Detection of Autism Spectrum Disorder Using Graph Representation Learning Algorithms and Deep Neural Network, Based on fMRI Signals
Ali Yousedian, Farzaneh Shayegh, Zeinab Maleki
This paper uses graph representation learning on fMRI data to classify autism spectrum disorder, achieving 80% accuracy in leave-one-site-out cross-validation.
bioRxiv · Jun 23, 2022 · PreprintNeuroscience