance Neural Networks.

Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

2021

Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres.

Pulkit Khandelwal, Shokufeh Sadaghiani, Sadhana Ravikumar, Sydney Lim, Sanaz Arezoumandan, Claire Peterson, Eunice Chung, Madigan Bedard, Noah Capp, Ranjit Ittyerah, Elyse Migdal, Grace Choi, Emily Kopp, Bridget Loja, Eusha Hasan, Jiacheng Li, Karthik Prabhakaran, Gabor Mizsei, Marianna Gabrielyan, Theresa Schuck, John L. Robinson, Daniel T. Ohm, Edward B. Lee, John Q. Trojanowski, Corey McMillan, Murray Grossman, David J. Irwin, M. Dylan Tisdall, Sandhitsu R. Das, Laura E. M. Wisse, David A. Wolk, Paul A. Yushkevich

CoRR, 2021

2016

How the brain learns how few are "many": An fMRI study of the flexibility of quantifier semantics.

Stefan Heim, Corey T. McMillan, Robin Clark, Laura Baehr, Kylie Ternes, Christopher Olm, Nam Eun Min, Murray Grossman

NeuroImage, 2016

2014

Relating brain anatomy and cognitive ability using a multivariate multimodal framework.

Philip A. Cook, Corey T. McMillan, Brian B. Avants, Jonathan E. Peelle, James C. Gee, Murray Grossman

NeuroImage, 2014

Sparse canonical correlation analysis relates network-level atrophy to multivariate cognitive measures in a neurodegenerative population.

Brian B. Avants, David J. Libon, Katya Rascovsky, Ashley Boller, Corey McMillan, Lauren Massimo, H. Branch Coslett, Anjan Chatterjee, Rachel G. Gross, Murray Grossman

NeuroImage, 2014

2013

Category-specific semantic memory: Converging evidence from bold fMRI and Alzheimer's disease.

Murray Grossman, Jonathan E. Peelle, Edward E. Smith, Corey McMillan, Philip A. Cook, John Powers, Michael Dreyfuss, Michael F. Bonner, Lauren L. Richmond, Ashley Boller, Emily Camp, Lisa Burkholder

NeuroImage, 2013

2012

Eigenanatomy Improves Detection Power for Longitudinal Cortical Change.

Brian B. Avants, Paramveer S. Dhillon, Benjamin M. Kandel, Philip A. Cook, Corey McMillan, Murray Grossman, James C. Gee

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012, 2012

2011

Strategic Resources Support the Interpretation of Doubly-Quantified Sentences.

Corey McMillan, Neville Ryant, Danielle Coleman, Robin Clark, Murray Grossman

Proceedings of the 33th Annual Meeting of the Cognitive Science Society, 2011

2010

Relating Structural and Functional Connectivity to Performance in a Communication Task.

Jeffrey T. Duda, Corey McMillan, Murray Grossman, James C. Gee

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging.

Brian B. Avants, Philip A. Cook, Corey McMillan, Murray Grossman, Nicholas J. Tustison, Yuanjie Zheng, James C. Gee

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2006

Category-specific effects in semantic memory: Category-task interactions suggested by fMRI.

Murray Grossman, Phyllis Koenig, John Kounios, Corey McMillan, Melissa Work, Peachie Moore

NeuroImage, 2006

2005

The neural basis for novel semantic categorization.

Phyllis Koenig, Edward E. Smith, Guila Glosser, Christian Devita, Peachie Moore, Corey McMillan, James F. Geelen, Murray Grossman

NeuroImage, 2005

2002

The Neural Basis for Categorization in Semantic Memory.

Murray Grossman, Edward E. Smith, Phyllis Koenig, Guila Glosser, Christian Devita, Peachie Moore, Corey McMillan

NeuroImage, 2002