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Mohammad Arbabshirani
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2010 – 2019
- 2019
- [c11]Kamal Jnawali, Mohammad R. Arbabshirani, Alvaro E. Ulloa
, Navalgund Rao, Aalpen A. Patel:
Automatic Classification of Radiological Report for Intracranial Hemorrhage. ICSC 2019: 187-190 - 2018
- [j6]Mohammad R. Arbabshirani, Brandon K. Fornwalt
Advanced machine learning in action: identification of intracranial hemorrhage on computed tomography scans of the head with clinical workflow integration. npj Digit. Medicine 1 (2018) - [c10]Kamal Jnawali, Mohammad R. Arbabshirani, Navalgund Rao, Aalpen A. Patel:
Deep 3D convolution neural network for CT brain hemorrhage classification. Computer-Aided Diagnosis 2018: 105751C - 2017
- [j5]Mohammad R. Arbabshirani, Sergey M. Plis, Jing Sui
Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls. NeuroImage 145: 137-165 (2017) - [c9]Ahmed H. Dallal
Automatic estimation of heart boundaries and cardiothoracic ratio from chest x-ray images. Computer-Aided Diagnosis 2017: 101340K - [c8]Chirag Agarwal, Ahmed H. Dallal
Unsupervised quantification of abdominal fat from CT images using Greedy Snakes. Image Processing 2017: 101332T - [c7]Mohammad R. Arbabshirani, Ahmed H. Dallal
Accurate segmentation of lung fields on chest radiographs using deep convolutional networks. Image Processing 2017: 1013305 - 2016
- [j4]Chao Zhang, Nathan D. Cahill
Sex and Age Effects of Functional Connectivity in Early Adulthood. Brain Connect. 6(9): 700-713 (2016) - [j3]Barnaly Rashid
Classification of schizophrenia and bipolar patients using static and dynamic resting-state fMRI brain connectivity. NeuroImage 134: 645-657 (2016) - 2015
- [c6]Barnaly Rashid, Mohammad R. Arbabshirani, Eswar Damaraju, Robyn L. Miller, Mustafa S. Çetin, Godfrey D. Pearlson, Vince D. Calhoun:
Classification of schizophrenia and bipolar patients using static and time-varying resting-state FMRI brain connectivity. ISBI 2015: 251-254 - 2014
- [j2]Anand D. Sarwate
Sharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validation. Frontiers Neuroinformatics 8: 35 (2014) - [j1]Mohammad R. Arbabshirani, Eswar Damaraju, Ronald Phlypo, Sergey M. Plis
Impact of autocorrelation on functional connectivity. NeuroImage 102: 294-308 (2014) - [c5]Mohammad R. Arbabshirani, Marios S. Pattichis
Detecting volumetric changes in fMRI connectivity networks in schizophrenia patients. EMBC 2014: 726-729 - [c4]Eduardo Castro, Cota Navin Gupta, Manel Martínez-Ramón, Vince D. Calhoun
Identification of patterns of gray matter abnormalities in schizophrenia using source-based morphometry and bagging. EMBC 2014: 1513-1516 - [c3]Mohammad R. Arbabshirani, Eduardo Castro, Vince D. Calhoun:
Accurate classification of schizophrenia patients based on novel resting-state fMRI features. EMBC 2014: 6691-6694 - [c2]Rogers F. Silva
The tenth annual MLSP competition: Schizophrenia classification challenge. MLSP 2014: 1-6 - 2011
- [c1]Mohammad R. Arbabshirani, Vince D. Calhoun
Functional network connectivity during rest and task: Comparison of healthy controls and schizophrenic patients. EMBC 2011: 4418-4421
Coauthor Index
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