Predicting Ejection Fractions from Echocardiogram Videos Using Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48465-0_29
Reference16 articles.
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2. Dezaki, F.T., et al.: Cardiac phase detection in echocardiograms with densely gated recurrent neural networks and global extrema loss. IEEE Trans. Med. Imaging 38(8), 1821–1832 (2019). https://doi.org/10.1109/TMI.2018.2888807
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4. Yanik, E., et al.: Deep neural networks for the assessment of surgical skills: a systematic review. J. Def. Model. Simul. 19(2), 159–171 (2022). https://doi.org/10.1177/15485129211034586
5. Lara Hernandez, K.A., Rienmüller, T., Baumgartner, D., Baumgartner, C.: Deep learning in spatiotemporal cardiac imaging: a review of methodologies and clinical usability. Comput. Biol. Med. 130, 104200 (2021). https://doi.org/10.1016/j.compbiomed.2020.104200
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