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NeuroImage, ISSN 1053-8119, 05/2017, Volume 152, pp. 437 - 449
Journal Article
Biological Psychiatry, ISSN 0006-3223, 2015, Volume 79, Issue 12, pp. 1016 - 1025
Journal Article
Schizophrenia bulletin, ISSN 0586-7614, 03/2017, Volume 43, Issue 2, pp. 425 - 435
Journal Article
NeuroImage, ISSN 1053-8119, 02/2017, Volume 147, pp. 736 - 745
Resting-state functional Magnetic Resonance Imaging (R-fMRI) holds the promise to reveal functional biomarkers of neuropsychiatric disorders. However,... 
Autism spectrum disorders | Resting-state fMRI | Biomarkers | Data heterogeneity | Connectome | Data pipelines | NETWORK | FUNCTIONAL CONNECTIVITY | SPECTRUM DISORDERS | NEUROSCIENCES | NEUROIMAGING | PREDICTION | HUMAN CEREBRAL-CORTEX | BRAIN CONNECTIVITY | CONNECTOMES | SUBJECT | SAMPLE-SIZE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | FMRI | Reproducibility of Results | Image Processing, Computer-Assisted - standards | Humans | Datasets as Topic - standards | Magnetic Resonance Imaging - methods | Connectome - standards | Image Processing, Computer-Assisted - methods | Autism Spectrum Disorder - diagnostic imaging | Cerebral Cortex - diagnostic imaging | Cerebral Cortex - physiopathology | Multicenter Studies as Topic - methods | Magnetic Resonance Imaging - standards | Adolescent | Connectome - methods | Adult | Multicenter Studies as Topic - standards | Child | Biological markers | Autism | Nervous system diseases | Data exchange | Attention deficit disorder | Neuroimaging | Brain | Mental disorders | Pipelines | Disorders | Schizophrenia | Complexity | Datasets | Heterogeneity | Classification | Functional magnetic resonance imaging | Atlases | Medical imaging | Feasibility studies | Brain mapping | Data processing | Studies | Brain research | Magnetic resonance imaging | Neural networks | Data sets | Diagnostic software | Predictions | Connectivity | Diagnostic systems | Neuroscience | Medical Imaging | Cognitive science | Statistics | Machine Learning | Computer Science
Journal Article
Journal Article
NeuroImage, ISSN 1053-8119, 07/2016, Volume 134, pp. 645 - 657
Journal Article