3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.NE2022
Deep neuroevolution to predict primary brain tumor grade from functional MRI adjacency matrices
Joseph Stember, Mehrnaz Jenabi, Luca Pasquini +3
Whereas MRI produces anatomic information about the brain, functional MRI (fMRI) tells us about neural activity within the brain, including how various regions communicate with eac…
q-bio.NC2022★ 3 cited
Deep reinforcement learning for fMRI prediction of Autism Spectrum Disorder
Joseph Stember, Danielle Stember, Luca Pasquini +3
Purpose : Because functional MRI (fMRI) data sets are in general small, we sought a data efficient approach to resting state fMRI classification of autism spectrum disorder (ASD) v…