유체속도강조 자기공명혈관조영 뇌동맥류 판독을 위한 새로운 랜드마크 기반 준지도학습 딥러닝 방법

A Novel Landmark-based Semi-supervised Deep Learning Method for Cerebral Aneurysm Detection Using TOF-MRA

Article information

J Korean Neurol Assoc. 2025;43(1):74-74

Publication date (electronic) : February 1, 2025

doi : http://dx.doi.org/10.17340/jkna.2024.0050e

Hyeonsik Yang, BS , Jieun Park, MS , Eunyoung Regina Kim, PhD , Minho Lee, PhD , ZunHyan Rieu, BS , Donghyeon Kim, PhD , Beomseok Sohn, MD, PhD ^a, Kijeong Lee, MD

Research Institute, Neurophet, Seoul, Korea

^aDepartment of Radiology and Center for Imaging Sciences, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea

양현식, 박지은, 김은영, 이민호, 류준환, 김동현, 손범석^a, 이기정

뉴로핏 주식회사 기업연구소

^a성균관대학교 의과대학 삼성서울병원 영상의학과

See the letter "A Novel Landmark-based Semi-supervised Deep Learning Method for Cerebral Aneurysm Detection Using TOF-MRA" on page 322.

J Korean Neurol Assoc 42(4):322-330, 2024 https://doi.org/10.17340/jkna.2024.0050

J Korean Neurol Assoc 43(1):74, 2025

대한신경과학회지에 게재된 위 논문에서 사사문구에 오류가 있었습니다.

This research was financially supported by the Ministry of Trade, Industry and Energy, Korea, under the Regional Innovation Cluster Development Program (R&D, P0025377) supervised by the Korea Institute for Advancement of Technology (KIAT).

Article information Continued

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