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2023 연구성과별 연구자 정보 (580 / 2675)

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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
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Da Nam, Bo Da Nam, B 8 Soonchunhyang Univ, Soonchunhyang Univ Seoul Hosp, Coll Med, Dept Radiol, Seoul, South Korea 0000-0001-7822-6104 Nam, Bo Da wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Chae, Kum Ju Chae, KJ 9 Jeonbuk Natl Univ, Res Inst Clin Med, Dept Radiol, Biomed Res Inst,Jeonbuk Natl Univ Hosp, Jeonju, South Korea 0000-0003-3012-3530 Chae, Kum Ju wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Lee, Dabee Lee, DB 10 Dankook Univ Hosp, Dept Radiol, Cheonan, South Korea 0000-0003-2070-2766 Lee, Dabee wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Yoo, Jin Young Yoo, JY 11 Chungbuk Natl Univ Hosp, Dept Radiol, Cheongju, South Korea AAG-6414-2019 Yoo, Jin wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Bak, So Hyeon Bak, SH 12 Kangwon Natl Univ, Kangwon Natl Univ Hosp, Dept Radiol, Sch Med, Chunchon, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Kim, Jin Young Kim, JY 13 Keimyung Univ, Dongsan Hosp, Dept Radiol, Sch Med, Daegu, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Kim, Jin Hwan Kim, JH 14 Chungnam Natl Univ Hosp, Coll Med, Dept Radiol, Daejeon, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Kim, Ki Beom Kim, KB 15 Daegu Fatima Hosp, Dept Radiol, Daegu, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Jung, Jung Im Jung, JI 16 Catholic Univ Korea, Seoul St Marys Hosp, Coll Med, Dept Radiol, Seoul, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Lim, Jae-Kwang Lim, JK 17 Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Sch Med, Dept Radiol, Daegu, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Lee, Jong Eun Lee, JE 18 Chonnam Natl Univ Hosp, Dept Radiol, Gwangju, South Korea L-6826-2019 Lee, Jung-Seok wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Chung, Myung Jin Chung, MJ 19 Sungkyunkwan Univ, Sch Med, Samsung Med Ctr, Dept Radiol, Seoul, South Korea C-1876-2011 Chung, Myung wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Lee, Young Kyung Lee, YK 20 Seoul Med Ctr, Dept Radiol, Seoul, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Kim, Young Seon Kim, YS 21 Yeungnam Univ, Yeungnam Univ Hosp, Dept Radiol, Coll Med, Daegu, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Lee, Sang Min Lee, SM 22 Univ Ulsan, Coll Med, Asan Med Ctr, Dept Radiol, Seoul, South Korea wlsrhkdska@gmail.com;
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