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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 metric learning-based image retrieval system for chest radiograph and its clinical applications in COVID-19 | Li, Quanzheng | Li, QZ | 20 | 교신저자 | MGH & BWH Ctr Clin Data Sci, Boston, MA 02114 USA | li.quanzheng@mgh.harvard.edu; | ||||
| Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video images | Kim, Jinah | Kim, J | 1 | 교신저자 | Korea Inst Ocean Sci & Technol, Coastal Disaster Res Ctr, Busan 49111, South Korea | jaeilkim@knu.ac.kr; | ||||
| Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video images | Kim, Taekyung | Kim, T | 2 | Korea Inst Ocean Sci & Technol, Coastal Disaster Res Ctr, Busan 49111, South Korea | jaeilkim@knu.ac.kr; | |||||
| Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video images | Oh, Sang-Ho | Oh, SH | 3 | Changwon Natl Univ, Dept Civil Engn, Changwon Si 51140, South Korea | ISV-3878-2023 | Oh, Sang Ho | jaeilkim@knu.ac.kr; | |||
| Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video images | Do, Kideok | Do, K | 4 | Korea Maritime & Ocean Univ, Dept Ocean Engn, Busan 49111, South Korea | AHD-8394-2022 | Do, Kideok | jaeilkim@knu.ac.kr; | |||
| Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video images | Ryu, Joon-Gyu | Ryu, JG | 5 | Elect & Telecommun Res Inst, Satellite Wide Area Infra Res Sect, Daejeon 34129, South Korea | jaeilkim@knu.ac.kr; | |||||
| Deep visual domain adaptation and semi-supervised segmentation for understanding wave elevation using wave flume video images | Kim, Jaeil | Kim, J | 6 | 교신저자 | Kyungpook Natl Univ, Sch Comp Sci & Engn, Daegu 41566, South Korea | jaeilkim@knu.ac.kr; | ||||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Jeon, Su-Jin | Jeon, SJ | 1 | Wonkwang Univ, Dept Conservat Dent, Daejeon Dent Hosp, Daejeon, South Korea | profee@naver.com; | |||||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Yun, Jong-Pil | Yun, JP | 2 | Korea Inst Ind Technol KITECH, Safety Syst Res Grp, Gyongsan, South Korea | profee@naver.com; | |||||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Yeom, Han-Gyeol | Yeom, HG | 3 | Wonkwang Univ, Dept Oral & Maxillofacial Radiol, Daejeon Dent Hosp, Daejeon, South Korea | profee@naver.com; | |||||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Shin, Woo-Sang | Shin, WS | 4 | Korea Inst Ind Technol KITECH, Safety Syst Res Grp, Gyongsan, South Korea | profee@naver.com; | |||||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Shin, Woo-Sang | Shin, WS | 4 | Kyungpook Natl Univ, Coll IT Engn, Sch Elect Engn, Daegu, South Korea | profee@naver.com; | |||||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Lee, Jong-Hyun | Lee, JH | 5 | Korea Inst Ind Technol KITECH, Safety Syst Res Grp, Gyongsan, South Korea | ABE-6242-2020 | Lee, jaeho | profee@naver.com; | |||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Lee, Jong-Hyun | Lee, JH | 5 | Kyungpook Natl Univ, Coll IT Engn, Sch Elect Engn, Daegu, South Korea | ABE-6242-2020 | Lee, jaeho | profee@naver.com; | |||
| Deep-learning for predicting C-shaped canals in mandibular second molars on panoramic radiographs | Jeong, Seung-Hyun | Jeong, SH | 6 | Korea Inst Ind Technol KITECH, Safety Syst Res Grp, Gyongsan, South Korea | profee@naver.com; |
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