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Ittai Dayan

Showing results (1-10 of 12) with videos related to

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Future Healthcare Journal|April 4, 2022
Key considerations for the use of artificial intelligence in healthcare and clinical researchChristopher A Lovejoy, Anmol Arora, Varun Buch, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 14, 2024
CAFES: Chest X-ray Analysis using Federated Self-supervised Learning for Pediatric COVID-19 DetectionAbhijeet Parida, Syed Muhammad Anwar, Malhar P Patel, et al.
Health Informatics Journal|October 21, 2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomesMalhar Patel, Ittai Dayan, Elliot K Fishman, et al.
Scientific Reports|January 14, 2021
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort studyShadi Ebrahimian, Fatemeh Homayounieh, Marcio A B C Rockenbach, et al.
Medicine|July 22, 2022
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19Matthew D Li, Nishanth T Arun, Mehak Aggarwal, et al.
Medrxiv : the Preprint Server for Health Sciences|September 30, 2020
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19Matthew D Li, Nishanth T Arun, Mehak Aggarwal, et al.
Medical Image Analysis|March 12, 2021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19Aoxiao Zhong, Xiang Li, Dufan Wu, et al.
Frontiers in Digital Health|July 2, 2026
Selecting medical research data platforms for translational biomedical research: a five-tier overview and requirement-weighted assessment frameworkMarc Jacobs, Samad Goudarzi, Jan Stücke, et al.
IEEE Journal of Biomedical and Health Informatics|October 12, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak LabelsDufan Wu, Kuang Gong, Chiara Daniela Arru, et al.
European Journal of Radiology|April 13, 2021
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health recordsKuang Gong, Dufan Wu, Chiara Daniela Arru, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Future Healthcare Journal|April 4, 2022
Key considerations for the use of artificial intelligence in healthcare and clinical researchChristopher A Lovejoy, Anmol Arora, Varun Buch, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 14, 2024
CAFES: Chest X-ray Analysis using Federated Self-supervised Learning for Pediatric COVID-19 DetectionAbhijeet Parida, Syed Muhammad Anwar, Malhar P Patel, et al.
Health Informatics Journal|October 21, 2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomesMalhar Patel, Ittai Dayan, Elliot K Fishman, et al.
Scientific Reports|January 14, 2021
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort studyShadi Ebrahimian, Fatemeh Homayounieh, Marcio A B C Rockenbach, et al.
Medicine|July 22, 2022
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19Matthew D Li, Nishanth T Arun, Mehak Aggarwal, et al.
Medrxiv : the Preprint Server for Health Sciences|September 30, 2020
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19Matthew D Li, Nishanth T Arun, Mehak Aggarwal, et al.
Medical Image Analysis|March 12, 2021
Deep metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19Aoxiao Zhong, Xiang Li, Dufan Wu, et al.
Frontiers in Digital Health|July 2, 2026
Selecting medical research data platforms for translational biomedical research: a five-tier overview and requirement-weighted assessment frameworkMarc Jacobs, Samad Goudarzi, Jan Stücke, et al.
IEEE Journal of Biomedical and Health Informatics|October 12, 2020
Severity and Consolidation Quantification of COVID-19 From CT Images Using Deep Learning Based on Hybrid Weak LabelsDufan Wu, Kuang Gong, Chiara Daniela Arru, et al.
European Journal of Radiology|April 13, 2021
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health recordsKuang Gong, Dufan Wu, Chiara Daniela Arru, et al.
Pageof 2