A Deep Learning Approach to Visualise Aortic Aneurysm Morphology without the Use of Intravenous Contrast Agents-Reference-Cited by-同舟云学术

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A Deep Learning Approach to Visualise Aortic Aneurysm Morphology without the Use of Intravenous Contrast Agents

Published:2021-03-04 Issue: Volume:Publish Ahead of Print Page:
ISSN:0003-4932
Container-title:Annals of Surgery
language:en
Short-container-title:

Author:

Chandrashekar Anirudh,Handa Ashok,Lapolla Pierfrancesco,Shivakumar Natesh,Uberoi Raman,Grau Vicente,Lee Regent

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Surgery

Cited by 14 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. e-Health and environmental sustainability in vascular surgery;Seminars in Vascular Surgery;2024-09

2. Computational surgery in the management of patients with abdominal aortic aneurysms: Opportunities, challenges, and future directions;Seminars in Vascular Surgery;2024-09

3. Artificial Intelligence Based Methods to Enhance Analysis of Non-Contrast Computed Tomography in Patients with Aortic Aneurysm;European Journal of Vascular and Endovascular Surgery;2024-09

4. Artificial Intelligence With Deep Learning Enables Assessment of Aortic Aneurysm Diameter and Volume Through Different Computed Tomography Phases;European Journal of Vascular and Endovascular Surgery;2024-09

5. Künstliche Intelligenz in der Gefäßchirurgie;Gefässchirurgie;2024-03-25

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