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ORCIDMohammad Pourhomayoun
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2020 – today
- 2023
[c27]Dikshant Sagar
, Farnaz Mohammadi, Mohammad Pourhomayoun, Jooeun Joen, Navid Amini:
Deep Learning Based GABA Edited-MRS Signal Reconstruction. ISVC (1) 2023: 18-29- 2022
- [c26]Pratyush Muthukumar, Shaurya Pathak, Kabir Nagrecha, Hirad Hosseini, Dawn Comer, Navid Amini, Jeanne Holm, Mohammad Pourhomayoun:
Multi-Pollutant Ground-level Air Pollution Prediction through Deep MeteoGCN-ConvLSTM. CSCI 2022: 26-34 - [c25]Thomas Huang, Nga T. Chung, Alex Dunn, Erik Hovland, Jason Kang, Thomas Loubrieu, Jessica Neu, Joe T. Roberts, Sina Hasheminassab, Kevin Marlis, Liam Bindle, Lucas Estrada, Daniel Jacob, Randall V. Martin, Jeanne Holm, Mohammad Pourhomayoun, Daven Henze, Muhammad Omar Nawaz, Chaowei Yang, Qian Liu:
An Advanced Open-Source Platform for Air Quality Analysis, Visualization, and Prediction. IGARSS 2022: 6574-6577 - 2021
- [c24]Tae Hong, Farnaz Mohammadi, Rohan Chatterjee, Eric Chan, Mohammad Pourhomayoun, Vahid Mohammadzadeh, Kouros Nouri-Mahdavi, Navid Amini:
A Novel Similarity Measure for Retinal Optical Coherence Tomography Images. ISVC (2) 2021: 276-286 - 2020
- [j13]Mohammed Kuko, Mohammad Pourhomayoun:
Single and Clustered Cervical Cell Classification with Ensemble and Deep Learning Methods. Inf. Syst. Frontiers 22(5): 1039-1051 (2020)
2010 – 2019
- 2019
- [j12]Frank C. Day, Mohammad Pourhomayoun, Deidre Keeves, Andrew F. Lees, Majid Sarrafzadeh, Douglas S. Bell, Michael A. Pfeffer:
Feasibility study of an EHR-integrated mobile shared decision making application. Int. J. Medical Informatics 124: 24-30 (2019) - [c23]Mohammed Kuko, Mohammad Pourhomayoun:
An Ensemble Machine Learning Method for Single and Clustered Cervical Cell Classification. IRI 2019: 216-222 - 2017
- [j11]Nabil Alshurafa, Costas Sideris, Mohammad Pourhomayoun, Haik Kalantarian, Majid Sarrafzadeh, Jo-Ann Eastwood:
Remote Health Monitoring Outcome Success Prediction Using Baseline and First Month Intervention Data. IEEE J. Biomed. Health Informatics 21(2): 507-514 (2017) - [c22]Steve Shim, Mohammad Pourhomayoun:
Predicting Movie Market Revenue Using Social Media Data. IRI 2017: 478-484 - [c21]Dzung Tri Nguyen, Eli Cohen, Mohammad Pourhomayoun, Nabil Alshurafa:
SwallowNet: Recurrent neural network detects and characterizes eating patterns. PerCom Workshops 2017: 401-406 - 2016
- [j10]Costas Sideris, Mohammad Pourhomayoun, Haik Kalantarian, Majid Sarrafzadeh:
A flexible data-driven comorbidity feature extraction framework. Comput. Biol. Medicine 73: 165-172 (2016) - [j9]Haik Kalantarian, Bobak Mortazavi, Mohammad Pourhomayoun, Nabil Alshurafa, Majid Sarrafzadeh:
Probabilistic segmentation of time-series audio signals using Support Vector Machines. Microprocess. Microsystems 46: 96-104 (2016) - [j8]Bobak Jack Mortazavi, Mohammad Pourhomayoun, Sunghoon Ivan Lee, Suneil Nyamathi, Brandon Wu, Majid Sarrafzadeh:
User-optimized activity recognition for exergaming. Pervasive Mob. Comput. 26: 3-16 (2016) - 2015
