Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation

Corral Acero, J, Xu, H, Zacur, E et al. (4 more authors) (2020) Left Ventricle Quantification with Cardiac MRI: Deep Learning Meets Statistical Models of Deformation. In: Lecture Notes in Computer Science. STACOM 2019: Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 13 Oct 2019, Shenzen, China. Springer Verlag , pp. 384-394. ISBN 9783030390730

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Copyright, Publisher and Additional Information: © Springer Nature Switzerland AG 2020. This is an author produced version of a conference paper published in Lecture Notes in Computer Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Deep learning; Data augmentation; LV quantification
Dates:
  • Published: 23 January 2020
  • Accepted: 11 August 2019
  • Published (online): 23 January 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM) > Biomedical Imaging Science Dept (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 17 Apr 2020 12:25
Last Modified: 24 Apr 2020 10:07
Status: Published
Publisher: Springer Verlag
Identification Number: https://doi.org/10.1007/978-3-030-39074-7_40

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