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Sara Mahvash Mohammadi

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Classification of awake, REM, and NREM from EEG via singular spectrum analysisSara Mahvash Mohammadi, Shirin Enshaeifar, Mohammad Ghavami, et al.
Journal of Neuroscience Methods|August 17, 2016
Improving time-frequency domain sleep EEG classification via singular spectrum analysisSara Mahvash Mohammadi, Samaneh Kouchaki, Mohammad Ghavami, et al.
Cancers|June 19, 2024
Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO): A Global Gynaecological Oncology Surgical Outcomes Collaborative Led StudyFaiza Gaba, Sara Mahvash Mohammadi, Mikhail I Krivonosov, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 30, 2020
Transfer Learning for Clinical Sleep Pose Detection Using a Single 2D IR CameraSara Mahvash Mohammadi, Shirin Enshaeifar, Adrian Hilton, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Two-Step Deep Learning for Estimating Human Sleep Pose Occluded by Bed CoversSara Mahvash Mohammadi, Samaneh Kouchaki, Sofia Khan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Sleep Posture Classification using a Convolutional Neural NetworkSara Mahvash Mohammadi, Majdi Alnowami, Sofia Khan, et al.
Clocks & Sleep|March 27, 2024
A Protocol for Evaluating Digital Technology for Monitoring Sleep and Circadian Rhythms in Older People and People Living with Dementia in the CommunityCiro Della Monica, Kiran K G Ravindran, Giuseppe Atzori, et al.
Cancers|February 26, 2025
Post-COVID-19 Condition Prediction in Hospitalised Cancer Patients: A Machine Learning-Based ApproachSara Mahvash Mohammadi, Mikhail Rumyantsev, Elina Abdeeva, et al.
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Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Classification of awake, REM, and NREM from EEG via singular spectrum analysisSara Mahvash Mohammadi, Shirin Enshaeifar, Mohammad Ghavami, et al.
Journal of Neuroscience Methods|August 17, 2016
Improving time-frequency domain sleep EEG classification via singular spectrum analysisSara Mahvash Mohammadi, Samaneh Kouchaki, Mohammad Ghavami, et al.
Cancers|June 19, 2024
Predicting Risk of Post-Operative Morbidity and Mortality following Gynaecological Oncology Surgery (PROMEGO): A Global Gynaecological Oncology Surgical Outcomes Collaborative Led StudyFaiza Gaba, Sara Mahvash Mohammadi, Mikhail I Krivonosov, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|December 30, 2020
Transfer Learning for Clinical Sleep Pose Detection Using a Single 2D IR CameraSara Mahvash Mohammadi, Shirin Enshaeifar, Adrian Hilton, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Two-Step Deep Learning for Estimating Human Sleep Pose Occluded by Bed CoversSara Mahvash Mohammadi, Samaneh Kouchaki, Sofia Khan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 17, 2018
Sleep Posture Classification using a Convolutional Neural NetworkSara Mahvash Mohammadi, Majdi Alnowami, Sofia Khan, et al.
Clocks & Sleep|March 27, 2024
A Protocol for Evaluating Digital Technology for Monitoring Sleep and Circadian Rhythms in Older People and People Living with Dementia in the CommunityCiro Della Monica, Kiran K G Ravindran, Giuseppe Atzori, et al.
Cancers|February 26, 2025
Post-COVID-19 Condition Prediction in Hospitalised Cancer Patients: A Machine Learning-Based ApproachSara Mahvash Mohammadi, Mikhail Rumyantsev, Elina Abdeeva, et al.
Pageof 1