- [j7]Bobak Mortazavi, Mohammad Pourhomayoun, Hassan Ghasemzadeh, Roozbeh Jafari, Christian K. Roberts, Majid Sarrafzadeh:
Context-Aware Data Processing to Enhance Quality of Measurements in Wireless Health Systems: An Application to MET Calculation of Exergaming Actions. IEEE Internet Things J. 2(1): 84-93 (2015) - [j6]Nabil Alshurafa, Jo-Ann Eastwood, Suneil Nyamathi, Jason J. Liu, Wenyao Xu, Hassan Ghasemzadeh, Mohammad Pourhomayoun, Majid Sarrafzadeh:
Improving Compliance in Remote Healthcare Systems Through Smartphone Battery Optimization. IEEE J. Biomed. Health Informatics 19(1): 57-63 (2015) - [c20]Frank C. Day, Majid Sarrafzadeh, Stephanie Smith, Mohammad Pourhomayoun, Konstantinos Sideris, Amogh Param, Jonathan Ben-Hamou, Deidre Keeves, Michael A. Pfeffer, Douglas S. Bell:
An EHR-Integrated Shared Decision Making Mobile App for Prostate Cancer Screening. AMIA 2015 - [c19]Costas Sideris, Nabil Alshurafa, Mohammad Pourhomayoun, Farhad Shahmohammadi, Lauren Samy, Majid Sarrafzadeh:
A data-driven feature extraction framework for predicting the severity of condition of congestive heart failure patients. EMBC 2015: 2534-2537 - [c18]Bobak Mortazavi, Mohammad Pourhomayoun, Suneil Nyamathi, Brandon Wu, Sunghoon Ivan Lee, Majid Sarrafzadeh:
Multiple model recognition for near-realistic exergaming. PerCom 2015: 140-148 - [c17]Haik Kalantarian, Nabil Alshurafa, Mohammad Pourhomayoun, Majid Sarrafzadeh:
Power optimization for wearable devices. PerCom Workshops 2015: 568-573 - 2014
- [j5]Mohammad Pourhomayoun, Zhanpeng Jin, Mark L. Fowler:
Accurate tumor localization and tracking in radiation therapy using wireless body sensor networks. Comput. Biol. Medicine 50: 41-48 (2014) - [j4]Mohammad Pourhomayoun, Mark L. Fowler:
Cramer-Rao lower bound for frequency estimation for coherent pulse train with unknown pulse. IEEE Trans. Aerosp. Electron. Syst. 50(2): 1304-1312 (2014) - [j3]Mohammad Pourhomayoun, Mark L. Fowler:
Distributed computation for direct position determination emitter location. IEEE Trans. Aerosp. Electron. Syst. 50(4): 2878-2889 (2014) - [j2]Mohammad Pourhomayoun, Zhanpeng Jin, Mark L. Fowler:
Accurate Localization of In-Body Medical Implants Based on Spatial Sparsity. IEEE Trans. Biomed. Eng. 61(2): 590-597 (2014) - [c16]Bobak Jack Mortazavi, Mohammad Pourhomayoun, Gabriel Alsheikh, Nabil Alshurafa, Sunghoon Ivan Lee, Majid Sarrafzadeh:
Determining the Single Best Axis for Exercise Repetition Recognition and Counting on SmartWatches. BSN 2014: 33-38 - [c15]Nabil Alshurafa, Jo-Ann Eastwood, Mohammad Pourhomayoun, Suneil Nyamathi, Lily Bao, Bobak Mortazavi, Majid Sarrafzadeh:
Anti-Cheating: Detecting Self-Inflicted and Impersonator Cheaters for Remote Health Monitoring Systems with Wearable Sensors. BSN 2014: 92-97 - [c14]Nabil Alshurafa, Jo-Ann Eastwood, Mohammad Pourhomayoun, Jason J. Liu, Majid Sarrafzadeh:
Remote health monitoring: Predicting outcome success based on contextual features for cardiovascular disease. EMBC 2014: 1777-1781 - [c13]Costas Sideris, Nabil Alshurafa, Behnam Shahbazi, Majid Sarrafzadeh, Mohammad Pourhomayoun:
