연구성과로 돌아가기

2023 연구성과별 연구자 정보 (583 / 2675)

※ 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
Deep learning-based reconstruction for canine brain magnetic resonance imaging could improve image quality while reducing scan time Lee, Youngwon Lee, Y 4 Chungnam Natl Univ, Coll Vet Med, Daejeon, 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, Kija Lee, K 5 교신저자 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, 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 Semantic Segmentation of Urban Areas Using Heterogeneous Unmanned Aerial Vehicle Datasets Song, Ahram Song, AH 1 교신저자 Kyungpook Natl Univ, Dept Locat Based Informat Syst, 2559 Gyeongsang daero, Sangju 37224, Gyeongsangbuk, South Korea 0000-0002-9190-2848 song, ahram ars@knu.ac.kr;
Deep neural network prediction for effective thermal conductivity and spreading thermal resistance for flat heat pipe Kim, Myeongjin Kim, M 1 Kyungpook Natl Univ, Dept Hydrogen & Renewable Energy, Daegu, South Korea jhmoon9@sejong.ac.kr;
Deep neural network prediction for effective thermal conductivity and spreading thermal resistance for flat heat pipe Moon, Joo Hyun Moon, JH 2 교신저자 Sejong Univ, Dept Mech & Aerosp Engn, Seoul, South Korea AAN-3395-2021 Moon, Joo jhmoon9@sejong.ac.kr;
Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects Kim, Kangsan Kim, K 1 Korea Inst Radiol & Med Sci, Div Appl RI, Seoul 01812, South Korea krmount@kirams.re.kr;giltae@knu.ac.kr;skwoo@kirams.re.kr;
Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects Kim, Kwang Seok Kim, KS 2 Korea Inst Radiol & Med Sci, Dept Radiat Oncol, Seoul 01812, South Korea 0000-0002-0307-3390 Kim, Kwang Seok krmount@kirams.re.kr;giltae@knu.ac.kr;skwoo@kirams.re.kr;
Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects Jang, Won Il Jang, WI 3 Korea Inst Radiol & Med Sci, Dept Radiat Oncol, Seoul 01812, South Korea krmount@kirams.re.kr;giltae@knu.ac.kr;skwoo@kirams.re.kr;
Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects Jang, Seongjae Jang, S 4 Korea Inst Radiol & Med Sci, Natl Radiat Emergency Med Ctr, Seoul 01812, South Korea AAV-5628-2021 Jang, Seongjae 0000-0001-8116-2279 Jang, SeongJae krmount@kirams.re.kr;giltae@knu.ac.kr;skwoo@kirams.re.kr;
Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects Hwang, Gil Tae Hwang, GT 5 Kyungpook Natl Univ, Dept Chem, Daegu 41566, South Korea L-6502-2017 Hwang, Gil Tae 0000-0001-7107-9244 Hwang, Gil Tae krmount@kirams.re.kr;giltae@knu.ac.kr;skwoo@kirams.re.kr;
Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects Hwang, Gil Tae Hwang, GT 5 Kyungpook Natl Univ, Green Nano Mat Res Ctr, Daegu 41566, South Korea L-6502-2017 Hwang, Gil Tae 0000-0001-7107-9244 Hwang, Gil Tae krmount@kirams.re.kr;giltae@knu.ac.kr;skwoo@kirams.re.kr;
Deep Neural Network-Based Automatic Dicentric Chromosome Detection Using a Model Pretrained on Common Objects Woo, Sang-Keun Woo, SK 6 교신저자 Korea Inst Radiol & Med Sci, Div Appl RI, Seoul 01812, South Korea 0000-0002-6728-8876 Woo, Sang-Keun krmount@kirams.re.kr;giltae@knu.ac.kr;skwoo@kirams.re.kr;
Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study Le, Xuan-Hien Le, XH 1 교신저자 Kyungpook Natl Univ, Disaster Prevent Emergency Management Inst, 2559 Gyeongsang, Sangju 37224, South Korea AAZ-9166-2021 Le, Xuan-Hien 0000-0002-0947-0805 Le, Xuan-Hien hienlx@knu.ac.kr;leegiha@knu.ac.kr;
Deep neural network-based discharge prediction for upstream hydrological stations: a comparative study Le, Xuan-Hien Le, XH 1 교신저자 Thuyloi Univ, Fac Water Resources Engn, 175 Tay Son, Hanoi 10000, Vietnam AAZ-9166-2021 Le, Xuan-Hien 0000-0002-0947-0805 Le, Xuan-Hien hienlx@knu.ac.kr;leegiha@knu.ac.kr;
페이지 이동: