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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 Kim, Hyungjin Kim, H 3 Seoul Natl Univ, Coll Med, Seoul, South Korea JED-7172-2023 Kim, Hyungjin 0000-0003-0722-0033 Kim, Hyungjin wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Kim, Hyungjin Kim, H 3 Seoul Natl Univ, Dept Radiol, Med Res Ctr, Seoul, South Korea JED-7172-2023 Kim, Hyungjin 0000-0003-0722-0033 Kim, Hyungjin wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Kim, Ue-Hwan Kim, UH 4 Gwangju Inst Sci & Technol, AI Grad Sch, Gwangju, South Korea 0000-0003-2201-2988 Kim, Ue-Hwan wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Kim, Dong Hyun Kim, DH 5 Seoul Natl Univ, Coll Med, Seoul, South Korea 0000-0002-3871-7002 Kim, Dong Hyun wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Kim, Dong Hyun Kim, DH 5 Seoul Natl Univ, Dept Radiol, Seoul Metropolitan Govt, Boramae Med Ctr, Seoul, South Korea 0000-0002-3871-7002 Kim, Dong Hyun wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Yoon, Soon Ho Yoon, SH 6 Seoul Natl Univ, Coll Med, Seoul, South Korea AAL-1640-2020 Yoon, Soon 0000-0002-3700-0165 Yoon, Soon Ho wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Yoon, Soon Ho Yoon, SH 6 Seoul Natl Univ, Dept Radiol, Med Res Ctr, Seoul, South Korea AAL-1640-2020 Yoon, Soon 0000-0002-3700-0165 Yoon, Soon Ho wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Ham, Soo-Youn Ham, SY 7 Kangbuk Samsung Hosp, Dept Radiol, Seoul, South Korea 0000-0002-5333-9839 Ham, Soo-Youn wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Nam, Bo Da Nam, BD 8 Soonchunhyang Univ, Coll Med, Dept Radiol, Seoul Hosp, Seoul, South Korea MSX-2031-2025 Nam, Boda 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 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 Lee, Dabee Lee, D 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 Yoo, Jin Young Yoo, JY 11 Chungbuk Natl Univ Hosp, Dept Radiol, Cheongju, South Korea AAG-6414-2019 Yoo, Jin 0000-0003-0007-1960 Yoo, Jin Young wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study 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 Kim, Jin Young Kim, JY 13 Keimyung Univ, Sch Med, Dept Radiol, Dongsan Hosp, Daegu, South Korea AAB-6510-2020 Kim, Jin Young wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Kim, Jin Hwan Kim, JH 14 Chungnam Natl Univ Hosp, Coll Med, Dept Radiol, Daejeon, South Korea wlsrhkdska@gmail.com;
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