| Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls MR Arbabshirani, S Plis, J Sui, VD Calhoun Neuroimage 145, 137-165, 2017 | 880 | 2017 |
| Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration MR Arbabshirani, BK Fornwalt, GJ Mongelluzzo, JD Suever, BD Geise, ... NPJ digital medicine 1 (1), 9, 2018 | 379 | 2018 |
| Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity B Rashid, MR Arbabshirani, E Damaraju, MS Cetin, R Miller, GD Pearlson, ... Neuroimage 134, 645-657, 2016 | 332 | 2016 |
| Classification of schizophrenia patients based on resting-state functional network connectivity MR Arbabshirani, KA Kiehl, GD Pearlson, VD Calhoun Frontiers in neuroscience 7, 133, 2013 | 206 | 2013 |
| Brain connectivity networks in schizophrenia underlying resting state functional magnetic resonance imaging Q Yu, E A Allen, J Sui, M R Arbabshirani, G Pearlson, V D Calhoun Current topics in medicinal chemistry 12 (21), 2415-2425, 2012 | 163 | 2012 |
| Deep 3D convolution neural network for CT brain hemorrhage classification K Jnawali, MR Arbabshirani, N Rao, AA Patel Medical Imaging 2018: Computer-Aided Diagnosis 10575, 307-313, 2018 | 133 | 2018 |
| Functional network connectivity during rest and task conditions: a comparative study MR Arbabshirani, M Havlicek, KA Kiehl, GD Pearlson, VD Calhoun Human brain mapping 34 (11), 2959-2971, 2013 | 124 | 2013 |
| Sex and age effects of functional connectivity in early adulthood C Zhang, ND Cahill, MR Arbabshirani, T White, SA Baum, AM Michael Brain connectivity 6 (9), 700-713, 2016 | 118 | 2016 |
| Impact of autocorrelation on functional connectivity MR Arbabshirani, E Damaraju, R Phlypo, S Plis, E Allen, S Ma, ... Neuroimage 102, 294-308, 2014 | 111 | 2014 |
| Connectivity dynamics in typical development and its relationship to autistic traits and autism spectrum disorder B Rashid, LME Blanken, RL Muetzel, R Miller, E Damaraju, ... Human brain mapping 39 (8), 3127-3142, 2018 | 109 | 2018 |
| Abnormal brain structure in youth who commit homicide LM Cope, E Ermer, LM Gaudet, VR Steele, AL Eckhardt, MR Arbabshirani, ... Neuroimage: clinical 4, 800-807, 2014 | 95 | 2014 |
| Brain potentials measured during a Go/NoGo task predict completion of substance abuse treatment VR Steele, BC Fink, JM Maurer, MR Arbabshirani, CH Wilber, AJ Jaffe, ... Biological psychiatry 76 (1), 75-83, 2014 | 76 | 2014 |
| Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation AD Sarwate, SM Plis, JA Turner, MR Arbabshirani, VD Calhoun Frontiers in neuroinformatics 8, 35, 2014 | 64 | 2014 |
| Predicting deterioration of ventricular function in patients with repaired tetralogy of Fallot using machine learning MD Samad, GJ Wehner, MR Arbabshirani, L Jing, AJ Powell, T Geva, ... European Heart Journal-Cardiovascular Imaging 19 (7), 730-738, 2018 | 63 | 2018 |
| Accurate segmentation of lung fields on chest radiographs using deep convolutional networks MR Arbabshirani, AH Dallal, C Agarwal, A Patel, G Moore Medical Imaging 2017: Image Processing 10133, 37-42, 2017 | 51 | 2017 |
| The tenth annual MLSP competition: Schizophrenia classification challenge RF Silva, E Castro, CN Gupta, M Cetin, M Arbabshirani, VK Potluru, ... 2014 IEEE international workshop on machine learning for signal processing …, 2014 | 49 | 2014 |
| Machine learning of functional magnetic resonance imaging network connectivity predicts substance abuse treatment completion VR Steele, JM Maurer, MR Arbabshirani, ED Claus, BC Fink, V Rao, ... Biological Psychiatry: Cognitive Neuroscience and Neuroimaging 3 (2), 141-149, 2018 | 41 | 2018 |
| Accurate classification of schizophrenia patients based on novel resting-state fMRI features MR Arbabshirani, E Castro, VD Calhoun 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 38 | 2014 |
| Functional network connectivity during rest and task: comparison of healthy controls and schizophrenic patients MR Arbabshirani, VD Calhoun 2011 Annual International Conference of the IEEE Engineering in Medicine and …, 2011 | 29 | 2011 |
| Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images AH Dallal, C Agarwal, MR Arbabshirani, A Patel, G Moore Medical Imaging 2017: Computer-Aided Diagnosis 10134, 134-143, 2017 | 28 | 2017 |
Vince D. CalhounDirector-Translational Research in Neuroimaging and Data Science (TReNDS;GSU/GAtech/Emory)在 gsu.edu 的电子邮件经过验证
