연구성과로 돌아가기
2021 연구성과별 연구자 정보 (895 / 2991)
※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| 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 | Puthanakit, Thanyawee | Puthanakit, T | 91 | King Chulalongkorn Mem Hosp, Thai Red Cross Emerging Infect Dis Clin Ctr, Bangkok, Thailand | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Mazzulli, Tony | Mazzulli, T | 92 | Univ Hlth Network, Dept Microbiol, Sinai Hlth, Toronto, ON, Canada | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Mazzulli, Tony | Mazzulli, T | 92 | Univ Toronto, Dept Lab Med & Pathobiol, Toronto, ON, Canada | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Mazzulli, Tony | Mazzulli, T | 92 | Publ Hlth Ontario Labs, Toronto, ON, Canada | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | de Lavor, Vitor Lima | de Lavor, VL | 93 | DasaInova, Diagnost Amer SA, Barueri, Brazil | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Rakvongthai, Yothin | Rakvongthai, Y | 94 | Chulalongkorn Univ, Biomed Imaging Grp, Fac Med, Bangkok, Thailand | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Rakvongthai, Yothin | Rakvongthai, Y | 94 | Chulalongkorn Univ, Fac Med, Dept Radiol, Div Nucl Med, Bangkok, Thailand | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Lee, Yu Rim | Lee, YR | 95 | Kyungpook Natl Univ, Sch Med, Dept Internal Med, Daegu, South Korea | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Wen, Yuhong | Wen, Y | 96 | NVIDIA, Santa Clara, CA 95051 USA | mflores@nvidia.com; | |||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Gilbert, Fiona J. | Gilbert, FJ | 97 | Univ Cambridge, NIHR Cambridge Biomed Resource Ctr, Dept Radiol, Cambridge, England | 0000-0002-0124-9962 | Gilbert, Fiona | mflores@nvidia.com; | |||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Flores, Mona G. | Flores, MG | 98 | 교신저자 | NVIDIA, Santa Clara, CA 95051 USA | mflores@nvidia.com; | ||||
| Federated learning for predicting clinical outcomes in patients with COVID-19 | Li, Quanzheng | Li, QZ | 99 | Harvard Med Sch, Massachusetts Gen Hosp, Dept Radiol, Ctr Adv Med Comp & Anal, Boston, MA 02115 USA | mflores@nvidia.com; | |||||
| Feeding strategies with total mixed ration and concentrate may improve feed intake and carcass quality of Hanwoo steers | Lee, Soohyung | Lee, SH | 1 | Kyungpook Natl Univ, Dept Anim Sci, Sangju 37224, South Korea | ejkim2011@knu.ac.kr; | |||||
| Feeding strategies with total mixed ration and concentrate may improve feed intake and carcass quality of Hanwoo steers | Lee, Sang Moo | Lee, SM | 2 | Kyungpook Natl Univ, Dept Anim Sci, Sangju 37224, South Korea | 0000-0003-2510-2591 | lee, sang moo | ejkim2011@knu.ac.kr; | |||
| Feeding strategies with total mixed ration and concentrate may improve feed intake and carcass quality of Hanwoo steers | Lee, Jaehun | Lee, JH | 3 | Kyungpook Natl Univ, Dept Anim Sci, Sangju 37224, South Korea | ejkim2011@knu.ac.kr; |
페이지 이동: