| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 519 | 2021 |
| Federated Learning used for predicting outcomes in SARS-COV-2 patients M Flores, I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, ... Research Square, 2021 | 54 | 2021 |
| Extraction and classification of multichannel electromyographic activation trajectories for hand movement recognition M AbdelMaseeh, TW Chen, DW Stashuk IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (6 …, 2015 | 44 | 2015 |
| Car make and model recognition combining global and local cues M AbdelMaseeh, I Badreldin, MF Abdelkader, M El Saban Proceedings of the 21st International Conference on Pattern Recognition …, 2012 | 44 | 2012 |
| Feature selection for motor unit potential train characterization M Abdelmaseeh, B Smith, D Stashuk Muscle & nerve 49 (5), 680-690, 2014 | 19 | 2014 |
| Affine and regional dynamic time warping TW Chen, M Abdelmaseeh, D Stashuk 2015 IEEE International Conference on Data Mining Workshop (ICDMW), 440-448, 2015 | 10 | 2015 |
| Transparent Muscle Characterization using Quantitative Electromyography: Different Binarization Mappings M AbdelMaseeh, T Chen, P Poupart, B Smith, D Stashuk Neural Systems and Rehabilitation Engineering, IEEE Transactions on 22 (3 …, 2014 | 8 | 2014 |
| e Silva PMC I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... | 6 | 2021 |
| Motor Unit Potential Jitter: A New Measure of Neuromuscular Transmission Instability M AbdelMaseeh, DW Stashuk IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (7 …, 2017 | 6 | 2017 |
| Multifunction myoelectric control using multi-dimensional dynamic time warping M AbdelMaseeh, TW Chen, D Stashuk 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 6 | 2014 |
| Detecting neuropathy using measures of motor unit activation extracted from standard concentric needle electromyographic signals M AbdelMaseeh, B Smith, D Stashuk 2014 36th Annual International Conference of the IEEE Engineering in …, 2014 | 3 | 2014 |
| Muscle categorization using quantitative needle electromyography: A 2-stage Gaussian mixture model based approach M Abdelmaseeh, P Poupart, B Smith, D Stashuk 2012 11th International Conference on Machine Learning and Applications 1 …, 2012 | 3 | 2012 |
| Looking under the blanket for better measures of motor unit potential size and complexity D Stashuk, M AbdelMaseeh, B Smith Muscle & Nerve 48 (4), 669-669, 2013 | 2 | 2013 |
| Federated learning for predicting clinical outcomes in covid-19 patients I Dayan, H Roth, A Zhong, A Harouni, A Gentili, A Abidin, A Liu, AB Costa, ... Nature Medicine, 2021 | 1 | 2021 |
| Epileptiform events detection using a two-stage approach based on multiscale edge detection and artificial neural networks M AbdelMaseeh, A Gaber, A Morsy 2011 5th International IEEE/EMBS Conference on Neural Engineering, 112-115, 2011 | 1 | 2011 |
| Characterization of Neuromuscular Disorders Using Quantitative Electromyographic Techniques M AbdelMaseeh University of Waterloo, 2016 | | 2016 |
| 2014 Index IEEE Transactions on Neural Systems and Rehabilitation Engineering Vol. 22 B Aazhang, M AbdelMaseeh, M Aghagolzadeh, V Agostini, YS Akgul, ... IEEE Transactions on Neural Systems and Rehabilitation Engineering 22 (6), 1229, 2014 | | 2014 |
| Semi-Supervised Learning Algorithm for Automatic Detection of Epileptic Discharges from Long-term EEG Monitoring M AbdelMaseeh Cairo University, 2011 | | 2011 |
Daniel W StashukProfessor, Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
