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2021 연구성과별 연구자 정보 (894 / 2991)

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Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Federated learning for predicting clinical outcomes in patients with COVID-19 Gangai, Natalie Gangai, N 81 Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Vateekul, Peerapon Vateekul, P 82 Chulalongkorn Univ, Fac Engn, Dept Comp Engn, Bangkok, Thailand AAW-6065-2021 Vateekul, Peerapon mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Elnajjar, Pierre Elnajjar, P 83 Mem Sloan Kettering Canc Ctr, 1275 York Ave, New York, NY 10021 USA mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Hickman, Sarah Hickman, S 84 Univ Cambridge, NIHR Cambridge Biomed Resource Ctr, Dept Radiol, Cambridge, England KBR-2557-2024 Hickman, Sarah 0000-0002-4637-7300 Hickman, Sarah mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Majumdar, Sharmila Majumdar, S 85 Univ Calif San Francisco, Ctr Intelligent Imaging, Dept Radiol & Biomed Imaging, San Francisco, CA 94143 USA mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 McLeod, Shelley L. McLeod, SL 86 Sinai Hlth, Schwartz Reisman Emergency Med Inst, Toronto, ON, Canada AAE-9636-2019 McLeod, Shelley 0000-0003-2686-6307 McLeod, Shelley mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 McLeod, Shelley L. McLeod, SL 86 Univ Toronto, Dept Family & Community Med, Toronto, ON, Canada AAE-9636-2019 McLeod, Shelley 0000-0003-2686-6307 McLeod, Shelley mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Reed, Sheridan Reed, S 87 NIH, Radiol & Imaging Sci Clin Ctr, Bldg 10, Bethesda, MD 20892 USA mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Reed, Sheridan Reed, S 87 NCI, NIH, Bethesda, MD 20892 USA mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Graf, Stefan Gräf, S 88 Univ Cambridge, NIHR Cambridge Biomed Res Ctr, Dept Med, Cambridge, England mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Graf, Stefan Gräf, S 88 Univ Cambridge, NIHR Cambridge Biomed Res Ctr, NIHR BioResource Translat Res, Cambridge, England mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Harmon, Stephanie Harmon, S 89 NCI, NIH, Bethesda, MD 20892 USA mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Harmon, Stephanie Harmon, S 89 NCI, Clin Res Directorate, Frederick Natl Lab Canc, Frederick, MD 21701 USA mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Kodama, Tatsuya Kodama, T 90 Self Def Forces Cent Hosp, Tokyo, Japan mflores@nvidia.com;
Federated learning for predicting clinical outcomes in patients with COVID-19 Puthanakit, Thanyawee Puthanakit, T 91 Chulalongkorn Univ, Fac Med, Dept Pediat, Bangkok, Thailand mflores@nvidia.com;
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