Journal of the Korean Neurological Association

유체속도강조 자기공명혈관조영 뇌동맥류 판독을 위한 새로운 랜드마크 기반 준지도학습 딥러닝 방법

Erratum: Published online: February 1, 2025

DOI: https://doi.org/10.17340/jkna.2024.0050e; A Novel Landmark-based Semi-supervised Deep Learning Method for Cerebral Aneurysm Detection Using TOF-MRA; 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; 유체속도강조 자기공명혈관조영 뇌동맥류 판독을 위한 새로운 랜드마크 기반 준지도학습 딥러닝 방법; 양현식, 박지은, 김은영, 이민호, 류준환, 김동현, 손범석^a, 이기정; Copyright © 2025 by Korean Neurological Association

This is an Open Access journal distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted, distribution, and reproduction in any medium, provided the original work is properly cited.

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).

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

유체속도강조 자기공명혈관조영 뇌동맥류 판독을 위한 새로운 랜드마크 기반 준지도학습 딥러닝 방법