A spatially subsampled 1D representation of rsfMRI time courses fed to a simple 1D CNN matches state-of-the-art accuracy for autism spectrum disorder classification with minimal preprocessing.
Local-Global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI, Cerebral Cortex, 2018, 29:3095-3114
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Simple 1-D Convolutional Networks for Resting-State fMRI Based Classification in Autism
A spatially subsampled 1D representation of rsfMRI time courses fed to a simple 1D CNN matches state-of-the-art accuracy for autism spectrum disorder classification with minimal preprocessing.