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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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Lee, Jong Taek | Lee, JT | 1 | Elect & Telecommun Res Inst ETRI, Artificial Intelligence Applicat Res Sect, Daegu, South Korea | 0000-0002-6962-3148 | Lee, Jong Taek | teeed0522@hanmail.net;bdome@hanmail.net; | |||
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Park, Eunhee | Park, E | 2 | Kyungpook Natl Univ, Sch Med, Dept Rehabil Med, 807 Hoguk Ro, Daegu 41404, South Korea | teeed0522@hanmail.net;bdome@hanmail.net; | |||||
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Park, Eunhee | Park, E | 2 | Kyungpook Natl Univ Hosp, Dept Rehabil Med, Daegu, South Korea | teeed0522@hanmail.net;bdome@hanmail.net; | |||||
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Hwang, Jong-Moon | Hwang, JM | 3 | Kyungpook Natl Univ, Sch Med, Dept Rehabil Med, 807 Hoguk Ro, Daegu 41404, South Korea | teeed0522@hanmail.net;bdome@hanmail.net; | |||||
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Hwang, Jong-Moon | Hwang, JM | 3 | Kyungpook Natl Univ Hosp, Dept Rehabil Med, Daegu, South Korea | teeed0522@hanmail.net;bdome@hanmail.net; | |||||
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Jung, Tae-Du | Jung, TD | 4 | 교신저자 | Kyungpook Natl Univ, Sch Med, Dept Rehabil Med, 807 Hoguk Ro, Daegu 41404, South Korea | teeed0522@hanmail.net;bdome@hanmail.net; | ||||
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Jung, Tae-Du | Jung, TD | 4 | 교신저자 | Kyungpook Natl Univ Hosp, Dept Rehabil Med, Daegu, South Korea | teeed0522@hanmail.net;bdome@hanmail.net; | ||||
| Machine learning analysis to automatically measure response time of pharyngeal swallowing reflex in videofluoroscopic swallowing study | Park, Donghwi | Park, D | 5 | 교신저자 | Univ Ulsan, Coll Med, Ulsan Univ Hosp, Dept Phys Med & Rehabil, 877 Bangeojinsunhwando Ro, Ulsan 44033, South Korea | GYQ-6185-2022 | Park, Donghwi | teeed0522@hanmail.net;bdome@hanmail.net; | ||
| Machine learning based approach for multimedia surveillance during fire emergencies | Saeed, Faisal | Saeed, F | 1 | Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu 702701, South Korea | HNT-0710-2023 | Saeed, Faisal | 0000-0002-2822-1708 | Saeed, Faisal | bscsfaisal821@gmail.com;paul.editor@gmail.com;hongwh@knu.ac.kr;notsools@gmail.com; | |
| Machine learning based approach for multimedia surveillance during fire emergencies | Paul, Anand | Paul, A | 2 | 교신저자 | Kyungpook Natl Univ, Dept Comp Sci & Engn, Daegu 702701, South Korea | V-6724-2017 | Paul, Anand | 0000-0003-3115-2325 | Paul, Anand | bscsfaisal821@gmail.com;paul.editor@gmail.com;hongwh@knu.ac.kr;notsools@gmail.com; |
| Machine learning based approach for multimedia surveillance during fire emergencies | Hong, Won Hwa | Hong, WH | 3 | Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 702701, South Korea | bscsfaisal821@gmail.com;paul.editor@gmail.com;hongwh@knu.ac.kr;notsools@gmail.com; | |||||
| Machine learning based approach for multimedia surveillance during fire emergencies | Seo, Hyuncheol | Seo, H | 4 | Kyungpook Natl Univ, Sch Architectural Civil Environm & Energy Engn, Daegu 702701, South Korea | ABC-5117-2020 | Seo, Hyuncheol | 0000-0002-3361-2316 | Seo, HyunCheol | bscsfaisal821@gmail.com;paul.editor@gmail.com;hongwh@knu.ac.kr;notsools@gmail.com; | |
| Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) | Jang, Bum-Sup | Jang, BS | 1 | Seoul Natl Univ, Dept Radiat Oncol, Bundang Hosp, Seongnam 13620, South Korea | 0000-0002-7064-9855 | Jang, Bum-Sup | bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr; | |||
| Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) | Park, Andrew J. | Park, AJ | 2 | SELVAS AI Inc, Artificial Intelligence Res & Dev Lab, Seoul 08594, South Korea | bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr; | |||||
| Machine Learning Model to Predict Pseudoprogression Versus Progression in Glioblastoma Using MRI: A Multi-Institutional Study (KROG 18-07) | Jeon, Seung Hyuck | Jeon, SH | 3 | Korea Adv Inst Sci & Technol, Grad Sch Med Sci & Engn, Daejeon 34141, South Korea | bigwiz83@gmail.com;parkukkyu@daum.net;hyck9004@naver.com;ihkim@snu.ac.kr;dh8lim@skku.edu;shinhyungpark@knu.ac.kr;drleejuhye@gmail.com;jh.chang@snu.ac.kr;kwancho@ncc.re.kr;jhkim@dsmc.or.kr;leonard.sunwoo@gmail.com;verocay1@snu.ac.kr;inah228@snu.ac.kr; |
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