RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function-Reference-Cited by-同舟云学术

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RVENet: A Large Echocardiographic Dataset for the Deep Learning-Based Assessment of Right Ventricular Function

Published:2023 Issue: Volume: Page:569-583
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Magyar Bálint,Tokodi Márton,Soós András,Tolvaj Máté,Lakatos Bálint Károly,Fábián Alexandra,Surkova Elena,Merkely Béla,Kovács Attila,Horváth András

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-25066-8_33

Reference23 articles.

1. Akkus, Z., et al.: Artificial intelligence (AI)-empowered echocardiography interpretation: A state-of-the-art review. J. Clin. Med. 10(7), 1391 (2021)

2. Alsharqi, M., Woodward, W., Mumith, J., Markham, D., Upton, R., Leeson, P.: Artificial intelligence and echocardiography. Echo Res. Pract. 5(4), R115–R125 (2018)

3. Bernard, O., et al.: Standardized evaluation system for left ventricular segmentation algorithms in 3D echocardiography. IEEE Trans. Med. Imaging 35(4), 967–977 (2015)

4. Chen, Y., Zhang, X., Haggerty, C.M., Stough, J.V.: Assessing the generalizability of temporally coherent echocardiography video segmentation. In: Medical Imaging 2021: Image Processing, vol. 11596, pp. 463–469, SPIE (2021)

5. Folland, E., Parisi, A., Moynihan, P., Jones, D.R., Feldman, C.L., Tow, D.: Assessment of left ventricular ejection fraction and volumes by real-time, two-dimensional echocardiography. A comparison of cineangiographic and radionuclide techniques. Circulation 60(4), 760–766 (1979)

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning-Based Prediction of Right Ventricular Ejection Fraction Using 2D Echocardiograms;JACC: Cardiovascular Imaging;2023-08

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