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2023 연구성과별 연구자 정보 (575 / 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 Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images Kim, Moonsik Kim, M 3 Kyungpook Natl Univ, Chilgok Hosp, Dept Pathol, Sch Med, Daegu 41404, South Korea joshua@knu.ac.kr;jyparkmd@knu.ac.kr;
Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images Park, Nora Jee-Young Park, NJY 4 Kyungpook Natl Univ, Chilgok Hosp, Dept Pathol, Sch Med, Daegu 41404, South Korea joshua@knu.ac.kr;jyparkmd@knu.ac.kr;
Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images Han, Hyungsoo Han, H 5 Kyungpook Natl Univ, Clin Om Inst, Daegu 41405, South Korea joshua@knu.ac.kr;jyparkmd@knu.ac.kr;
Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images Han, Hyungsoo Han, H 5 Kyungpook Natl Univ, Sch Med, Dept Physiol, Daegu 41944, South Korea joshua@knu.ac.kr;jyparkmd@knu.ac.kr;
Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images Cho, Junghwan Cho, J 6 교신저자 Kyungpook Natl Univ, Clin Om Inst, Daegu 41405, South Korea AAK-4752-2020 Cho, Junghwan joshua@knu.ac.kr;jyparkmd@knu.ac.kr;
Deep Learning Prediction of TERT Promoter Mutation Status in Thyroid Cancer Using Histologic Images Park, Ji Young Park, JY 7 교신저자 Kyungpook Natl Univ, Chilgok Hosp, Dept Pathol, Sch Med, Daegu 41404, South Korea joshua@knu.ac.kr;jyparkmd@knu.ac.kr;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Jo, Sang Won Jo, SW 1 Hallym Univ, Dept Radiol, Dongtan Sacred Heart Hosp, 7 Keunjaebong gil, Hwaseong si, South Korea AAE-7529-2022 Jo, Sang Won 0000-0001-6755-3652 Jo, Sang Won nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Khil, Eun Kyung Khil, EK 2 교신저자 Hallym Univ, Dept Radiol, Dongtan Sacred Heart Hosp, 7 Keunjaebong gil, Hwaseong si, South Korea nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Khil, Eun Kyung Khil, EK 2 교신저자 Fastbone Orthoped Hosp, Dept Radiol, Hwaseong si, South Korea nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Lee, Kyoung Yeon Lee, KY 3 Hallym Univ, Dept Radiol, Dongtan Sacred Heart Hosp, 7 Keunjaebong gil, Hwaseong si, South Korea nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Choi, Il Choi, I 4 Hallym Univ, Dept Neurol Surg, Dongtan Sacred Heart Hosp, Hwaseong si, South Korea ABI-4106-2020 Choi, IL nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Yoon, Yu Sung Yoon, YS 5 Soonchunhyang Univ, Dept Radiol, Bucheon Hosp, Bucheon, South Korea nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Yoon, Yu Sung Yoon, YS 5 Kyungpook Natl Univ Hosp, Dept Radiol, Daegu, South Korea nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Cha, Jang Gyu Cha, JG 6 Soonchunhyang Univ, Dept Radiol, Bucheon Hosp, Bucheon, South Korea U-3216-2019 Cha, Jang nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Lee, Jae Hyeok Lee, JH 7 DEEPNOID Inc, Seoul, South Korea nizzinim@gmail.com;
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