Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data

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Title
Predicting symptom severity in autism spectrum disorder based on cortical thickness measures in agglomerative data
Authors
Keywords
Autism spectrum disorder, Magnetic resonance imaging, Cortical thickness, Machine learning, Domain adaptation
Journal
NEUROIMAGE
Volume 144, Issue -, Pages 128-141
Publisher
Elsevier BV
Online
2016-09-22
DOI
10.1016/j.neuroimage.2016.09.049

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