Support Vectors Machine: a Tutorial with R. - Joseph R. Barr; Afrooz Jahedi; Mahroo Ehsani (Int. J. Semantic Comput., 2013)

Underconnected, But Not Broken? Dynamic Functional Connectivity MRI Shows Underconnectivity in Autism Is Linked to Increased Intra-Individual Variability Across Time. - Maryam Falahpour; Wesley K. Thompson; Angela E. Abbott; Afrooz Jahedi; Mark E. Mulvey; Michael Datko; Thomas T. Liu; Ralph-Axel Müller (Brain Connect., 2016)

Distributed Intrinsic Functional Connectivity Patterns Predict Diagnostic Status in Large Autism Cohort. - Afrooz Jahedi; Chanond A. Nasamran; Brian Faires; Juanjuan Fan; Ralph-Axel Müller (Brain Connect., 2017)

Functional Connectivities Are More Informative Than Anatomical Variables in Diagnostic Classification of Autism. - Aina Eill; Afrooz Jahedi; Yangfeifei Gao; Jiwandeep S. Kohli; Christopher H. Fong; Seraphina Solders; Ruth A. Carper; Faramarz Valafar; Barbara A. Bailey; Ralph-Axel Müller (Brain Connect., 2019)

Performance of machine learning classification models of autism using resting-state fMRI is contingent on sample heterogeneity. - Maya A. Reiter; Afrooz Jahedi; Agastinose Ronickom Jac Fredo; Inna Fishman; Barbara A. Bailey; Ralph-Axel Müller (Neural Comput. Appl., 2021)