| Vision-Based Heart and Respiratory Rate Monitoring During Sleep–A Validation Study for the Population at Risk of Sleep Apnea K Zhu, M Li, S Akbarian, M Hafezi, A Yadollahi, B Taati IEEE Journal of Translational Engineering in Health and Medicine 7, 1-8, 2019 | 32 | 2019 |
| Automated Non-Contact Detection of Head and Body Positions During Sleep S Akbarian, G Delfi, K Zhu, A Yadollahi, B Taati IEEE Access 7, 72826-72834, 2019 | 31 | 2019 |
| Distinguishing obstructive versus central apneas in infrared video of sleep using deep learning: Validation study S Akbarian, N Montazeri Ghahjaverestan, A Yadollahi, B Taati Journal of Medical Internet Research 22 (5), e17252, 2020 | 24 | 2020 |
| Evaluating knowledge transfer in the neural network for medical images S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi IEEE Access, 2023 | 16 | 2023 |
| Noncontact Sleep Monitoring With Infrared Video Data to Estimate Sleep Apnea Severity and Distinguish Between Positional and Nonpositional Sleep Apnea: Model Development and … S Akbarian, NM Ghahjaverestan, A Yadollahi, B Taati Journal of Medical Internet Research 23 (11), e26524, 2021 | 10 | 2021 |
| Detection of ADHD cases using CNN and classical classifiers of raw EEG B TaghiBeyglou, A Shahbazi, F Bagheri, S Akbarian, M Jahed Computer Methods and Programs in Biomedicine Update 2, 100080, 2022 | 8 | 2022 |
| A Computer Vision Approach to Identifying Ticks related to Lyme Disease S Akbarian, MP Nelder, CB Russell, T Cawston, L Moreno, SN Patel, ... IEEE Journal of Translational Engineering in Health and Medicine, 2021 | 8* | 2021 |
| Sleep/wakefulness detection using tracheal sounds and movements N Montazeri Ghahjaverestan, S Akbarian, M Hafezi, S Saha, K Zhu, ... Nature and Science of Sleep, 1009-1021, 2020 | 5 | 2020 |
| Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals S Akbarian, Q Jetha, J Jeon NeurIPS 2022 Workshop on Learning from Time Series for Health, 2022 | 2 | 2022 |
| Vision-based detection and quantification of maternal sleeping position in the third trimester of pregnancy in the home setting–Building the dataset and model AJ Kember, R Selvarajan, E Park, H Huang, H Zia, F Rahman, S Akbarian, ... PLOS Digital Health 2 (10), e0000353, 2023 | 1 | 2023 |
| Vision-based contactless respiratory rate monitoring during sleep K Zhu, M Li, S Akbarian, M Hafezi, A Yadollahi, B Taati Sleep Medicine 64, S428, 2019 | 1 | 2019 |
| All You Need is LOVE: Large Optimized Vector Embeddings Network for Drug Repurposing S Akbarian, S Asgarian, J Jeon NeurIPS 2023 Workshop on New Frontiers of AI for Drug Discovery and Development, 2023 | | 2023 |
| Transitioning sleeping position detection in late pregnancy using computer vision from controlled to real-world settings: an observational study A Kember, H Zia, P Elangainesan, ME Hsieh, R Adijeh, I Li, L Ritchie, ... Authorea Preprints, 2023 | | 2023 |
| A Computer Vision Approach to Analyse Sleep in Infrared Video S Akbarian University of Toronto (Canada), 2020 | | 2020 |
| Non-contact detection of head posture during sleep S Akbarian, K Zhu, N Montazeri, G Delfi, A Yadollahi, B Taati Sleep Medicine 64, S6-S7, 2019 | | 2019 |
| Wen-Sheng Chu, Google, USA Enric Corona, IRI, Spain Nicholas Cummins, University of Augsburg, Germany Adam Czajka, University of Notre Dame, USA Naser Damer, Fraunhofer IGD … A Agarwal, S Akbarian, G Anbarjafari, O Aran, A Asgarian, V Athitsos, ... | | |
Babak TaatiKITE Research Institute |Toronto Rehab - UHN & Department of Computer Science, University of TorontoVerified email at uhn.ca
