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Sina Akbarian
Sina Akbarian
Researcher at Vector Institute, Data Scientist at Public Health Ontario
Zweryfikowany adres z mail.utoronto.ca - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
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
432019
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
392019
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
292020
Evaluating knowledge transfer in the neural network for medical images
S Akbarian, L Seyyed-Kalantari, F Khalvati, E Dolatabadi
IEEE Access, 2023
212023
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
202022
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
172021
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
14*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
82020
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
22023
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
Transitioning sleeping position detection in late pregnancy using computer vision from controlled to real-world settings: an observational study
AJ Kember, H Zia, P Elangainesan, ME Hsieh, R Adijeh, I Li, L Ritchie, ...
Scientific Reports 14 (1), 17380, 2024
12024
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
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
12019
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, ...
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