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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 Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study | Kim, Jin Young | Kim, JY | 6 | Keimyung Univ, Dongsan Hosp, Dept Radiol, Daegu, South Korea | CAI-2335-2022 | Lee, Jun Young | 0000-0001-6714-8358 | Kim, Jin Young | s-choi@knu.ac.kr; | |
| Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study | Kim, Ki Beom | Kim, KB | 7 | Daegu Fatima Hosp, Dept Radiol, Daegu, South Korea | 0000-0003-4508-6058 | Kim, Ki Beom | s-choi@knu.ac.kr; | |||
| Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study | Choi, Sooyoung | Choi, S | 8 | 교신저자 | Yeungnam Univ, Dept Radiol, Med Ctr, Daegu, South Korea | 0000-0003-1313-1002 | Choi, Sooyoung | s-choi@knu.ac.kr; | ||
| Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study | Kim, Young Hwan | Kim, YH | 9 | Daegu Catholic Univ, Sch Med, Dept Radiol, Daegu, South Korea | s-choi@knu.ac.kr; | |||||
| Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study | Lim, Jae-Kwang | Lim, JK | 10 | Kyungpook Natl Univ, Sch Med, Dept Radiol, Daegu, South Korea | 0000-0002-1299-9996 | Lim, Jae-Kwang | s-choi@knu.ac.kr; | |||
| Deep Learning Models for Predicting Severe Progression in COVID-19-Infected Patients: Retrospective Study | Choi, Sanghun | Choi, S | 11 | 교신저자 | Kyungpook Natl Univ, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea | AGS-7430-2022 | Choi, Sanghun | s-choi@knu.ac.kr; | ||
| Deep Learning Techniques for Fatty Liver Using Multi-View Ultrasound Images Scanned by Different Scanners: Development and Validation Study | Kim, Taewoo | Kim, T | 1 | Kyungpook Natl Univ, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea | s-choi@knu.ac.kr; | |||||
| Deep Learning Techniques for Fatty Liver Using Multi-View Ultrasound Images Scanned by Different Scanners: Development and Validation Study | Lee, Dong Hyun | Lee, DH | 2 | Good Gang An Hosp, Div Gastroenterol, Dept Internal Med, Busan, South Korea | 0000-0003-2585-2894 | Lee, Dong Hyun | s-choi@knu.ac.kr; | |||
| Deep Learning Techniques for Fatty Liver Using Multi-View Ultrasound Images Scanned by Different Scanners: Development and Validation Study | Park, Eun-Kee | Park, EK | 3 | Kosin Univ, Dept Med Humanities & Social Med, Coll Med, Busan, South Korea | s-choi@knu.ac.kr; | |||||
| Deep Learning Techniques for Fatty Liver Using Multi-View Ultrasound Images Scanned by Different Scanners: Development and Validation Study | Choi, Sanghun | Choi, S | 4 | 교신저자 | Kyungpook Natl Univ, Sch Mech Engn, 80 Daehak Ro, Daegu 41566, South Korea | AGS-7430-2022 | Choi, Sanghun | 0000-0001-5030-0296 | Choi, Sanghun | s-choi@knu.ac.kr; |
| Deep Learning-Based Automatic Modulation Classification With Blind OFDM Parameter Estimation | Park, Myung Chul | Park, MC | 1 | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | 0000-0001-6287-9071 | Park, Myung Chul | dshan@knu.ac.kr; | |||
| Deep Learning-Based Automatic Modulation Classification With Blind OFDM Parameter Estimation | Han, Dong Seog | Han, DS | 2 | 교신저자 | Kyungpook Natl Univ, Sch Elect & Elect Engn, Daegu 41566, South Korea | N-8949-2018 | Han, Dong Seog | 0000-0002-7769-0236 | Han, Dong Seog | dshan@knu.ac.kr; |
| Deep Learning-Based Method to Recognize Line Objects and Flow Arrows from Image-Format Piping and Instrumentation Diagrams for Digitization | Moon, Yoochan | Moon, Y | 1 | Korea Univ, Sch Mech Engn, 145 Anam Ro, Seoul 02841, South Korea | ans9173@korea.ac.kr;jinwonlee@korea.ac.kr;dhmun@korea.ac.kr;sea3729@naver.com; | |||||
| Deep Learning-Based Method to Recognize Line Objects and Flow Arrows from Image-Format Piping and Instrumentation Diagrams for Digitization | Lee, Jinwon | Lee, J | 2 | Korea Univ, Sch Mech Engn, 145 Anam Ro, Seoul 02841, South Korea | JZS-9570-2024 | Lee, Jinwon | 0000-0003-4810-1014 | Lee, Jinwon | ans9173@korea.ac.kr;jinwonlee@korea.ac.kr;dhmun@korea.ac.kr;sea3729@naver.com; | |
| Deep Learning-Based Method to Recognize Line Objects and Flow Arrows from Image-Format Piping and Instrumentation Diagrams for Digitization | Mun, Duhwan | Mun, D | 3 | 교신저자 | Korea Univ, Sch Mech Engn, 145 Anam Ro, Seoul 02841, South Korea | AAC-5360-2020 | Mun, Duhwan | 0000-0002-5477-0671 | Mun, Duhwan | ans9173@korea.ac.kr;jinwonlee@korea.ac.kr;dhmun@korea.ac.kr;sea3729@naver.com; |
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