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2023 연구성과별 연구자 정보 (582 / 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Deep Learning-based Depth Map Estimation: A Review | Jan, Abdullah | Jan, ABL | 1 | Kyungpook Natl Univ, Sch Architectural Civil Environmental & Energy Eng, Major Civil Engn, Daegu, South Korea | 0009-0000-1087-9299 | Jan, Abdullah | syseo@knu.ac.kr; | |||
| Deep Learning-based Depth Map Estimation: A Review | Khan, Safran | Khan, S | 2 | Kyungpook Natl Univ, Sch Architectural Civil Environmental & Energy Eng, Major Civil Engn, Daegu, South Korea | syseo@knu.ac.kr; | |||||
| Deep Learning-based Depth Map Estimation: A Review | Seo, Suyoung | Seo, S | 3 | 교신저자 | Kyungpook Natl Univ, Sch Architectural Civil Environmental & Energy Eng, Major Civil Engn, Daegu, South Korea | AAB-8465-2020 | Seo, Suyoung | syseo@knu.ac.kr; | ||
| Deep Learning-based Human Vehicle Interface for Smart Golf Cart | Yoo, Min Woo | Yoo, MW | 1 | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | ydn7415@knu.ac.kr;dshan@knu.ac.kr; | |||||
| Deep Learning-based Human Vehicle Interface for Smart Golf Cart | Lee, Chae Hyun | Lee, CH | 2 | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu, South Korea | ydn7415@knu.ac.kr;dshan@knu.ac.kr; | |||||
| Deep Learning-based Human Vehicle Interface for Smart Golf Cart | Han, Dong Seog | Han, DS | 3 | 교신저자 | Kyungpook Natl Univ, Sch Elect Engn, Daegu, South Korea | ydn7415@knu.ac.kr;dshan@knu.ac.kr; | ||||
| Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness | Kang, Hyesun | Kang, H | 1 | Kyungpook Natl Univ, Coll Vet Med, Daegu, South Korea | leekj@knu.ac.kr; | |||||
| Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness | Noh, Daji | Noh, D | 2 | Kyungpook Natl Univ, Coll Vet Med, Daegu, South Korea | leekj@knu.ac.kr; | |||||
| Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness | Lee, Sang-Kwon | Lee, SK | 3 | Kyungpook Natl Univ, Coll Vet Med, Daegu, South Korea | IYI-9991-2023 | Lee, Sang-Kwon | 0000-0002-3097-0345 | Lee, Sang-Kwon | leekj@knu.ac.kr; | |
| Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness | Choi, Sooyoung | Choi, S | 4 | Kangwon Natl Univ, Coll Vet Med, Chuncheon Si, South Korea | 0000-0002-7973-4714 | Choi, Sooyoung | leekj@knu.ac.kr; | |||
| Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness | Lee, Kija | Lee, K | 5 | 교신저자 | Kyungpook Natl Univ, Coll Vet Med, Daegu, South Korea | leekj@knu.ac.kr; | ||||
| Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness | Lee, Kija | Lee, K | 5 | 교신저자 | Kyungpook Natl Univ, Coll Vet Med, 80 Daehak Ro, Daegu 41566, South Korea | leekj@knu.ac.kr; | ||||
| Deep learning-based reconstruction for canine brain magnetic resonance imaging could improve image quality while reducing scan time | Choi, Hyejoon | Choi, H | 1 | Kyungpook Natl Univ, Coll Vet Med, Daegu, South Korea | leekj@knu.ac.kr; | |||||
| Deep learning-based reconstruction for canine brain magnetic resonance imaging could improve image quality while reducing scan time | Lee, Sang-Kwon | Lee, SK | 2 | Kyungpook Natl Univ, Coll Vet Med, Daegu, South Korea | IYI-9991-2023 | Lee, Sang-Kwon | 0000-0002-3097-0345 | Lee, Sang-Kwon | leekj@knu.ac.kr; | |
| Deep learning-based reconstruction for canine brain magnetic resonance imaging could improve image quality while reducing scan time | Choi, Hojung | Choi, H | 3 | Chungnam Natl Univ, Coll Vet Med, Daejeon, South Korea | leekj@knu.ac.kr; |
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