受强制性开放获取政策约束的文章 - Ittai Dayan了解详情
可在其他位置公开访问的文章：5 篇
Federated learning for predicting clinical outcomes in patients with COVID-19
I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ...
Nature medicine 27 (10), 1735-1743, 2021
强制性开放获取政策： US National Institutes of Health, Cancer Research UK, UK Engineering and …
Federated learning for breast density classification: A real-world implementation
HR Roth, K Chang, P Singh, N Neumark, W Li, V Gupta, S Gupta, L Qu, ...
Domain Adaptation and Representation Transfer, and Distributed and …, 2020
强制性开放获取政策： US National Science Foundation, US National Institutes of Health
Severity and consolidation quantification of COVID-19 from CT images using deep learning based on hybrid weak labels
D Wu, K Gong, CD Arru, F Homayounieh, B Bizzo, V Buch, H Ren, K Kim, ...
IEEE Journal of Biomedical and Health Informatics 24 (12), 3529-3538, 2020
强制性开放获取政策： US National Institutes of Health
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records
K Gong, D Wu, CD Arru, F Homayounieh, N Neumark, J Guan, V Buch, ...
European journal of radiology 139, 109583, 2021
强制性开放获取政策： US National Institutes of Health
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19
MD Li, NT Arun, M Aggarwal, S Gupta, P Singh, BP Little, DP Mendoza, ...
Medicine 101 (29), e29587, 2022
强制性开放获取政策： US National Institutes of Health
出版信息和资助信息由计算机程序自动确定