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2023 연구성과별 연구자 정보 (576 / 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 system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Kim, Hyunggi Kim, H 8 DEEPNOID Inc, Seoul, South Korea nizzinim@gmail.com;
Deep learning system for automated detection of posterior ligamentous complex injury in patients with thoracolumbar fracture on MRI Lee, Sun Yeop Lee, SY 9 DEEPNOID Inc, Seoul, South Korea ABB-6576-2021 Lee, Sunyeop nizzinim@gmail.com;
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Park, S. H. Park, SH 1 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Jeong, S. Jeong, S 2 Kyungpook Natl Univ, Sch Med, Dept Med Informat, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Jeong, S. Jeong, S 2 Kyungpook Natl Univ Hosp, Res Ctr Artificial Intelligence Med, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Yu, H. Yu, H 3 Kyungpook Natl Univ Hosp, Res Ctr Artificial Intelligence Med, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Woo, D. Woo, D 4 Kyungpook Natl Univ Hosp, Res Ctr Artificial Intelligence Med, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Chong, G. O. Chong, GO 5 Kyungpook Natl Univ, Sch Med, Dept Obstet & Gynecol, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Chong, G. O. Chong, GO 5 Kyungpook Natl Univ, Sch Med, Clin Omics Res Ctr, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Han, H. S. Han, HS 6 Kyungpook Natl Univ, Sch Med, Clin Omics Res Ctr, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Han, H. S. Han, HS 6 Kyungpook Natl Univ, Sch Med, Dept Physiol, Daegu, South Korea
Deep Learning vs. Handcrafted Radiomics to Predict Chemoradiotherapy Response for Locally Advanced Cervical Cancer Kim, J. Kim, J 7 Kyungpook Natl Univ, Sch Med, Dept Radiat Oncol, Daegu, South Korea
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Lee, Hyun Woo Lee, HW 1 Seoul Natl Univ, Dept Internal Med, Div Resp & Crit Care, Seoul Metropolitan Govt,Boramae Med Ctr, Seoul, South Korea AAH-8473-2020 Lee, Hyun Woo 0000-0003-4379-0260 Lee, Hyun Woo wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Lee, Hyun Woo Lee, HW 1 Seoul Natl Univ, Coll Med, Seoul, South Korea AAH-8473-2020 Lee, Hyun Woo 0000-0003-4379-0260 Lee, Hyun Woo wlsrhkdska@gmail.com;
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Yang, Hyun Jun Yang, HJ 2 Seoul Natl Univ, Coll Med, Seoul, South Korea 0000-0002-6456-5014 -Yang, Hyun Jun wlsrhkdska@gmail.com;
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