Eloy Geenjaar - RankMe

16 papers A* 1Journal 11Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning. AAAI Eloy Geenjaar, Lie Lu
2025	J	`jnl`	Mapping minds not averages: a scalable subject-specific manifold learning framework for neuroimaging data. CoRR Eloy Geenjaar, Vince D. Calhoun
2024	J	`jnl`	CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning. CoRR Eloy Geenjaar, Lie Lu
2024	J	`jnl`	Efficient federated learning for distributed neuroimaging data. Frontiers Neuroinformatics Bishal Thapaliya, Riyasat Ohib, Eloy Geenjaar, Jingyu Liu, Vince D. Calhoun, Sergey M. Plis
2024	J	`jnl`	Self-supervised multimodal learning for group inferences from MRI data: Discovering disorder-relevant brain regions and multimodal links. NeuroImage 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
2023	J	`jnl`	Learning low-dimensional dynamics from whole-brain data improves task capture. CoRR Eloy Geenjaar, Donghyun Kim, Riyasat Ohib, Marlena Duda, Amrit Kashyap, Sergey M. Plis, Vince D. Calhoun
2022	J	`jnl`	CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs. CoRR Eloy Geenjaar, Noah Lewis, Amrit Kashyap, Robyn L. Miller, Vince D. Calhoun
2022	—	`conf`	Mind the gap: functional network connectivity interpolation between schizophrenia patients and controls using a variational autoencoder. EMBC Xinhui Li, Eloy Geenjaar, Zening Fu, Sergey M. Plis, Vince D. Calhoun
2022	J	`jnl`	Self-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes. CoRR 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
2022	J	`jnl`	Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data. CoRR Eloy Geenjaar, Amrit Kashyap, Noah Lewis, Robyn L. Miller, Vince D. Calhoun
2021	—	`conf`	Fusing multimodal neuroimaging data with a variational autoencoder. EMBC Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
2021	J	`jnl`	Fusing multimodal neuroimaging data with a variational autoencoder. CoRR Eloy Geenjaar, Noah Lewis, Zening Fu, Rohan Venkatdas, Sergey M. Plis, Vince D. Calhoun
2021	—	`conf`	Self-Supervised Multimodal Domino: in Search of Biomarkers for Alzheimer's Disease. ICHI Alex Fedorov, Tristan Sylvain, Eloy Geenjaar, Margaux Luck, Lei Wu, Thomas P. DeRamus, Alex Kirilin, Dmitry Bleklov, Vince D. Calhoun, Sergey M. Plis
2021	J	`jnl`	Tasting the cake: evaluating self-supervised generalization on out-of-distribution multimodal MRI data. CoRR Alex Fedorov, Eloy Geenjaar, Lei Wu, Thomas P. DeRamus, Vince D. Calhoun, Sergey M. Plis
2021	—	`conf`	Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures. BIBM Eloy Geenjaar, Tonya White, Vince D. Calhoun
2021	J	`jnl`	Variational voxelwise rs-fMRI representation learning: Evaluation of sex, age, and neuropsychiatric signatures. CoRR Eloy Geenjaar, Tonya White, Vince D. Calhoun