Comparative Study of Automated Algorithms for Brain Arteriovenous Malformation Nidus Extent Identification Using 3DRA
Author:
Funder
FONCYT - ANPCYT
CONICET
Nvidia
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Biomedical Engineering
Link
https://link.springer.com/content/pdf/10.1007/s13239-023-00688-w.pdf
Reference29 articles.
1. Borden, N. M. 3D Angiographic Atlas of Neurovascular Anatomy and Pathology. Cambridge: Cambridge University Press, 2006.
2. Dumont, A. S., J. P. Sheehan, and G. Lanzino. Brain Arteriovenous Malformations and Arteriovenous Fistulas. Stuttgart: Thieme, 2017.
3. Spetzler, R. F., and N. A. Martin. A proposed grading system for arteriovenous malformations. J. Neurosurg. 65(4):476–483, 1986.
4. Sicuri, G. M., N. Galante, and R. Stefini. Brain arteriovenous malformations classifications: a surgical point of view. In: Trends in Cerebrovascular Surgery and Interventions. 2021, pp. 101–106.
5. Mohr, J., A. J. Moskowitz, C. Stapf, A. Hartmann, K. Lord, S. M. Marshall, et al. The ARUBA trial: current status, future hopes. Stroke 41(8):e537–e540, 2010.
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