2022 연구성과별 연구자 정보 (176 / 2879)

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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
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B Jang, Myoung-jin Jang, MJ 31 Seoul Natl Univ Hosp, Med Res Collaborat Ctr, Seoul, South Korea gepapath@med.uoa.gr;pindra@empal.com;
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B Lee, Yun Bin Lee, YB 32 Seoul Natl Univ, Liver Res Inst, Dept Internal Med, Coll Med, Seoul, South Korea AAB-9799-2022 Lee, Yoojin gepapath@med.uoa.gr;pindra@empal.com;
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B Kim, Yoon Jun Kim, YJ 33 Seoul Natl Univ, Liver Res Inst, Dept Internal Med, Coll Med, Seoul, South Korea J-2746-2012 Kim, Yoon gepapath@med.uoa.gr;pindra@empal.com;
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B Yoon, Jung-Hwan Yoon, JH 34 Seoul Natl Univ, Liver Res Inst, Dept Internal Med, Coll Med, Seoul, South Korea J-5563-2012 Yoon, Jung gepapath@med.uoa.gr;pindra@empal.com;
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B Papatheodoridis, George V. Papatheodoridis, GV 35 교신저자 Natl & Kapodistrian Univ Athens, Gen Hosp Athens Laiko, Med Sch Natl, Dept Gastroenterol, Athens, Greece A-4603-2008 Papatheodoridis, George gepapath@med.uoa.gr;pindra@empal.com;
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B Papatheodoridis, George V. Papatheodoridis, GV 35 교신저자 Kapodistrian Univ Athens, Laiko Gen Hosp Athens, Med Sch Natl, Dept Gastroenterol, 17 Agiou Thoma St, Athens 11527, Greece A-4603-2008 Papatheodoridis, George gepapath@med.uoa.gr;pindra@empal.com;
An artificial intelligence model to predict hepatocellular carcinoma risk in Korean and Caucasian patients with chronic hepatitis B Lee, Jeong-Hoon Lee, JH 36 교신저자 Seoul Natl Univ, Liver Res Inst, Dept Internal Med, Coll Med, Seoul, South Korea Q-1055-2018 Lee, Jeong-Hoon 0000-0002-0315-2080 Lee, Jeong-Hoon gepapath@med.uoa.gr;pindra@empal.com;
An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module Kim, Bubryur Kim, B 1 Kyungpook Natl Univ, Dept Robot & Smart Syst Engn, 80 Daehak Ro, Daegu 41566, South Korea 0000-0003-4226-7435 KIm, Bub Ryur brkim@knu.ac.kr;watercloud@cu.ac.kr;hugang@hit.edu.cn;dolee@knu.ac.kr;ronnie71@naver.com;
An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module Choi, Se-Woon Choi, SW 2 Daegu Catholic Univ, Dept Architectural Engn, Hayang Ro 13-13, Gyeongasan Si 38430, South Korea brkim@knu.ac.kr;watercloud@cu.ac.kr;hugang@hit.edu.cn;dolee@knu.ac.kr;ronnie71@naver.com;
An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module Hu, Gang Hu, G 3 Harbin Inst Technol, Sch Civil & Environm Engn, Shenzhen 518055, Peoples R China P-8189-2018 Hu, Gang 0000-0001-6284-0812 Hu, Gang brkim@knu.ac.kr;watercloud@cu.ac.kr;hugang@hit.edu.cn;dolee@knu.ac.kr;ronnie71@naver.com;
An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module Lee, Dong-Eun Lee, DE 4 교신저자 Kyungpook Natl Univ, Sch Architecture Civil Environm & Energy Engn, 80 Daehak Ro, Daegu 41566, South Korea 0000-0001-9205-3836 LEE, DONG-EUN brkim@knu.ac.kr;watercloud@cu.ac.kr;hugang@hit.edu.cn;dolee@knu.ac.kr;ronnie71@naver.com;
An Automated Image-Based Multivariant Concrete Defect Recognition Using a Convolutional Neural Network with an Integrated Pooling Module Juan, Ronnie O. Serfa Juan, ROS 5 교신저자 Kyungpook Natl Univ, Sch Architecture Civil Environm & Energy Engn, 80 Daehak Ro, Daegu 41566, South Korea I-1924-2018 Serfa Juan, Ronnie 0000-0002-8551-8057 Serfa Juan, Ronnie brkim@knu.ac.kr;watercloud@cu.ac.kr;hugang@hit.edu.cn;dolee@knu.ac.kr;ronnie71@naver.com;
An automatic decision model for optimal noise barrier plan in terms of health impact, productivity, and cost aspects Choi, Jinwoo Choi, J 1 Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea jinwoo818@yonsei.ac.kr;juwonae@yonsei.ac.kr;hyuna_kang@yonsei.ac.kr;hong7@yonsei.ac.kr;hspark@yonsei.ac.kr;dolee@knu.ac.kr;
An automatic decision model for optimal noise barrier plan in terms of health impact, productivity, and cost aspects Hong, Juwon Hong, J 2 Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea jinwoo818@yonsei.ac.kr;juwonae@yonsei.ac.kr;hyuna_kang@yonsei.ac.kr;hong7@yonsei.ac.kr;hspark@yonsei.ac.kr;dolee@knu.ac.kr;
An automatic decision model for optimal noise barrier plan in terms of health impact, productivity, and cost aspects Kang, Hyuna Kang, H 3 Yonsei Univ, Dept Architecture & Architectural Engn, Seoul, South Korea jinwoo818@yonsei.ac.kr;juwonae@yonsei.ac.kr;hyuna_kang@yonsei.ac.kr;hong7@yonsei.ac.kr;hspark@yonsei.ac.kr;dolee@knu.ac.kr;
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