Unsupervised machine learning for risk stratification and identification of relevant subgroups of ascending aorta dimensions using cardiac CT and clinical data
Author:
Funder
Ministero della Salute
Publisher
Elsevier BV
Subject
Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology
Reference24 articles.
1. Ascending aorta diameters measured by echocardiography using both leading edge-to-leading edge and inner edge-to-inner edge conventions in healthy volunteers;Muraru;Eur Heart J Cardiovasc Imaging,2014
2. Aortic size distribution in the general population: explaining the size paradox in aortic dissection;Parachuri;Cardiology,2015
3. Differences in aortic diameter measurements with intravascular ultrasound and computed tomography after blunt traumatic aortic injury;Ceja-Rodriguez;Ann Vasc Surg,2018
4. Thoracic aortic size in Brazilian smokers: measures using low-dose chest computed tomography anatomical and epidemiological assessment;Lembrança;Ann Vasc Surg,2021
5. Thoracic aortic aneurysm: optimal surveillance and treatment;Wang;Clevel Clin J Med,2020
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