Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View-Reference-Cited by-同舟云学术

Detecting Aortic Valve Pathology from the 3-Chamber Cine Cardiac MRI View

Published:2022 Issue: Volume: Page:571-580
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Vimalesvaran Kavitha^ORCID,Uslu Fatmatülzehra^ORCID,Zaman Sameer^ORCID,Galazis Christoforos,Howard James^ORCID,Cole Graham^ORCID,Bharath Anil A.^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16431-6_54

Reference16 articles.

1. Myerson, S.G.: CMR in evaluating valvular heart disease: diagnosis, severity, and outcomes. Cardiovasc. Imaging 14(10), 2020–2032 (2021)

2. Baumgartner, H.: What influences the outcome of valve replacement in critical aortic stenosis? Heart 91(10), 1254 (2005)

3. Thubrikar, M.: The Aortic Valve. Routledge, Abingdon (2018)

4. Howard, J.P., et al.: Automated analysis and detection of abnormalities in transaxial anatomical cardiovascular magnetic resonance images: a proof of concept study with potential to optimize image acquisition. Int. J. Cardiovasc. Imaging 37(3), 1033–1042 (2020). https://doi.org/10.1007/s10554-020-02050-w

5. Kramer, C.M., Barkhausen, J., Bucciarelli-Ducci, C., Flamm, S.D., Kim, R.J., Nagel, E.: Standardized cardiovascular magnetic resonance imaging (cmr) protocols: 2020 update. J. Cardiovasc. Magn. Reson. 22(1), 1–18 (2020)

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