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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Uncovering Active Structural Subspaces Associated with Changes in Indicators for Alzheimer's DiseaseIshaan Batta, Anees Abrol, Vince CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Discovery and Replication of Time-Resolved Functional Network Connectivity Differences in Adolescence and Adulthood in over 50K fMRI DatasetsAnees Abrol, Vince CalhounJournal of Neuroscience Methods|March 17, 2024
Multimodal active subspace analysis for computing assessment oriented subspaces from neuroimaging dataIshaan Batta, Anees Abrol, Vince D Calhoun, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Probing the link between the APOE-ε4 allele and whole-brain gray matter using deep learningAnees Abrol, Ihab Hajjar, Vince CalhounAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Learning Active Multimodal Subspaces in the BrainIshaan Batta, Anees Abrol, Zening Fu, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Deep learning in resting-state fMRIAnees Abrol, Reihaneh Hassanzadeh, Sergey Plis, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|September 10, 2022
Deep Learning Prediction and Visualization of Gender Related Brain Changes from Longitudinal Structural MRI Data in the ABCD StudyYuda Bi, Anees Abrol, Zening Fu, et al.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 3, 2025
A Hybrid CNN-Transformer Network for fMRI-Based Feature Encoding in Alzheimer's Disease ClassificationYanteng Zhang, Songheng Li, Anees Abrol, et al.Journal of Neuroscience Methods|November 18, 2022
Prediction of gender from longitudinal MRI data via deep learning on adolescent data reveals unique patterns associated with brain structure and change over a two-year periodYuda Bi, Anees Abrol, Zening Fu, et al.Journal of Neuroscience Methods|April 11, 2020
Deep residual learning for neuroimaging: An application to predict progression to Alzheimer's diseaseAnees Abrol, Manish Bhattarai, Alex Fedorov, et al.Pageof 28