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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
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Oh, Dong Jun Oh, DJ 4 Dongguk Univ, Coll Med, Ilsan Hosp, Div Gastroenterol,Dept Internal Med, Goyang, South Korea 0000-0002-3876-2153 Oh, Dong jun drlimyj@gmail.com;
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Kim, Ki Bae Kim, KB 5 Chungbuk Natl Univ, Coll Med, Dept Internal Med, Cheongju, South Korea KYQ-0127-2024 Kim, Ki Bae drlimyj@gmail.com;
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Song, Hyun Joo Song, HJ 6 Jeju Natl Univ, Dept Internal Med, Sch Med, Jeju, South Korea GWC-1292-2022 Song, hyunjoo drlimyj@gmail.com;
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Kim, Su Hwan Kim, SH 7 Seoul Metropolitan Govt Seoul Natl Univ, Boramae Med Ctr, Dept Internal Med, Seoul, South Korea GSE-0120-2022 KIM, SUHWAN drlimyj@gmail.com;
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Kang, Sun Hyung Kang, SH 8 Chungnam Natl Univ, Div Gastroenterol & Hepatol, Dept Internal Med, Sch Med, Daejeon, South Korea 0000-0002-1913-4346 Kang, Sun Hyung drlimyj@gmail.com;
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Jung, Min Kyu Jung, MK 9 Kyungpook Natl Univ Hosp, Div Gastroenterol & Hepatol, Dept Internal Med, Daegu, South Korea 0000-0001-8749-408X Jung, Min Kyu drlimyj@gmail.com;
Artificial intelligence that determines the clinical significance of capsule endoscopy images can increase the efficiency of reading Jeong Lim, Yun Lim, YJ 10 교신저자 Dongguk Univ, Coll Med, Ilsan Hosp, Div Gastroenterol,Dept Internal Med, Goyang, South Korea drlimyj@gmail.com;
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Park, Junseok Park, J 1 Soonchunhyang Univ, Coll Med, Dept Internal Med, Digest Dis Ctr,Inst Digest Res, Seoul, South Korea ABS-0095-2022 Park, Junseok 0000-0001-5607-1041 Park, Junseok
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Hwang, Youngbae Hwang, Y 2 Chungbuk Natl Univ, Dept Elect Engn, Cheongju, Chungchungbuk D, South Korea
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Lim, Yun Jeong Lim, YJ 3 Dongguk Univ, Ilsan Hosp, Coll Med, Div Gastroenterol,Dept Internal Med, Goyang, Gyeonggi Do, South Korea
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Nam, Ji Hyung Nam, JH 4 Dongguk Univ, Ilsan Hosp, Coll Med, Div Gastroenterol,Dept Internal Med, Goyang, Gyeonggi Do, South Korea
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Oh, Dong Jun Oh, DJ 5 Dongguk Univ, Ilsan Hosp, Coll Med, Div Gastroenterol,Dept Internal Med, Goyang, Gyeonggi Do, South Korea
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Song, Hyun Joo Song, HJ 6 Jeju Natl Univ, Sch Med, Dept Internal Med, Jeju, Jeju, South Korea GWC-1292-2022 Song, hyunjoo
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Kim, Ki Bae Kim, KB 7 Chungbuk Natl Univ, Coll Med, Dept Internal Med, Cheongju, Chungchungbuk D, South Korea KYQ-0127-2024 Kim, Ki Bae
ARTIFICIAL INTELLIGENCE, TRAINED WITH A ROUGH BINARY CLASSIFICATION, CAN SELECT SIGNIFICANT IMAGES OF CAPSULE ENDOSCOPY Kim, Su Hwan Kim, SH 8 Seoul Natl Univ, Seoul Metropolitan Govt, Boramae Med Ctr, Dept Internal Med, Seoul, South Korea GSE-0120-2022 KIM, SUHWAN
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