Unsupervised autoencoder and next-frame prediction models trained on healthy rs-fMRI can distinguish autism patients from healthy controls with AUC around 0.70.
Chronnectome fingerprinting: identifying individuals and predicting higher cognitive functions using dynamic brain connectivity patterns.Human brain mapping, 39(2):902–915, 2018
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.