Automated detection of cerebral aneurysms on TOF-MRA using a deep learning approach: An external validation study

NC Lehnen, R Haase, FC Schmeel… - American Journal …, 2022 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: Cerebral aneurysms yield the risk of rupture, severe
disability and death. Thus, early detection of cerebral aneurysms is crucial to ensure timely …

Deep Learning–Based Software Improves Clinicians' Detection Sensitivity of Aneurysms on Brain TOF-MRA

B Sohn, KY Park, J Choi, JH Koo… - American Journal …, 2021 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The detection of cerebral aneurysms on MRA is a
challenging task. Recent studies have used deep learning–based software for automated …

Deep learning–based detection of intracranial aneurysms in 3D TOF-MRA

T Sichtermann, A Faron, R Sijben… - American Journal …, 2019 - Am Soc Neuroradiology
BACKGROUND AND PURPOSE: The rupture of an intracranial aneurysm is a serious
incident, causing subarachnoid hemorrhage associated with high fatality and morbidity …

A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance

B Joo, SS Ahn, PH Yoon, S Bae, B Sohn, YE Lee… - European …, 2020 - Springer
Objectives To develop a deep learning algorithm for automated detection and localization of
intracranial aneurysms on time-of-flight MR angiography and evaluate its diagnostic …

Performance of a deep-learning neural network to detect intracranial aneurysms from 3D TOF-MRA compared to human readers

A Faron, T Sichtermann, N Teichert, JA Luetkens… - Clinical …, 2020 - Springer
Purpose To study the clinical potential of a deep learning neural network (convolutional
neural networks [CNN]) as a supportive tool for detection of intracranial aneurysms from 3D …

Deep learning for MR angiography: automated detection of cerebral aneurysms

D Ueda, A Yamamoto, M Nishimori, T Shimono… - Radiology, 2019 - pubs.rsna.org
Purpose To develop and evaluate a supportive algorithm using deep learning for detecting
cerebral aneurysms at time-of-flight MR angiography to provide a second assessment of …

[HTML][HTML] Deep learning-based platform performs high detection sensitivity of intracranial aneurysms in 3D brain TOF-MRA: An external clinical validation study

Y Li, H Zhang, Y Sun, Q Fan, L Wang, C Ji… - International Journal of …, 2024 - Elsevier
Purpose To evaluate the diagnostic efficacy of a developed artificial intelligence (AI) platform
incorporating deep learning algorithms for the automated detection of intracranial …

Comparison of 1.5 T and 3 T magnetic resonance angiography for detecting cerebral aneurysms using deep learning-based computer-assisted detection software

T Tajima, H Akai, K Yasaka, A Kunimatsu, N Yoshioka… - Neuroradiology, 2023 - Springer
Purpose To compare the diagnostic performance of 1.5 T versus 3 T magnetic resonance
angiography (MRA) for detecting cerebral aneurysms with clinically available deep learning …

Joint two-stage convolutional neural networks for intracranial aneurysms detection on 3D TOF-MRA

Y Zhou, Y Yang, T Fang, S Jia, S Nie… - Physics in Medicine & …, 2023 - iopscience.iop.org
Objective. This study aims to develop a three-dimensional convolutional neural network
utilizing computer-aided diagnostic technology to facilitate the detection of intracranial …

[HTML][HTML] A deep learning model with high standalone performance for diagnosis of unruptured intracranial aneurysm

B Joo, HS Choi, SS Ahn, J Cha, SY Won… - Yonsei Medical …, 2021 - ncbi.nlm.nih.gov
Purpose This study aimed to investigate whether a deep learning model for automated
detection of unruptured intracranial aneurysms on time-of-flight (TOF) magnetic resonance …