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Significant progress has been made using fMRI to characterize the brain changes that occur in ASD, a complex neuro-developmental disorder.
Rousseeuw, P. J., “Silhouettes: a graphical aid to the interpretation and validation of cluster analysis,” Journal of computational and applied mathematics
1987
Earlier work this paper cites.
Maaten, L. v. d. and Hinton, G., “Visualizing data using t-sne,” Journal of machine learning research
2008
Earlier work this paper cites.
Kaiser, M. D. et al., “Neural signatures of autism,” PNAS
2010
Earlier work this paper cites.
Destrieux, C. et al., “Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature,” Neuroimage
2010
Earlier work this paper cites.
2011
Earlier work this paper cites.
Jenkinson, M. et al., “FSL,” NeuroImage
2012
Cited alongside, same era.
Yang, D. et al., “Brain responses to biological motion predict treatment outcome in young children with autism,” Translational psychiatry
2016
Cited alongside, same era.
Hamilton, W. L., Ying, R., and Leskovec, J., “Inductive representation learning on large graphs,” in [ NIPS
2017
Cited alongside, same era.
Belghazi, M. I. et al., “Mine: mutual information neural estimation,” ICML
2018
Cited alongside, same era.
Ying, Z. et al., “Hierarchical graph representation learning with differentiable pooling,” in [ NeurIPS
2018
Later among the works it cites.
2018
Later among the works it cites.
Li, X. et al., “Graph neural network for interpreting task-fmri biomarkers,” MICCAI
2019
Closest in time.
Veličković, P. et al., “Deep graph infomax,” ICLR
2019
Closest in time.
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