Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures. - Eloy Geenjaar; Tonya White; Vince D. Calhoun (BIBM, 2021)

Fusing multimodal neuroimaging data with a variational autoencoder. - Eloy Geenjaar; Noah Lewis; Zening Fu; Rohan Venkatdas; Sergey M. Plis; Vince D. Calhoun (EMBC, 2021)

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease. - Alex Fedorov; Tristan Sylvain; Eloy Geenjaar; Margaux Luck; Lei Wu 013; Thomas P. DeRamus; Alex Kirilin; Dmitry Bleklov; Vince D. Calhoun; Sergey M. Plis (ICHI, 2021)

Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data. - Alex Fedorov; Eloy Geenjaar; Lei Wu 013; Thomas P. DeRamus; Vince D. Calhoun; Sergey M. Plis (CoRR, 2021)

Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder. - Xinhui Li; Eloy Geenjaar; Zening Fu; Sergey M. Plis; Vince D. Calhoun (EMBC, 2022)

Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data. - Eloy Geenjaar; Amrit Kashyap; Noah Lewis; Robyn L. Miller; Vince D. Calhoun (CoRR, 2022)

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes. - Alex Fedorov; Eloy Geenjaar; Lei Wu 013; Tristan Sylvain; Thomas P. DeRamus; Margaux Luck; Maria B. Misiura; R. Devon Hjelm; Sergey M. Plis; Vince D. Calhoun (CoRR, 2022)

CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs. - Eloy Geenjaar; Noah Lewis; Amrit Kashyap; Robyn L. Miller; Vince D. Calhoun (CoRR, 2022)

Learning low-dimensional dynamics from whole-brain data improves task capture. - Eloy Geenjaar; Donghyun Kim; Riyasat Ohib; Marlena Duda; Amrit Kashyap; Sergey M. Plis; Vince D. Calhoun (CoRR, 2023)

Efficient federated learning for distributed neuroimaging data. - Bishal Thapaliya; Riyasat Ohib; Eloy Geenjaar; Jingyu Liu 001; Vince D. Calhoun; Sergey M. Plis (Frontiers Neuroinformatics, 2024)

Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. - Alex Fedorov; Eloy Geenjaar; Lei Wu 013; Tristan Sylvain; Thomas P. DeRamus; Margaux Luck; Maria B. Misiura; Girish Mittapalle; R. Devon Hjelm; Sergey M. Plis; Vince D. Calhoun (NeuroImage, 2024)

CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning. - Eloy Geenjaar; Lie Lu (AAAI, 2025)

Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data. - Eloy Geenjaar; Vince D. Calhoun (CoRR, 2025)