Eloy Geenjaar

According to our database, Eloy Geenjaar authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, Girish Mittapalle, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun

NeuroImage, January, 2024

2023

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

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

Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes.

Alex Fedorov, Eloy Geenjaar, Lei Wu, Tristan Sylvain, Thomas P. DeRamus, Margaux Luck, Maria B. Misiura, R. Devon Hjelm, Sergey M. Plis, Vince D. Calhoun

CoRR, 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

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

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data.

Alex Fedorov, Eloy Geenjaar, Lei Wu, Thomas P. DeRamus, Vince D. Calhoun, Sergey M. Plis

CoRR, 2021

Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease.

Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis

Proceedings of the 9th IEEE International Conference on Healthcare Informatics, 2021

Fusing multimodal neuroimaging data with a variational autoencoder.

Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures.

Eloy Geenjaar, Tonya White, Vince D. Calhoun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021