M. Arbabshirani

发表

Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity

Vince D. Calhoun, Eswar Damaraju, Godfrey D. Pearlson, 2016, NeuroImage.

Functional network connectivity during rest and task conditions: A comparative study

V. Calhoun, K. Kiehl, G. Pearlson, 2013, Human brain mapping.

Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration

Brandon K. Fornwalt, Jonathan D. Suever, M. Arbabshirani, 2018, npj Digital Medicine.

NEUROINFORMATICS Sharing privacy-sensitive access to neuroimaging and genetics data : a review and preliminary validation

Anand D. Sarwate, Jessica A. Turner, Vince D. Calhoun, 2018 .

Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging.

V. Calhoun, G. Pearlson, E. Allen, 2012, Current topics in medicinal chemistry.

Machine Learning of Functional Magnetic Resonance Imaging Network Connectivity Predicts Substance Abuse Treatment Completion.

V. Calhoun, K. Kiehl, E. Claus, 2017, Biological psychiatry. Cognitive neuroscience and neuroimaging.

Brain Potentials Measured During a Go/NoGo Task Predict Completion of Substance Abuse Treatment

V. Calhoun, K. Kiehl, G. Pearlson, 2014, Biological Psychiatry.

Abnormal brain structure in youth who commit homicide

V. Calhoun, K. Kiehl, M. Arbabshirani, 2014, NeuroImage: Clinical.

Connectivity dynamics in typical development and its relationship to autistic traits and autism spectrum disorder

Robyn L. Miller, V. Calhoun, E. Damaraju, 2018, Human brain mapping.

Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning

Christopher M Haggerty, Brandon K. Fornwalt, Tal Geva, 2018, European heart journal cardiovascular Imaging.

Neuroimaging-Based Automatic Classification of Schizophrenia

Vince D. Calhoun, Mohammad R. Arbabshirani, V. Calhoun, 2013 .

From private sites to big data without compromising privacy: A case of neuroimaging data classification

Anand D. Sarwate, Jessica A. Turner, Vince D. Calhoun, 2014 .

Using Adipose Measures from Health Care Provider-Based Imaging Data for Discovery

S. Pendergrass, M. Arbabshirani, Chirag Agarwal, 2018, Journal of obesity.

Sex and Age Effects of Functional Connectivity in Early Adulthood

Nathan D. Cahill, Chao Zhang, Stefi A. Baum, 2016, Brain Connect..

Classification of schizophrenia patients based on resting-state functional network connectivity

Vince D. Calhoun, Kent A. Kiehl, Godfrey D. Pearlson, 2013, Front. Neurosci..

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls

Vince D. Calhoun, Sergey M. Plis, Jing Sui, 2017, NeuroImage.

The tenth annual MLSP competition: Schizophrenia classification challenge

Vince D. Calhoun, Vamsi K. Potluru, Sergey M. Plis, 2014, 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP).

Autoconnectivity: A new perspective on human brain function

Vince D. Calhoun, Adrian Preda, Steven G. Potkin, 2019, Journal of Neuroscience Methods.

FUNCTIONAL NETWORK CONNECTIVITY IN HUMAN BRAIN AND ITS APPLICATIONS IN AUTOMATIC DIAGNOSIS OF BRAIN DISORDERS

Mohammad Arbabshirani, M. Arbabshirani, Mohammad R Arbabshirani, 2014 .

Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity

Vince D. Calhoun, Robyn L. Miller, Eswar Damaraju, 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

Impact of autocorrelation on functional connectivity

Vince D. Calhoun, Daniel H. Mathalon, Adrian Preda, 2014, NeuroImage.

Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging

Jessica A. Turner, Vince D. Calhoun, Eduardo Castro, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Accurate classification of schizophrenia patients based on novel resting-state fMRI features

Vince D. Calhoun, Eduardo Castro, Mohammad Arbabshirani, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Detecting volumetric changes in fMRI connectivity networks in schizophrenia patients

Vince D. Calhoun, Marios S. Pattichis, Mohammad Arbabshirani, 2014, 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Functional network connectivity during rest and task: Comparison of healthy controls and schizophrenic patients

Vince D. Calhoun, Mohammad Arbabshirani, V. Calhoun, 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Accurate segmentation of lung fields on chest radiographs using deep convolutional networks

Chirag Agarwal, Gregory Moore, Mohammad Arbabshirani, 2017, Medical Imaging.

Deep 3D convolution neural network for CT brain hemorrhage classification

Navalgund Rao, Mohammad Arbabshirani, Kamal Jnawali, 2018, Medical Imaging.

Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images

Chirag Agarwal, Gregory Moore, Mohammad Arbabshirani, 2017, Medical Imaging.