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Mohammad Pourhomayoun

Showing results (1-10 of 14) with videos related to

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Smart Health (Amsterdam, Netherlands)|February 1, 2021
Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-makingMohammad Pourhomayoun, Mahdi Shakibi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Spatial sparsity based indoor localization in wireless sensor network for assistive healthcareMohammad Pourhomayoun, Zhanpeng Jin, Mark Fowler
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
A novel method for medical implant in-body localizationMohammad Pourhomayoun, Mark Fowler, Zhanpeng Jin
Computers in Biology and Medicine|May 17, 2014
Accurate tumor localization and tracking in radiation therapy using wireless body sensor networksMohammad Pourhomayoun, Zhanpeng Jin, Mark Fowler
IEEE Transactions on Bio-Medical Engineering|October 11, 2013
Accurate localization of in-body medical implants based on spatial sparsityMohammad Pourhomayoun, Zhanpeng Jin, Mark L Fowler
Computers in Biology and Medicine|April 30, 2016
A flexible data-driven comorbidity feature extraction frameworkCostas Sideris, Mohammad Pourhomayoun, Haik Kalantarian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A data-driven feature extraction framework for predicting the severity of condition of congestive heart failure patientsCostas Sideris, Nabil Alshurafa, Mohammad Pourhomayoun, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Remote health monitoring: predicting outcome success based on contextual features for cardiovascular diseaseNabil Alshurafa, Jo-Ann Eastwood, Mohammad Pourhomayoun, et al.
IEEE Journal of Biomedical and Health Informatics|January 19, 2016
Remote Health Monitoring Outcome Success Prediction Using Baseline and First Month Intervention DataNabil Alshurafa, Costas Sideris, Mohammad Pourhomayoun, et al.
International Journal of Medical Informatics|February 21, 2019
Feasibility study of an EHR-integrated mobile shared decision making applicationFrank C Day, Mohammad Pourhomayoun, Deidre Keeves, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Smart Health (Amsterdam, Netherlands)|February 1, 2021
Predicting mortality risk in patients with COVID-19 using machine learning to help medical decision-makingMohammad Pourhomayoun, Mahdi Shakibi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Spatial sparsity based indoor localization in wireless sensor network for assistive healthcareMohammad Pourhomayoun, Zhanpeng Jin, Mark Fowler
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
A novel method for medical implant in-body localizationMohammad Pourhomayoun, Mark Fowler, Zhanpeng Jin
Computers in Biology and Medicine|May 17, 2014
Accurate tumor localization and tracking in radiation therapy using wireless body sensor networksMohammad Pourhomayoun, Zhanpeng Jin, Mark Fowler
IEEE Transactions on Bio-Medical Engineering|October 11, 2013
Accurate localization of in-body medical implants based on spatial sparsityMohammad Pourhomayoun, Zhanpeng Jin, Mark L Fowler
Computers in Biology and Medicine|April 30, 2016
A flexible data-driven comorbidity feature extraction frameworkCostas Sideris, Mohammad Pourhomayoun, Haik Kalantarian, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
A data-driven feature extraction framework for predicting the severity of condition of congestive heart failure patientsCostas Sideris, Nabil Alshurafa, Mohammad Pourhomayoun, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Remote health monitoring: predicting outcome success based on contextual features for cardiovascular diseaseNabil Alshurafa, Jo-Ann Eastwood, Mohammad Pourhomayoun, et al.
IEEE Journal of Biomedical and Health Informatics|January 19, 2016
Remote Health Monitoring Outcome Success Prediction Using Baseline and First Month Intervention DataNabil Alshurafa, Costas Sideris, Mohammad Pourhomayoun, et al.
International Journal of Medical Informatics|February 21, 2019
Feasibility study of an EHR-integrated mobile shared decision making applicationFrank C Day, Mohammad Pourhomayoun, Deidre Keeves, et al.
Pageof 2