Using electronic health records to predict severity of condition for congestive heart failure patients. UbiComp Adjunct 2014: 1187-1192 - [c12]Nabil Alshurafa, Jo-Ann Eastwood, Mohammad Pourhomayoun, Jason J. Liu, Suneil Nyamathi, Majid Sarrafzadeh:
A Framework for Predicting Adherence in Remote Health Monitoring Systems. Wireless Health 2014: 8:1-8:8 - 2013
- [j1]Mohammad Pourhomayoun, Zhanpeng Jin, Mark L. Fowler:
Indoor Localization, Tracking and Fall Detection for Assistive Healthcare Based on Spatial Sparsity and Wireless Sensor Network. Int. J. Monit. Surveillance Technol. Res. 1(2): 72-83 (2013) - [c11]Peter Dugan, Mohammad Pourhomayoun, Yu Shiu, Rosemary D. Paradis, Aaron Rice, Christopher W. Clark:
Using High Performance Computing to Explore Large Complex Bioacoustic Soundscapes: Case Study for Right Whale Acoustics. Complex Adaptive Systems 2013: 156-162 - [i3]Marian Popescu, Peter Dugan, Mohammad Pourhomayoun, Denise Risch, Hal Lewis, Christopher W. Clark:
Bioacoustical Periodic Pulse Train Signal Detection and Classification using Spectrogram Intensity Binarization and Energy Projection. CoRR abs/1305.3250 (2013) - [i2]Mohammad Pourhomayoun, Peter Dugan, Marian Popescu, Denise Risch, Hal Lewis, Christopher W. Clark:
Classification for Big Dataset of Bioacoustic Signals Based on Human Scoring System and Artificial Neural Network. CoRR abs/1305.3633 (2013) - [i1]Mohammad Pourhomayoun, Peter Dugan, Marian Popescu, Christopher W. Clark:
Bioacoustic Signal Classification Based on Continuous Region Processing, Grid Masking and Artificial Neural Network. CoRR abs/1305.3635 (2013) - 2012
- [c10]Mohammad Pourhomayoun, Mark L. Fowler:
Cramer-Rao lower bounds for estimation of phase in LBI based localization systems. ACSCC 2012: 909-911 - [c9]Mohammad Pourhomayoun, Mark L. Fowler:
Improving WLAN-based indoor mobile positioning using sparsity. ACSCC 2012: 1393-1396 - [c8]Mohammad Pourhomayoun, Mark L. Fowler, Zhanpeng Jin:
A novel method for tumor localization and tracking in radiation therapy. ACSCC 2012: 1637-1640 - [c7]Mohammad Pourhomayoun, Mark L. Fowler:
De-noising by wiener filter and wavelet based methods for emitter localization systems. CISS 2012: 1-4 - [c6]Mohammad Pourhomayoun, Mark L. Fowler, N. Eva Wu:
Spatial sparsity based emitter localization. CISS 2012: 1-4 - [c5]Mohammad Pourhomayoun, Zhanpeng Jin, Mark L. Fowler:
Spatial sparsity based indoor localization in wireless sensor network for assistive healthcare. EMBC 2012: 3696-3699 - [c4]Mohammad Pourhomayoun, Mark L. Fowler, Zhanpeng Jin:
A novel method for medical implant in-body localization. EMBC 2012: 5757-5760 - [c3]Mohammad Pourhomayoun, Mark L. Fowler:
Sensor network distributed computation for Direct Position Determination. SAM 2012: 125-128 - 2011
- [c2]Mohammad Pourhomayoun, Mark L. Fowler:
An SVD approach for data compression in emitter location systems. ACSCC 2011: 257-261 - [c1]Mohammad Pourhomayoun, Mark L. Fowler:
Exploiting cross ambiguity function properties for data compression in emitter location systems. CISS 2011: 1-5
Coauthor Index
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