Mohammad R. Arbabshirani

Affiliations: 
2014 Electrical Engineering University of New Mexico, Albuquerque, NM, United States 
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Vince D Calhoun grad student 2014 Univ. of New Mexico
 (Functional network connectivity in human brain and its application in automatic diagnosis of brain disorders.)
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Publications

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Arbabshirani MR, Preda A, Vaidya JG, et al. (2019) Autoconnectivity: A New Perspective on Human Brain Function. Journal of Neuroscience Methods
Rashid B, Blanken LME, Muetzel RL, et al. (2018) Connectivity dynamics in typical development and its relationship to autistic traits and autism spectrum disorder. Human Brain Mapping
Samad MD, Wehner GJ, Arbabshirani MR, et al. (2018) Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning. European Heart Journal Cardiovascular Imaging
Steele VR, Maurer JM, Arbabshirani MR, et al. (2018) Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion. Biological Psychiatry. Cognitive Neuroscience and Neuroimaging. 3: 141-149
Zhang C, Cahill ND, Arbabshirani MR, et al. (2016) Sex and Age Effects of Functional Connectivity in Early Adulthood. Brain Connectivity
Rashid B, Arbabshirani MR, Damaraju E, et al. (2016) Classification Of Schizophrenia And Bipolar Patients Using Static And Dynamic Resting-State Fmri Brain Connectivity. Neuroimage
Arbabshirani MR, Plis S, Sui J, et al. (2016) Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. Neuroimage
Rashid B, Arbabshirani MR, Damaraju E, et al. (2015) Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity Proceedings - International Symposium On Biomedical Imaging. 2015: 251-254
Arbabshirani MR, Castro E, Calhoun VD. (2014) Accurate classification of schizophrenia patients based on novel resting-state fMRI features. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 6691-4
Castro E, Gupta CN, Martínez-Ramón M, et al. (2014) Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2014: 1513-6
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