Follow
Sina Akbarian
Sina Akbarian
Researcher at Vector Institute, Data Scientist at Public Health Ontario
Verified email at mail.utoronto.ca - Homepage
Title
Cited by
Cited by
Year
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
322019
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
312019
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
242020
Evaluating knowledge transfer in the neural network for medical images
S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi
IEEE Access, 2023
162023
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
102021
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
7*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
62022
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
52020
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
22022
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
12023
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
12019
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, ...
The system can't perform the operation now. Try again later.
Articles 1–16