13 citations · 14 across the 5 of their papers we have counts for
5 papers
CommsVAE: Learning the brain's macroscale communication dynamics using coupled sequential VAEs
Eloy Geenjaar, Noah Lewis, Amrit Kashyap +2
Communication within or between complex systems is commonplace in the natural sciences and fields such as graph neural networks. The brain is a perfect example of such a complex sy…
Geometrically Guided Integrated Gradients
Md Mahfuzur Rahman, Noah Lewis, Sergey Plis
Interpretability methods for deep neural networks mainly focus on the sensitivity of the class score with respect to the original or perturbed input, usually measured using actual…
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…
Fusing multimodal neuroimaging data with a variational autoencoder
Eloy Geenjaar, Noah Lewis, Zening Fu +3
Neuroimaging studies often involve the collection of multiple data modalities. These modalities contain both shared and mutually exclusive information about the brain. This work ai…
Whole MILC: generalizing learned dynamics across tasks, datasets, and populations
Usman Mahmood, Md Mahfuzur Rahman, Alex Fedorov +4
Behavioral changes are the earliest signs of a mental disorder, but arguably, the dynamics of brain function gets affected even earlier. Subsequently, spatio-temporal structure of…