| A multi-classifier approach to MUAP classification for diagnosis of neuromuscular disorders T Kamali, R Boostani, H Parsaei IEEE transactions on neural systems and rehabilitation engineering 22 (1 …, 2013 | 103 | 2013 |
| An artificial intelligence-based clinical decision support system for large kidney stone treatment T Shabaniyan, H Parsaei, A Aminsharifi, MM Movahedi, AT Jahromi, ... Australasian physical & engineering sciences in medicine 42 (3), 771-779, 2019 | 100 | 2019 |
| Predicting the Postoperative Outcome of Percutaneous Nephrolithotomy with Machine Learning System: Software Validation and Comparative Analysis with Guy's Stone Score and the … A Aminsharifi, D Irani, S Tayebi, T Jafari Kafash, T Shabanian, H Parsaei Journal of endourology 34 (6), 692-699, 2020 | 79 | 2020 |
| A Machine Learning-Based System for Detecting Leishmaniasis in Microscopic Images M Zare, H Akbarialiabad, H Parsaei, Q Asgari, A Alinejad, MS Bahreini, ... BMC Infectious Diseases 22 (48), 1-6, 2022 | 66 | 2022 |
| EMG Signal Decomposition Using Motor Unit Potential Train Validity H Parsaei, D Stashuk IEEE Transactions on Neural Systems and Rehabilitation 21 (2), 265 - 274, 2013 | 65 | 2013 |
| Intramuscular EMG signal decomposition H Parsaei, DW Stashuk, S Rasheed, C Farkas, A Hamilton-Wright Critical Reviews™ in Biomedical Engineering 38 (5), 2010 | 61 | 2010 |
| Cognitive demands and mental workload: A filed study of the mining control room operators M Mohammadian, H Parsaei, H Mokarami, R Kazemi Heliyon 8 (2), 2022 | 60 | 2022 |
| A review of clinical quantitative electromyography C Farkas, A Hamilton-Wright, H Parsaei, DW Stashuk Critical Reviews™ in Biomedical Engineering 38 (5), 2010 | 58 | 2010 |
| A Semi-Automatic Algorithm for Estimating Cobb Angle A Safari, H Parsaei, A Zamani, B Pourabbas Journal of Biomedical Physics and Engineering 9 (3), 317-326, 2019 | 48 | 2019 |
| Design and fabrication of helmholtz coils to study the effects of pulsed electromagnetic fields on the healing process in periodontitis: preliminary animal results A Haghnegahdar, H Khosrovpanah, A Andisheh-Tadbir, G Mortazavi, ... Journal of biomedical physics & engineering 4 (3), 83, 2014 | 44 | 2014 |
| Cross Comparison of Motor Unit Potential Features used in EMG Signal Decomposition M Ghofrani Jahromi, H Parsaei, A Zamani, DW Stashuk IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (5 …, 2018 | 39 | 2018 |
| Engineered artificial articular cartilage made of decellularized extracellular matrix by mechanical and IGF-1 stimulation M Sani, R Hosseinie, M Latifi, M Shadi, M Razmkhah, M Salmannejad, ... Biomaterials Advances 139, 213019, 2022 | 32 | 2022 |
| Comparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition M Ghofrani Jahromi, H Parsaei, A Zamani, M Dehbozorgi Journal of Biomedical Physics and Engineering 7 (4), 365-378, 2017 | 31 | 2017 |
| Rock squeezing prediction by a support vector machine classifier A Shafiei, H Parsaei, MB Dusseault ARMA US Rock Mechanics/Geomechanics Symposium, ARMA-2012-435, 2012 | 31 | 2012 |
| Single Channel EEG Artifact Identification Using Two-Dimensional Multi-Resolution Analysis M Taherisadr, O Dehzangi, H Parsaei Sensors 17 (12), 2017 | 29 | 2017 |
| SVM-based validation of motor unit potential trains extracted by EMG signal decomposition H Parsaei, DW Stashuk IEEE transactions on biomedical engineering 59 (1), 183-191, 2011 | 29 | 2011 |
| Investigation of office workers’ sitting behaviors in an ergonomically adjusted workstation S Tahernejad, A Choobineh, M Razeghi, M Abdoli-Eramaki, H Parsaei, ... International Journal of Occupational Safety and Ergonomics 28 (4), 2346-2354, 2022 | 28 | 2022 |
| A machine learning model for predicting favorable outcome in severe traumatic brain injury patients after 6 months M Nourelahi, F Dadboud, H Khalili, A Niakan, H Parsaei Acute and critical care, 2022 | 27 | 2022 |
| 3D cerebral MR image segmentation using multiple-classifier system S Amiri, MM Movahedi, K Kazemi, H Parsaei Medical & Biological Engineering & Computing 55 (3), 353-364, 2017 | 23 | 2017 |
| A System for Accurately Predicting the Risk OF Myocardial Infarction using PCG, ECG and Clinical Features M Zarrabi, H Parsaei, R Boostani, A Zare, Z Dorfeshan, K Zarrabi, J Kojuri Biomedical Engineering: Applications, Basis and Communications 29 (3), 2017 | 21 | 2017 |
Daniel W StashukProfessor, Systems Design Engineering, University of WaterlooVerified email at uwaterloo.ca
