Unsupervised autoencoder and next-frame prediction models trained on healthy rs-fMRI can distinguish autism patients from healthy controls with AUC around 0.70.
A failure of left temporal cortex to specialize for language is an early emerging and fundamental property of autism
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2019 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Detecting abnormalities in resting-state dynamics: An unsupervised learning approach
Unsupervised autoencoder and next-frame prediction models trained on healthy rs-fMRI can distinguish autism patients from healthy controls with AUC around 0.70.