Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases

Coastaliou, Quentin; Webster, Claire; Bicknell, Colin; Pouncey, Anna; Ducasse, Eric; Caradu, Caroline

doi:10.1016/j.ejvs.2024.04.004

European Journal of Vascular and Endovascular Surgery

2024

DOI: 10.1016/j.ejvs.2024.04.004

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Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases

Quentin Coastaliou,

Claire Webster,

Colin Bicknell

et al.

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Cited by 4 publications

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Artificial Intelligence Based Methods to Enhance Analysis of Non-Contrast Computed Tomography in Patients with Aortic Aneurysm

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Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases

Cited by 4 publications

References 5 publications

Artificial Intelligence Based Methods to Enhance Analysis of Non-Contrast Computed Tomography in Patients with Aortic Aneurysm

Artificial Intelligence Based Methods to Enhance Analysis of Non-Contrast Computed Tomography in Patients with Aortic Aneurysm

Addressing Queries on PRAEVAorta 2 Capabilities and Future Directions in Aortic Imaging

e-Health and environmental sustainability in vascular surgery

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