A review of artificial intelligence in cerebrovascular disease imaging: applications and challenges

X Chen, Y Lei, J Su, H Yang, W Ni, J Yu… - Current …, 2022 - benthamdirect.com
Background: A variety of emerging medical imaging technologies based on artificial
intelligence have been widely applied in many diseases, but they are still limitedly used in …

A survey of intracranial aneurysm detection and segmentation

WC Hsu, M Meuschke, AF Frangi, B Preim… - Medical Image …, 2025 - Elsevier
Intracranial aneurysms (IAs) are a critical public health concern: they are asymptomatic and
can lead to fatal subarachnoid hemorrhage in case of rupture. Neuroradiologists rely on …

Automatic detection on intracranial aneurysm from digital subtraction angiography with cascade convolutional neural networks

H Duan, Y Huang, L Liu, H Dai, L Chen… - Biomedical engineering …, 2019 - Springer
Background An intracranial aneurysm is a cerebrovascular disorder that can result in
various diseases. Clinically, diagnosis of an intracranial aneurysm utilizes digital subtraction …

A novel method for pulmonary embolism detection in CTA images

H Özkan, O Osman, S Şahin, AF Boz - Computer methods and programs in …, 2014 - Elsevier
In this paper, we propose a new computer-aided detection (CAD)–based method to detect
pulmonary embolism (PE) in computed tomography angiography images (CTAI). Since lung …

Automatic detection of intracranial aneurysms in 3D-DSA based on a Bayesian optimized filter

T Hu, H Yang, W Ni, Y Lei, Z Jiang, K Shi, J Yu… - BioMedical Engineering …, 2020 - Springer
Background Intracranial aneurysm is a common type of cerebrovascular disease with a risk
of devastating subarachnoid hemorrhage if it is ruptured. Accurate computer-aided detection …

A framework for intracranial aneurysm detection and rupture analysis on DSA

T Hu, H Yang, W Ni - Journal of Clinical Neuroscience, 2023 - Elsevier
Background Intracranial aneurysm is a severe cerebrovascular disease that can result in
subarachnoid hemorrhage (SAH), leading to high incidence and mortality rates. Computer …

A fully automatic based deep learning approach for aneurysm detection in DSA images

I Rahmany, R Guetari, N Khlifa - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Intracranial Aneurysm (IA) is a weaknesses of the cerebral arteries. Their rupture causes
heavy consequences. Therefore, accurately assessing the risk of IA rupture and intervening …

Feasibility of quantification of intracranial aneurysm pulsation with 4D CTA with manual and computer-aided post-processing

T Illies, D Saering, M Kinoshita, T Fu**aka, M Bester… - PLoS …, 2016 - journals.plos.org
Background and Purpose The analysis of the pulsation of unruptured intracranial aneurysms
might improve the assessment of their stability and risk of rupture. Pulsations can easily be …

Cerebral aneurysm computer-aided detection system by combing MSER, SURF and SIFT descriptors

I Rahmany, B Arfaoui, N Khlifa… - 2018 5th international …, 2018 - ieeexplore.ieee.org
Computer-Assisted Detection (CAD) systems for detecting Cerebral Aneurysms (CA) present
an important influence in the prevention of Intracranial HSA (Subarachnoid Hemorrhage) …

Automated computerized method for the detection of unruptured cerebral aneurysms in DSA images

I Rahmany, S Laajili, N Khlifa - Current Medical Imaging …, 2018 - benthamdirect.com
Introduction: We present in this paper an automatic detection system of brain aneurysms in
Digital Subtraction Angiography (DSA) images. Methods: The approach proposed here …