연구성과로 돌아가기

2025 연구성과별 연구자 정보 (117 / 1187)

※ 현재 Web of Science 저자 정보만 집계되어 있습니다.
※ 컨트롤 + 클릭으로 열별 다중 정렬 가능합니다.
Excel 다운로드
Document Title Author Full Name Author Short Name Index Corresponding Address ResearcherID ResearcherID Author Name ORCID ORCID Author Name Related Email
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kim, Hyun Mi Kim, HM 8 Kyungpook Natl Univ, Sch Med, Dept Obstet & Gynecol, Daegu, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Lee, Jisun Lee, J 9 Kyungpook Natl Univ, Sch Med, Dept Obstet & Gynecol, Daegu, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Seol, Hyun-Joo Seol, HJ 10 Kyung Hee Univ, Kyung Hee Univ Hosp Gangdong, Sch Med, Dept Obstet & Gynecol, Seoul, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Pyeon, Seungyeon Pyeon, S 11 Kyung Hee Univ, Kyung Hee Univ Hosp Gangdong, Sch Med, Dept Obstet & Gynecol, Seoul, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Hong, Soon-Cheol Hong, SC 12 Korea Univ Med, Dept Obstet & Gynecol, Seoul, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kang, Yun Dan Kang, YD 13 Dankook Univ, Sch Med, Dept Obstet & Gynecol, Cheonan, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Oh, Kyung Joon Oh, KJ 14 Seoul Natl Univ, Bundang Hosp, Dept Obstet & Gynecol, Coll Med, Seongnam, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Park, Joong Shin Park, JS 15 Seoul Natl Univ, Coll Med, Dept Obstet & Gynecol, Seoul, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kim, Young Nam Kim, YN 16 Inje Univ, Busan Paik Hosp, Coll Med, Dept Obstet & Gynecol, Busan, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kim, Young Ah Kim, YA 17 Inje Univ, Coll Med, Ilsan Paik Hosp, Dept Obstet & Gynecol, Goyang, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kim, Yoon Ha Kim, YH 18 Chonnam Natl Univ, Med Sch, Dept Obstet & Gynecol, Gwangju, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kim, Gwang Jun Kim, GJ 19 Chung Ang Univ Hosp, Dept Obstet & Gynecol, Seoul, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kim, Miran Kim, M 20 교신저자 Ajou Univ, Grad Sch Med, Dept Convergence Healthcare Med, Suwon, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Kim, Miran Kim, M 20 교신저자 Ajou Univ, Sch Med, Dept Obstet & Gynecol, Suwon, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study Chang, Hye Jin Chang, HJ 21 교신저자 Ajou Univ, Sch Med, Dept Obstet & Gynecol, Suwon, South Korea bg9523@ajou.ac.kr; choi328328@ajou.ac.kr; veritas@ajou.ac.kr; kdw1015@gmail.com; mongkoko@catholic.ac.kr; wjseong@knu.ac.kr; chh9861@knu.ac.kr; hyunmik@gmail.com; vmariagnes@gmail.com; seolhj@khu.ac.kr; pyun0522@gmail.com; novak082@naver.com; yundan76@dankook.ac.kr; kjohmd@snubh.org; jsparkmd@snu.ac.kr; ob.youngnam@gmail.com; camanbal@paik.ac.kr; kimyh@chonnam.ac.kr; gjkim@cau.ac.kr; kmr5300@ajou.ac.kr; zzanga-94@hanmail.net;
페이지 이동: