Automatic estimation of the aortic lumen geometry by ellipse tracking

Author:

Tahoces Pablo G.ORCID,Alvarez LuisORCID,González Esther,Cuenca Carmelo,Trujillo Agustín,Santana-Cedrés Daniel,Esclarín Julio,Gomez Luis,Mazorra Luis,Alemán-Flores Miguel,Carreira José M.

Funder

Secretaría de Estado de Investigación, Desarrollo e Innovación

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,General Medicine,Surgery,Computer Graphics and Computer-Aided Design,Computer Science Applications,Computer Vision and Pattern Recognition,Biomedical Engineering

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2. Segment aorta and localize landmarks simultaneously on noncontrast CT using a multitask learning framework for patients without severe vascular disease;Computers in Biology and Medicine;2023-06

3. A Survey on the Progress of Computer-Assisted Vascular Intervention;Journal of Computer-Aided Design & Computer Graphics;2022-07-01

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