Mohammad Reza Arbabshirani, PhD
Mohammad Reza Arbabshirani, PhD
Lighthouse Data & Analytics Center of Excellence, KPMG
Email verificata su kpmg.com
TitoloCitata daAnno
Single subject prediction of brain disorders in neuroimaging: promises and pitfalls
MR Arbabshirani, S Plis, J Sui, VD Calhoun
Neuroimage 145, 137-165, 2017
3182017
Classification of schizophrenia patients based on resting-state functional network connectivity
MR Arbabshirani, K Kiehl, G Pearlson, VD Calhoun
Frontiers in neuroscience 7, 133, 2013
1222013
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
1212016
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
972012
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
792013
Impact of autocorrelation on functional connectivity
MR Arbabshirani, E Damaraju, R Phlypo, S Plis, E Allen, S Ma, ...
Neuroimage 102, 294-308, 2014
582014
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
482014
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), 1-7, 2018
442018
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
392014
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 Processingá…, 2014
372014
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
342014
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, 105751C, 2018
282018
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
252016
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
242018
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 andá…, 2011
222011
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 iná…, 2014
202014
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, 1013305, 2017
192017
Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging
E Castro, CN Gupta, M MartÝnez-Ramˇn, VD Calhoun, MR Arbabshirani, ...
2014 36th Annual International Conference of the IEEE Engineering iná…, 2014
182014
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
132018
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
112018
Il sistema al momento non pu˛ eseguire l'operazione. Riprova pi¨ tardi.
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