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20202022
most citedSelf-supervised multimodal neuroimaging yields predictive representations for a spectrum of Alzheimer's phenotypes

2 citations · 2 across the 4 of their papers we have counts for

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cs.CV2022

Spatio-temporally separable non-linear latent factor learning: an application to somatomotor cortex fMRI data

Eloy Geenjaar, Amrit Kashyap, Noah Lewis +2

Functional magnetic resonance imaging (fMRI) data contain complex spatiotemporal dynamics, thus researchers have developed approaches that reduce the dimensionality of the signal w…

cs.CV2021

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

Eloy Geenjaar, Tonya White, Vince Calhoun

We propose to apply non-linear representation learning to voxelwise rs-fMRI data. Learning the non-linear representations is done using a variational autoencoder (VAE). The VAE is…