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2024 연구성과별 연구자 정보 (532 / 2344)
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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 learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images | Kim, Jong-Yeup | Kim, JY | 19 | 교신저자 | Konyang Univ, Coll Med, Dept Biomed Informat, Daejeon, South Korea | ISA-2120-2023 | Kim, Jong-Yeup | dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr; | ||
| Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images | Kwon, Jae Hwan | Kwon, JH | 20 | 교신저자 | Kosin Univ, Coll Med, Dept Otolaryngol Head & Neck Surg, Busan, South Korea | dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr; | ||||
| Deep learning algorithm for the automated detection and classification of nasal cavity mass in nasal endoscopic images | Yu, Myeong Sang | Yu, MS | 21 | 교신저자 | Univ Ulsan, Coll Med, Asan Med Ctr, Dept Otorhinolaryngol Head & Neck Surg, Seoul, South Korea | dryums@gmail.com;entkwon@hanmail.net;jykim@kyuh.ac.kr; | ||||
| DEEP LEARNING APPROACH FOR CLASSIFICATION OF WATER BOTTOM AND SURFACE FROM BATHYMETRIC LIDAR POINT CLOUDS | Song, Ahram | Song, A | 1 | 교신저자 | Kyungpook Natl Univ, Dept Locat Based Informat Syst, Sangju, South Korea | |||||
| DEEP LEARNING APPROACH FOR CLASSIFICATION OF WATER BOTTOM AND SURFACE FROM BATHYMETRIC LIDAR POINT CLOUDS | Kim, Hyejin | Kim, H | 2 | Konkuk Univ, Social Ecotech Inst, Seoul, South Korea | ||||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Seong, Daewoon | Seong, D | 1 | Kyungpook Natl Univ, Coll IT Engn, Sch Elect & Elect Engn, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; | |||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Lee, Euimin | Lee, E | 2 | Kyungpook Natl Univ, Coll IT Engn, Sch Elect & Elect Engn, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; | |||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Kim, Yoonseok | Kim, Y | 3 | Kyungpook Natl Univ, Coll IT Engn, Sch Elect & Elect Engn, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; | |||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Yae, Che Gyem | Yae, CG | 4 | Kyungpook Natl Univ Hosp, Biomed Inst, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; | |||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Yae, Che Gyem | Yae, CG | 4 | Kyungpook Natl Univ, Sch Med, Dept Ophthalmol, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; | |||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Choi, JeongMun | Choi, J | 5 | Kyungpook Natl Univ Hosp, Biomed Inst, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; | |||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Choi, JeongMun | Choi, J | 5 | Kyungpook Natl Univ, Sch Med, Dept Ophthalmol, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; | |||||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Kim, Hong Kyun | Kim, HK | 6 | 교신저자 | Kyungpook Natl Univ Hosp, Biomed Inst, Daegu, South Korea | ITT-7758-2023 | Kim, Hong Kyun | okeye@knu.ac.kr;msjeon@knu.ac.kr; | ||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Kim, Hong Kyun | Kim, HK | 6 | 교신저자 | Kyungpook Natl Univ, Sch Med, Dept Ophthalmol, Daegu, South Korea | ITT-7758-2023 | Kim, Hong Kyun | okeye@knu.ac.kr;msjeon@knu.ac.kr; | ||
| Deep learning based highly accurate transplanted bioengineered corneal equivalent thickness measurement using optical coherence tomography | Jeon, Mansik | Jeon, M | 7 | 교신저자 | Kyungpook Natl Univ, Coll IT Engn, Sch Elect & Elect Engn, Daegu, South Korea | okeye@knu.ac.kr;msjeon@knu.ac.kr; |
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