Automatic classification of the cerebral vascular bifurcations using dimensionality reduction and machine learning-Reference-Cited by-同舟云学术

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Automatic classification of the cerebral vascular bifurcations using dimensionality reduction and machine learning

Published:2022-12 Issue:4 Volume:2 Page:100108
ISSN:2772-5286
Container-title:Neuroscience Informatics
language:en
Short-container-title:Neuroscience Informatics

Author:

Essadik Ibtissam,Nouri Anass^ORCID,Touahni Raja^ORCID,Bourcier Romain,Autrusseau Florent^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Simultaneous segmentation and anatomical labeling of the cerebral vasculature;Robben;Med. Image Anal.,2016

2. Heritability of circle of Willis variations in families with intracranial aneurysms;Sánchez van Kammen;PLoS ONE,2018

3. Deep learning-based detection of intracranial aneurysms in 3d tof-mra;Sichtermann;Am. J. Neuroradiol.,2019

4. The evolution of intracranial aneurysm treatment techniques and future directions;Lee;Neurosurg. Rev.,2022

5. The geometry of the circle of Willis anatomical variants as a potential cerebrovascular risk factor;Pascalau;Turk. Neurosurg.,2019

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Improved Path-Finding Method for the Tracking of Centerlines of Tortuous Internal Carotid Arteries in MR Angiography;Journal of Imaging;2024-02-28

2. Comparing Autoencoder to Geometrical Features for Vascular Bifurcations Identification;2023 International Symposium on Image and Signal Processing and Analysis (ISPA);2023-09-18

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