most citedAutomated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

cs.CV2025★ 1 cited

Automated Labeling of Intracranial Arteries with Uncertainty Quantification Using Deep Learning

Javier Bisbal, Patrick Winter, Sebastian Jofre +10

Accurate anatomical labeling of intracranial arteries is essential for cerebrovascular diagnosis and hemodynamic analysis but remains time-consuming and subject to interoperator va…

eess.IV2025

Potential and challenges of generative adversarial networks for super-resolution in 4D Flow MRI

Oliver Welin Odeback, Arivazhagan Geetha Balasubramanian, Jonas Schollenberger +9

4D Flow Magnetic Resonance Imaging (4D Flow MRI) enables non-invasive quantification of blood flow and hemodynamic parameters. However, its clinical application is limited by low s…