Corey McMillan

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 12

Top Topics

Quantitative Analysis

Neurodegenerative Diseases

Top Venues

Publications

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
Surface-based parcellation and vertex-wise analysis of ultra high-resolution ex vivo 7 tesla MRI in neurodegenerative diseases. CoRR (2024)
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
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. CoRR (2023)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Explainable Brain Age Prediction using coVariance Neural Networks. NeurIPS (2023)
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
Curriculum Based Multi-Task Learning for Parkinson's Disease Detection. ISBI (2023)
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
Automated deep learning segmentation of high-resolution 7 T ex vivo MRI for quantitative analysis of structure-pathology correlations in neurodegenerative diseases. CoRR (2023)
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
Video and Synthetic MRI Pre-training of 3D Vision Architectures for Neuroimage Analysis. CoRR (2023)
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
Comparison of Anatomical and Diffusion MRI for detecting Parkinson's Disease using Deep Convolutional Neural Network. EMBC (2023)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Predicting Brain Age Using Transferable Covariance Neural Networks. ICASSP (2023)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
Predicting Brain Age using Transferable coVariance Neural Networks. CoRR (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
coVariance Neural Networks. NeurIPS (2022)
Saurabh Sihag, Gonzalo Mateos, Corey McMillan, Alejandro Ribeiro
coVariance Neural Networks. CoRR (2022)
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
Gray Matter Segmentation in Ultra High Resolution 7 Tesla ex vivo T2w MRI of Human Brain Hemispheres. CoRR (2021)
Brian B. Avants, David J. Libon, Katya Rascovsky, Ashley Boller, Corey McMillan, Lauren Massimo, H. Branch Coslett, Anjan Chatterjee, Rachel G. Gross, Murray Grossman
Sparse canonical correlation analysis relates network-level atrophy to multivariate cognitive measures in a neurodegenerative population. NeuroImage 84 (2014)
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
Category-specific semantic memory: Converging evidence from bold fMRI and Alzheimer's disease. NeuroImage 68 (2013)
Brian B. Avants, Paramveer S. Dhillon, Benjamin M. Kandel, Philip A. Cook, Corey McMillan, Murray Grossman, James C. Gee
Eigenanatomy Improves Detection Power for Longitudinal Cortical Change. MICCAI (3) (2012)
Corey McMillan, Neville Ryant, Danielle Coleman, Robin Clark, Murray Grossman
Strategic Resources Support the Interpretation of Doubly-Quantified Sentences. CogSci (2011)
Jeffrey T. Duda, Corey McMillan, Murray Grossman, James C. Gee
Relating Structural and Functional Connectivity to Performance in a Communication Task. MICCAI (2) (2010)
Brian B. Avants, Philip A. Cook, Corey McMillan, Murray Grossman, Nicholas J. Tustison, Yuanjie Zheng, James C. Gee
Sparse Unbiased Analysis of Anatomical Variance in Longitudinal Imaging. MICCAI (1) (2010)
Murray Grossman, Phyllis Koenig, John Kounios, Corey McMillan, Melissa Work, Peachie Moore
Category-specific effects in semantic memory: Category-task interactions suggested by fMRI. NeuroImage 30 (3) (2006)
Phyllis Koenig, Edward E. Smith, Guila Glosser, Christian Devita, Peachie Moore, Corey McMillan, James F. Geelen, Murray Grossman
The neural basis for novel semantic categorization. NeuroImage 24 (2) (2005)
Murray Grossman, Edward E. Smith, Phyllis Koenig, Guila Glosser, Christian Devita, Peachie Moore, Corey McMillan
The Neural Basis for Categorization in Semantic Memory. NeuroImage 17 (3) (2002)