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Assaf Schuster

Showing results (1-10 of 7) with videos related to

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IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 29, 2004
Association rule mining in peer-to-peer systemsRan Wolff, Assaf Schuster
Frontiers in Physiology|March 8, 2021
Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation EventsNoam Keidar, Yonatan Elul, Assaf Schuster, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Full body gait analysis with KinectMoshe Gabel, Ran Gilad-Bachrach, Erin Renshaw, et al.
Scientific Reports|August 28, 2023
Using domain adaptation for classification of healthy and disease conditions from mobile-captured images of standard 12-lead electrocardiogramsVadim Gliner, Vladimir Makarov, Arutyun I Avetisyan, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 8, 2021
Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysisYonatan Elul, Aviv A Rosenberg, Assaf Schuster, et al.
Scientific Reports|October 2, 2020
Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiogramsVadim Gliner, Noam Keidar, Vladimir Makarov, et al.
NPJ Digital Medicine|February 17, 2025
Clinically meaningful interpretability of an AI model for ECG classificationVadim Gliner, Idan Levy, Kenta Tsutsui, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics : a Publication of the IEEE Systems, Man, and Cybernetics Society|December 29, 2004
Association rule mining in peer-to-peer systemsRan Wolff, Assaf Schuster
Frontiers in Physiology|March 8, 2021
Visualizing and Quantifying Irregular Heart Rate Irregularities to Identify Atrial Fibrillation EventsNoam Keidar, Yonatan Elul, Assaf Schuster, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Full body gait analysis with KinectMoshe Gabel, Ran Gilad-Bachrach, Erin Renshaw, et al.
Scientific Reports|August 28, 2023
Using domain adaptation for classification of healthy and disease conditions from mobile-captured images of standard 12-lead electrocardiogramsVadim Gliner, Vladimir Makarov, Arutyun I Avetisyan, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 8, 2021
Meeting the unmet needs of clinicians from AI systems showcased for cardiology with deep-learning-based ECG analysisYonatan Elul, Aviv A Rosenberg, Assaf Schuster, et al.
Scientific Reports|October 2, 2020
Automatic classification of healthy and disease conditions from images or digital standard 12-lead electrocardiogramsVadim Gliner, Noam Keidar, Vladimir Makarov, et al.
NPJ Digital Medicine|February 17, 2025
Clinically meaningful interpretability of an AI model for ECG classificationVadim Gliner, Idan Levy, Kenta Tsutsui, et al.
Pageof 1