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

2 citations · 2 across the 3 of their papers we have counts for

collaborators
Showing cs.CVShow all

1 paper · 1 filter

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…