J Am Soc Echocardiogr. 2025;38(8):723-725.
Deep Learning-Based Detection and Severity Assessment of Bicuspid Aortic Valve Stenosis.
제1저자 박지석, 김지연 · 교신저자 윤연이, 전재익
소속 (6)
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea.
- Ontact Health, Seoul, Republic of Korea.
- Cardiovascular Center and Division of Cardiology, Department of Internal Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea; Department of Internal Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea; Ontact Health, Seoul, Republic of Korea.
- CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Department of Internal Medicine, Graduate School of Medical Science, Brain Korea 21 Project, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Ontact Health, Seoul, Republic of Korea; CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea.
- Ontact Health, Seoul, Republic of Korea; CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Conflict of interest statement
Conflicts of Interest None.
그 밖의 정보
- 출판 형태
- Journal Article
- 저널
- Journal of the American Society of Echocardiography : official publication of the American Society of Echocardiography · eISSN 1097-6795
- 전자 출판
- 2025-04-11