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2023 연구성과별 연구자 정보 (261 / 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Liu, Hai-Yan | Liu, HY | 1 | Shanxi Med Univ, Dept Neurol, Hosp 1, Taiyuan 030001, Peoples R China | ABC-6817-2020 | Liu, Haiyan | libing-1975@163.com; | |||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Bai, Zi-Yang | Bai, ZY | 2 | Shanxi Med Univ, Sch Dent, Dept Prosthodont, Taiyuan 030001, Peoples R China | MGA-5664-2025 | Bai, Ziyang | libing-1975@163.com; | |||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Jing, Wang | Jing, W | 3 | Shanxi Med Univ, Sch Dent, Dept Prosthodont, Taiyuan 030001, Peoples R China | libing-1975@163.com; | |||||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Yang, Xiao-Fang | Yang, XF | 4 | Shanxi Med Univ, Sch Dent, Dept Prosthodont, Taiyuan 030001, Peoples R China | K-4388-2012 | Yang, Xiaofang | libing-1975@163.com; | |||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Kwon, Tae-Geon | Kwon, TG | 5 | Kyungpook Natl Univ, Sch Dent, Daegu, South Korea | libing-1975@163.com; | |||||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Yun, Ke-Ming | Yun, KM | 6 | Shanxi Med Univ, Sch Forens Med, Taiyuan 030001, Peoples R China | libing-1975@163.com; | |||||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Wu, Xiu-Ping | Wu, XP | 7 | 교신저자 | Shanxi Med Univ, Sch Dent, Dept Prosthodont, Taiyuan 030001, Peoples R China | libing-1975@163.com; | ||||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Wu, Xiu-Ping | Wu, XP | 7 | 교신저자 | Shanxi Med Univ, Stomatol Hosp, 63 Xinjian Rd, Taiyuan 030001, Peoples R China | libing-1975@163.com; | ||||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Bing, Li | Bing, L | 8 | 교신저자 | Shanxi Med Univ, Sch Dent, Dept Prosthodont, Taiyuan 030001, Peoples R China | CAF-7418-2022 | Li, Bing | libing-1975@163.com; | ||
| Application of Sphenoid Sinus Morphological Characteristics in Sex Estimation Based on Magnetic Resonance Imaging Images | Bing, Li | Bing, L | 8 | 교신저자 | Shanxi Med Univ, Stomatol Hosp, 63 Xinjian Rd, Taiyuan 030001, Peoples R China | CAF-7418-2022 | Li, Bing | libing-1975@163.com; | ||
| Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database | Jang, Min-Gyo | Jang, MG | 1 | Kyungpook Natl Univ, Res Inst Pharmaceut Sci, Coll Pharm, Daegu, South Korea | kshin@knu.ac.kr; | |||||
| Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database | Cha, SangHun | Cha, SH | 2 | Kyungpook Natl Univ, Coll Nat Sci, Dept Stat, Daegu, South Korea | kshin@knu.ac.kr; | |||||
| Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database | Kim, Seunghwak | Kim, S | 3 | Kyungpook Natl Univ, Coll Nat Sci, Dept Stat, Daegu, South Korea | kshin@knu.ac.kr; | |||||
| Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database | Lee, Sojung | Lee, SJ | 4 | Kyungpook Natl Univ, Coll Nat Sci, Dept Stat, Daegu, South Korea | kshin@knu.ac.kr; | |||||
| Application of tree-based machine learning classification methods to detect signals of fluoroquinolones using the Korea Adverse Event Reporting System (KAERS) database | Lee, Kyeong Eun | Lee, KE | 5 | Kyungpook Natl Univ, Coll Nat Sci, Dept Stat, Daegu, South Korea | kshin@knu.ac.kr; |
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