| Concurrent validity of the Microsoft Kinect for Windows v2 for measuring spatiotemporal gait parameters E Dolatabadi, B Taati, A Mihailidis Medical engineering & physics 38 (9), 952-958, 2016 | 72 | 2016 |
| An automated classification of pathological gait using unobtrusive sensing technology E Dolatabadi, B Taati, A Mihailidis IEEE Transactions on Neural Systems and Rehabilitation Engineering 25 (12 …, 2017 | 24 | 2017 |
| Quantitative Mobility Assessment for Fall Risk Prediction in Dementia: A Systematic Review E Dolatabadi, K Van Ooteghem, T Babak, I Andrea Dementia Geriatric Cognitive Disorder 45 (5-6), https://www.karger.com …, 2018 | 18 | 2018 |
| Vision-based approach for long-term mobility monitoring: Single case study following total hip replacement E Dolatabadi, B Taati, A Mihailidis Journal of Rehabilitation Research and Development (JRRD) 51 (7), 1165–1176, 2014 | 17* | 2014 |
| Automatic detection of compensation during robotic stroke rehabilitation therapy YX Zhi, M Lukasik, MH Li, E Dolatabadi, RH Wang, B Taati IEEE journal of translational engineering in health and medicine 6, 1-7, 2017 | 16 | 2017 |
| Ubiquitous WBAN-based electrocardiogram monitoring system E Dolatabadi, S Primak 2011 IEEE 13th International Conference on e-Health Networking, Applications …, 2011 | 14 | 2011 |
| The feasibility of a vision-based sensor for longitudinal monitoring of mobility in older adults with dementia E Dolatabadi, YX Zhi, AJ Flint, A Mansfield, A Iaboni, B Taati Archives of Gerontology and Geriatrics, 2019 | 13 | 2019 |
| Mixture-model Clustering of Pathological Gait Patterns E Dolatabadi, A Mansfield, KK Patterson, B Taati, A Mihailidis IEEE Journal of Biomedical and Health Informatics, 2016 | 13 | 2016 |
| Automated classification of pathological gait after stroke using ubiquitous sensing technology E Dolatabadi, B Taati, A Mihailidis 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 12 | 2016 |
| A markerless motion tracking approach to understand changes in gait and balance: A case study E Dolatabadi, B Taati, GS Parra-Dominguez, A Mihailidis Proceedings of the Rehabilitation Engineering and Assistive Technology …, 2013 | 12 | 2013 |
| The Toronto Rehab Stroke Pose Dataset to Detect Compensation during Stroke Rehabilitation Therapy E Dolatabadi, Y Zhi, B Ye, G Lupinacci, A Mihailidis, R Wang, B Taati 11th EAI International Conference on Pervasive Computing Technologies for …, 2018 | 11 | 2018 |
| Vision-based assessment of gait features associated with falls in people with dementia S Mehdizadeh, E Dolatabadi, KD Ng, A Mansfield, A Flint, B Taati, ... The Journals of Gerontology: Series A 75 (6), 1148-1153, 2020 | 9 | 2020 |
| Evaluating Knowledge Transfer in Neural Network for Medical Images S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi arXiv preprint arXiv:2008.13574, 2020 | 2 | 2020 |
| Implementing AI in healthcare E Drysdale, E Dolatabadi, C Chivers, V Liu, S Saria, M Sendak, J Wiens, ... | 1 | 2019 |
| An Experimental Evaluation of Transformer-based Language Models in the Biomedical Domain P Grouchy, S Jain, M Liu, K Wang, M Tian, N Arora, H Ngai, FK Khattak, ... arXiv preprint arXiv:2012.15419, 2020 | | 2020 |
| Deep Learning and NLP For Knowledge Extraction from Laboratory Reports B Chen, E Dolatabadi, J Kwong, M Azimaee International Journal of Population Data Science 5 (5), 2020 | | 2020 |
| A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature R Bhambhoria, L Feng, D Sepehr, J Chen, C Cowling, S Kocak, ... Proceedings of the First Workshop on Scholarly Document Processing, 20-30, 2020 | | 2020 |
| A Computer Vision Approach to Combat Lyme Disease S Akbarian, T Cawston, L Moreno, S Patel, V Allen, E Dolatabadi arXiv preprint arXiv:2009.11931, 2020 | | 2020 |
| Toward mitigating pressure injuries: Detecting patient orientation from vertical bed reaction forces G Wong, S Gabison, E Dolatabadi, G Evans, T Kajaks, P Holliday, ... Journal of rehabilitation and assistive technologies engineering 7 …, 2020 | | 2020 |
| Using kinect camera to quantify gait variables that can predict falls in older adults with dementia B Taati, S Mehdizadeh, E Dolatabadi, T Arora, KD Ng, A Iaboni ASSISTIVE TECHNOLOGY 31 (5), 246-247, 2019 | | 2019 |
Babak TaatiScientist & Assistant Professor, KITE | Toronto Rehab - UHN & University of TorontoVerified email at uhn.ca
