Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI-Reference-Cited by-同舟云学术

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Left Atrial Ejection Fraction Estimation Using SEGANet for Fully Automated Segmentation of CINE MRI

Published:2021 Issue: Volume: Page:137-145
ISSN:0302-9743
Container-title:Statistical Atlases and Computational Models of the Heart. M&Ms and EMIDEC Challenges
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Author:

Lourenço Ana,Kerfoot Eric,Dibblin Connor,Alskaf Ebraham,Anjari Mustafa,Bharath Anil A.,King Andrew P.,Chubb Henry,Correia Teresa M.,Varela Marta

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-68107-4_14

Reference14 articles.

1. Chen, C., et al.: Deep learning for cardiac image segmentation: A review. arXiv (2019)

2. Lecture Notes in Computer Science;C Chen,2019

3. Chubb, H., et al.: The reproducibility of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study. J. Cardiovasc. Magn. Reson. 20(1), 21 (2018). https://doi.org/10.1186/s12968-018-0438-y

4. Erbel, R., et al.: Comparison of single-plane and biplane volume determination by two-dimensional echocardiography 1. Asymmetric model hearts*. Eur. Heart J. 3(5), 469–480 (1982)

5. Ganesan, A.N., et al.: Long-term outcomes of catheter ablation of atrial fibrillation: a systematic review and meta-analysis. J. Am. Heart Assoc. 2(2), e004549 (2013)

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