Elham Dolatabadi

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Babak TaatiScientist & Assistant Professor, KITE | Toronto Rehab - UHN & University of TorontoVerified email at uhn.ca
Alex MihailidisProfessor, Department of Occupational Science & Occupational Therapy, University of TorontoVerified email at utoronto.ca
Andrea IaboniAssociate professor, Department of Psychiatry, University of TorontoVerified email at uhn.ca
Avril MansfieldKITE-Toronto Rehabilitation Institute, University Health NetworkVerified email at uhn.ca
Sina MehdizadehCIHR Postdoctoral Fellow, Simon Fraser UniversityVerified email at sfu.ca
Rosalie H WangAssociate Professor, University of TorontoVerified email at utoronto.ca
Sina AkbarianResearcher at Vector Institute, Data Scientist at Public Health OntarioVerified email at mail.utoronto.ca
Michael H LiUniversity of Toronto, Toronto Rehabilitation InstituteVerified email at utoronto.ca
Serguei PrimakWestern University/The University of Western OntarioVerified email at uwo.ca
Rohan BhambhoriaQueen's UniversityVerified email at queensu.ca
David WiljerUHNVerified email at uhn.ca
Tilak DuttaScientist at Toronto Rehab InstituteVerified email at utoronto.ca
Kara PattersonAssociate Professor, University of Toronto; Senior scientist Toronto Rehab - UHNVerified email at utoronto.ca
Laleh Seyyed-KalantariAssistant Professor, York UniversityVerified email at yorku.ca
Farzad KhalvatiAI Chair in Medical Imaging, The Hospital for Sick Children, University of TorontoVerified email at utoronto.ca
Geoff FernieInstitute Director, Toronto Rehabilitation InstituteVerified email at uhn.ca
Samir N PatelPublic Health OntarioVerified email at oahpp.ca
vanessa g allenSinai HealthVerified email at sinaihealth.ca
Erik DrysdaleMachine Learning Specialist, The Hospital for Sick ChildrenVerified email at sickkids.ca
Twinkle AroraLaurentian UniversityVerified email at my.adler.edu

Elham Dolatabadi

Vector Institute; University of Toronto

Verified email at mail.utoronto.ca - Homepage

Artificial Intelligence machine learning HealthCare Data Science


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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	102	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	53	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	39	2018
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	37	2017
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	26	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	25	2020
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	25	2019
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	25*	2014
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	22	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	19	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	15	2013
Ubiquitous WBAN-based electrocardiogram monitoring system E Dolatabadi, S Primak 2011 IEEE 13th International Conference on e-Health Networking, Applications …, 2011	15	2011
Evaluating Knowledge Transfer in Neural Network for Medical Images S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi arXiv preprint arXiv:2008.13574, 2020	13	2020
Implementing AI in healthcare E Drysdale, E Dolatabadi, C Chivers, V Liu, S Saria, M Sendak, J Wiens, ...	9	2019
Artificial intelligence education programs for health care professionals: Scoping review R Charow, T Jeyakumar, S Younus, E Dolatabadi, M Salhia, ... JMIR Medical Education 7 (4), e31043, 2021	5	2021
Accelerating the appropriate adoption of artificial intelligence in health care: protocol for a multistepped approach D Wiljer, M Salhia, E Dolatabadi, A Dhalla, C Gillan, D Al-Mouaswas, ... JMIR Research Protocols 10 (10), e30940, 2021	5	2021
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	5	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	4	2020
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	3	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	3	2020

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