March 28, 2024, 4:46 a.m. | Rafic Nader, Florent Autrusseau, Vincent L'Allinec, Romain Bourcier

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.18734v1 Announce Type: cross
Abstract: We hereby present a full synthetic model, able to mimic the various constituents of the cerebral vascular tree: the cerebral arteries, the bifurcations and the intracranial aneurysms. By building this model, our goal was to provide a substantial dataset of brain arteries which could be used by a 3D Convolutional Neural Network (CNN) to either segment or detect/recognize various vascular diseases (such as artery dissection/thrombosis) or even some portions of the cerebral vasculature, such as …

abstract aneurysm arxiv brain building cerebral cs.cv dataset detection eess.iv networks neural networks segmentation synthetic tree type via

Founding AI Engineer, Agents

@ Occam AI | New York

AI Engineer Intern, Agents

@ Occam AI | US

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne