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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, 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 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 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 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 Chung, Myung Jin Chung, MJ 19 Sungkyunkwan Univ, Samsung Med Ctr, Dept Radiol, Sch Med, 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 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 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 Lee, Sang Min Lee, SM 22 Univ Ulsan, Coll Med, Asan 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 Lee, Sang Min Lee, SM 22 Univ Ulsan, Res Inst Radiol, Asan Med Ctr, Coll Med, Seoul, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Kwon, Woocheol Kwon, W 23 Ewha Womans Univ, Dept Radiol, Seoul Hosp, Seoul, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Park, Chang Min Park, CM 24 Seoul Natl Univ, Coll Med, Seoul, South Korea J-8409-2016 Park, Chang wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Park, Chang Min Park, CM 24 Seoul Natl Univ, Dept Radiol, Med Res Ctr, Seoul, South Korea J-8409-2016 Park, Chang wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Kim, Yun-Hyeon Kim, YH 25 Chonnam Natl Univ Hosp, Dept Radiol, Gwangju, South Korea KFS-3069-2024 Kim, Juhee wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Jeong, Yeon Joo Jeong, YJ 26 Pusan Natl Univ, Pusan Natl Univ Hosp, Dept Radiol, Sch Med, Busan, South Korea wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Jeong, Yeon Joo Jeong, YJ 26 Biomed Res Inst, Busan, South Korea wlsrhkdska@gmail.com;
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