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2023 연구성과별 연구자 정보 (142 / 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| A Study on the Advancement of Spatial Maps and the Improvement of the Legal System as a Key Tool for Sustainable National Landscape Planning: Case Study of South Korea | Kim, Jin-Hyo | Kim, JH | 2 | 교신저자 | Kyungpook Natl Univ, Dept Landscape Architecture, Daegu 41566, South Korea | hjcho@daegu.ac.kr;jhkim85@knu.ac.kr;wildlife@dsi.re.kr; | ||||
| A Study on the Advancement of Spatial Maps and the Improvement of the Legal System as a Key Tool for Sustainable National Landscape Planning: Case Study of South Korea | Lee, Eun-Jae | Lee, EJ | 3 | Daejeon Sejong Res Inst, Dept Spatial Environm Lab, Daejeon 34051, South Korea | hjcho@daegu.ac.kr;jhkim85@knu.ac.kr;wildlife@dsi.re.kr; | |||||
| A study on the clinical association of sarcopenia in patients with myasthenia gravis | Seok, Hung Youl | Seok, HY | 1 | Keimyung Univ, Dongsan Hosp, Sch Med, Dept Neurol, Daegu, South Korea | HZI-4365-2023 | Seok, Hung Youl | 0000-0002-9938-5355 | Seok, Hung Youl | ||
| A study on the clinical association of sarcopenia in patients with myasthenia gravis | Eun, Mi-Yeon | Eun, MY | 2 | Kyungpook Natl Univ, Chilgok Hosp, Dept Neurol, Daegu, South Korea | AAV-2877-2021 | Eun, Mi-Yeon | ||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Yun, Changhee | Yun, CH | 1 | Natl Informat Soc Agcy, Daegu 41068, South Korea | jaeilkim@knu.ac.kr; | |||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Eom, Bomi | Eom, B | 2 | Natl Informat Soc Agcy, Daegu 41068, South Korea | jaeilkim@knu.ac.kr; | |||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Park, Sungjun | Park, S | 3 | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | jaeilkim@knu.ac.kr; | |||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Kim, Chanho | Kim, C | 4 | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | jaeilkim@knu.ac.kr; | |||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Kim, Dohwan | Kim, D | 5 | Kyungpook Natl Univ, Dept Artificial Intelligence, Daegu 41566, South Korea | 0000-0002-5281-6306 | Kim, Dohwan | jaeilkim@knu.ac.kr; | |||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Jabeen, Farah | Jabeen, F | 6 | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | jaeilkim@knu.ac.kr; | |||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Kim, Won Hwa | Kim, WH | 7 | Kyungpook Natl Univ, Kyungpook Natl Univ Chilgok Hosp, Dept Radiol, Daegu 41404, South Korea | jaeilkim@knu.ac.kr; | |||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Kim, Hye Jung | Kim, HJ | 8 | Kyungpook Natl Univ, Kyungpook Natl Univ Chilgok Hosp, Dept Radiol, Daegu 41404, South Korea | jaeilkim@knu.ac.kr; | |||||
| A Study on the Effectiveness of Deep Learning-Based Anomaly Detection Methods for Breast Ultrasonography | Kim, Jaeil | Kim, J | 9 | 교신저자 | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | 0000-0002-9799-1773 | Kim, Jaeil | jaeilkim@knu.ac.kr; | ||
| A study on the intertextuality of Russian media | Kim, Na-young | Kim, NY | 1 | 교신저자 | Kyungpook Natl Univ, Dept Russian Language & Literature, 80 Daehak Ro, Daegu, South Korea | KHU-6533-2024 | Kim, Na-young | 0000-0002-2285-7369 | Kim, Na-young | anastasha1368@gmail.com; |
| A Study on the Precipitation Mechanism of Quartz Veins from Sangdong Deposit by Analyses of Vein Texture and Trace Element in Quartz | Lee, Youseong | Lee, Y | 1 | Kyungpook Natl Univ, Dept Geol, Daegu 41566, South Korea | changyun.park@knu.ac.kr; |
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