Parsa Hosseini
Parsa Hosseini
Sr Staff AI/ML Technical Manager
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A review on machine learning for EEG signal processing in bioengineering
MP Hosseini, A Hosseini, K Ahi
IEEE reviews in biomedical engineering 14, 204-218, 2020
Optimized deep learning for EEG big data and seizure prediction BCI via internet of things
MP Hosseini, D Pompili, K Elisevich, H Soltanian-Zadeh
IEEE Transactions on Big Data 3 (4), 392-404, 2017
Cloud-based Deep Learning of Big EEG Data for Epileptic Seizure Prediction
MP Hosseini, H Soltanian-Zadeh, K Elisevich, D Pompili
IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2016
Real-time epileptic seizure detection from eeg signals via random subspace ensemble learning
MP Hosseini, A Hajisami, D Pompili
2016 IEEE international conference on autonomic computing (ICAC), 209-218, 2016
Deep Learning with Edge Computing for Localization of Epileptogenicity using Multimodal rs-fMRI and EEG Big Data
MP Hosseini, T Tran, D Pompili, K Elisevich, H Soltanian-Zadeh
IEEE International Conference on Autonomic Computing, 2017
Multimodal data analysis of epileptic EEG and rs-fMRI via deep learning and edge computing
MP Hosseini, TX Tran, D Pompili, K Elisevich, H Soltanian-Zadeh
Artificial Intelligence in Medicine 104, 101813, 2020
Random ensemble learning for EEG classification
MP Hosseini, D Pompili, K Elisevich, H Soltanian-Zadeh
Artificial intelligence in medicine 84, 146-158, 2018
Comparative performance evaluation of automated segmentation methods of hippocampus from magnetic resonance images of temporal lobe epilepsy patients
MP Hosseini, MR Nazem‐Zadeh, D Pompili, K Jafari‐Khouzani, ...
Medical physics 43 (1), 538-553, 2016
Mobile Edge Computing: Recent Efforts and Five Key Research Directions
TX Tran, MP Hosseini, D Pompili
MMTC Communications-Frontiers 12 (4), 29-34, 2017
Deep learning architectures
MP Hosseini, S Lu, K Kamaraj, A Slowikowski, HC Venkatesh
Deep learning: concepts and architectures, 1-24, 2020
Diagnosis of autism in children using facial analysis and deep learning
M Beary, A Hadsell, R Messersmith, MP Hosseini
arXiv preprint arXiv:2008.02890, 2020
Statistical validation of automatic methods for hippocampus segmentation in mr images of epileptic patients
MP Hosseini, MR Nazem-Zadeh, D Pompili, H Soltanian-Zadeh
2014 36th Annual International Conference of the IEEE Engineering in …, 2014
Support Vector Machine with nonlinear-kernel optimization for lateralization of epileptogenic hippocampus in MR images
MP Hosseini, MR Nazem-Zadeh, D Pompili, K Jafari, K Elisevich, ...
Engineering in Medicine and Biology Society (EMBC), 2014 36th Annual …, 2014
Survey of terahertz photonics and biophotonics
K Ahi, N Jessurun, MP Hosseini, N Asadizanjani
Optical Engineering 59 (6), 061629-061629, 2020
A novel method for identification of COPD in inspiratory and expiratory states of CT images
MP Hosseini, H Soltanian-Zadeh, S Akhlaghpoor
Biomedical Engineering (MECBME), 2011 IEEE 1st Middle East Conference on …, 2011
Detection and Severity Scoring of Chronic Obstructive Pulmonary Disease Using Volumetric Analysis of Lung CT Images
MP Hosseini, H Soltanian-Zadeh, S Akhlaghpoor
Iranian Journal of Radiology 9 (1), 22, 2012
A new scheme for evaluation of air-trapping in CT images
MP Hosseini, H Soltanian-Zadeh, S Akhlaghpoor, A Behrad
Machine Vision and Image Processing (MVIP), 2010 IEEE 6th Iranian, 1-4, 2010
Brain-computer interface for analyzing epileptic big data
MP Hosseini
Rutgers University-School of Graduate Studies, 2018
Computer-Aided diagnosis system for the evaluation of chronic obstructive pulmonary disease on CT Images
MP Hosseini, H Soltanian-Zadeh, S Akhlaghpoor
Tehran University Medical Journal TUMS Publications 68 (12), 718-725, 2011
Assessing lung volumetric variation to detect and stage COPD
MP Hosseini, H Soltanian-Zadeh, S Akhlaghpoor
2011 1st Middle East Conference on Biomedical Engineering, 312-315, 2011
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