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2023 연구성과별 연구자 정보 (581 / 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) 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 (vol 25, e42717, 2023) Kwon, Woocheol Kwon, W 23 Ewha Womans Univ Seoul Hosp, 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) 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 (vol 25, e42717, 2023) 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 (vol 25, e42717, 2023) Kim, Yun-Hyeon Kim, YH 25 KFS-3069-2024 Kim, Juhee wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Jeong, Yeon Joo Jeong, YJ 26 Pusan Natl Univ, Pusan Natl Univ Hosp, Sch Med, Dept Radiol, Busan, 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) Jeong, Yeon Joo Jeong, YJ 26 Biomed Res Inst, Busan, 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) Jin, Kwang Nam Jin, KN 27 교신저자 Seoul Natl Univ, Coll Med, 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) Jin, Kwang Nam Jin, KN 27 교신저자 Seoul Natl Univ, Boramae Med Ctr, Dept Radiol, Seoul Metropolitan Govt, 20,Boramae Ro 5 Gil, Seoul 07061, 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) Goo, Jin Mo Goo, JM 28 Seoul Natl Univ, Coll Med, Seoul, South Korea AFT-4543-2022 Goo, Jin Mo wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study (vol 25, e42717, 2023) Goo, Jin Mo Goo, JM 28 Seoul Natl Univ, Dept Radiol, Med Res Ctr, Seoul, South Korea AFT-4543-2022 Goo, Jin Mo wlsrhkdska@gmail.com;
Deep Learning-based Anomaly Detection in Radar Data with Radar-Camera Fusion Ning, Dian Ning, D 1 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea IRZ-7360-2023 Ning, Daoguan ningdian@knu.ac.kr;dshan@knu.ac.kr;
Deep Learning-based Anomaly Detection in Radar Data with Radar-Camera Fusion Han, Dong Seog Han, DS 2 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea ningdian@knu.ac.kr;dshan@knu.ac.kr;
Deep learning-based channel quality indicators prediction for vehicular communication Kim, Jihun Kim, J 1 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea 0000-0002-9076-3639 Kim, Jihun dshan@knu.ac.kr;
Deep learning-based channel quality indicators prediction for vehicular communication Han, Dong Seog Han, DS 2 교신저자 Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea dshan@knu.ac.kr;
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