연구성과로 돌아가기
2021 연구성과별 연구자 정보 (1343 / 2991)
※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
| Document Title | Author Full Name | Author Short Name | Index | Corresponding | Address | ResearcherID | ResearcherID Author Name | ORCID | ORCID Author Name | Related Email |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Lee, Sang-Eok | Lee, SE | 3 | Pohang Stroke & Spine Hosp, Dept Rehabil Med, Pohang, South Korea | medipia@gmail.com; | |||||
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Kim, Dong Young | Kim, DY | 4 | Pohang Stroke & Spine Hosp, Dept Orthoped Surg, Pohang, South Korea | medipia@gmail.com; | |||||
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Kim, Mansu | Kim, M | 5 | Pohang Stroke & Spine Hosp, Dept Neurosurg, Pohang, South Korea | medipia@gmail.com; | |||||
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Kwon, Heum Dai | Kwon, HD | 6 | Pohang Stroke & Spine Hosp, Dept Neurosurg, Pohang, South Korea | medipia@gmail.com; | |||||
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Kim, Mun-Chul | Kim, MC | 7 | Pohang Stroke & Spine Hosp, Dept Neurosurg, Pohang, South Korea | medipia@gmail.com; | |||||
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Kim, Ae Ryoung | Kim, AR | 8 | Kyungpook Natl Univ, Kyungpook Natl Univ Hosp, Dept Rehabil Med, Sch Med, Daegu, South Korea | medipia@gmail.com; | |||||
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Kim, Hyoung Seop | Kim, HS | 9 | Natl Hlth Insurance Serv Ilsan Hosp, Dept Phys Med & Rehabil, Goyang, South Korea | medipia@gmail.com; | |||||
| Machine learning-based approach for disease severity classification of carpal tunnel syndrome | Lee, Jang Woo | Lee, JW | 10 | 교신저자 | Natl Hlth Insurance Serv Ilsan Hosp, Dept Phys Med & Rehabil, Goyang, South Korea | N-9064-2013 | Lee, Jaewon | medipia@gmail.com; | ||
| Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data | Lee, Jong Taek | Lee, JT | 1 | Elect & Telecommun Res Inst ETRI, Artificial Intelligence Applicat Res Sect, Daegu 42994, South Korea | 0000-0002-6962-3148 | Lee, Jong Taek | jongtaeklee@etri.re.kr;ehmdpark@knu.ac.kr;teeed0522@hanmail.net; | |||
| Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data | Park, Eunhee | Park, E | 2 | Kyungpook Natl Univ, Sch Med, Dept Rehabil Med, Daegu 41944, South Korea | jongtaeklee@etri.re.kr;ehmdpark@knu.ac.kr;teeed0522@hanmail.net; | |||||
| Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data | Park, Eunhee | Park, E | 2 | Kyungpook Natl Univ, Dept Rehabil Med, Chilgok Hosp, Daegu 41404, South Korea | jongtaeklee@etri.re.kr;ehmdpark@knu.ac.kr;teeed0522@hanmail.net; | |||||
| Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data | Jung, Tae-Du | Jung, TD | 3 | 교신저자 | Kyungpook Natl Univ, Sch Med, Dept Rehabil Med, Daegu 41944, South Korea | 0000-0002-1636-8665 | Jung, Tae-du | jongtaeklee@etri.re.kr;ehmdpark@knu.ac.kr;teeed0522@hanmail.net; | ||
| Machine Learning-Based Classification of Dependence in Ambulation in Stroke Patients Using Smartphone Video Data | Jung, Tae-Du | Jung, TD | 3 | 교신저자 | Kyungpook Natl Univ, Dept Rehabil Med, Chilgok Hosp, Daegu 41404, South Korea | 0000-0002-1636-8665 | Jung, Tae-du | jongtaeklee@etri.re.kr;ehmdpark@knu.ac.kr;teeed0522@hanmail.net; | ||
| Machine tool analyzer: a device for identifying 13 position-independent geometric errors for five-axis machine tools | Yang, Seung-Han | Yang, SH | 1 | Kyungpook Natl Univ, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea | kilee@kiu.kr; | |||||
| Machine tool analyzer: a device for identifying 13 position-independent geometric errors for five-axis machine tools | Lee, Kwang-Il | Lee, KI | 2 | 교신저자 | Kyungil Univ, Sch Mech & Automot Engn, 50 Gamasil Gil, Gyongsan 38428, Gyeongbuk, South Korea | 0000-0003-0093-2783 | LEE, Kwang-Il | kilee@kiu.kr; |
페이지 이동: