Automated estimation of echocardiogram image quality in hospitalized patients-Reference-Cited by-同舟云学术

Automated estimation of echocardiogram image quality in hospitalized patients

Published:2020-11-19 Issue:1 Volume:37 Page:229-239
ISSN:1569-5794
Container-title:The International Journal of Cardiovascular Imaging
language:en
Short-container-title:Int J Cardiovasc Imaging

Author:

Luong Christina,Liao Zhibin,Abdi Amir,Girgis Hany,Rohling Robert,Gin Kenneth,Jue John,Yeung Darwin,Szefer Elena,Thompson Darby,Tsang Michael Yin-Cheung,Lee Pui Kee,Nair Parvathy,Abolmaesumi Purang,Tsang Teresa S. M.

Funder

Canadian Institutes of Health Research

Natural Sciences and Engineering Research Council of Canada

Publisher

Springer Science and Business Media LLC

Subject

Cardiology and Cardiovascular Medicine,Radiology Nuclear Medicine and imaging

Link

http://link.springer.com/content/pdf/10.1007/s10554-020-01981-8.pdf

Reference29 articles.

1. Abdi A, Luong C, Tsang T, Jue J, Gin K, Yeung D, Hawley D, Rohling R, Abolmaesumi P (2017) Quality assessment of echocardiographic cine using recurrent neural networks: feasibility on five standard view planes. Paper presented at the Medical Image Computing and Computer-Assisted Intervention—MICCAI 2017, Lecture Notes in Computer Science, Springer, Cham

2. Abdi AH, Luong C, Tsang T, Allan G, Nouranian S, Jue J, Hawley D, Fleming S, Gin K, Swift J, Rohling R, Abolmaesumi P (2017) Automatic quality assessment of echocardiograms using convolutional neural networks: feasibility on the apical four-chamber view. IEEE Trans Med Imaging 36(6):1221–1230. https://doi.org/10.1109/TMI.2017.2690836

3. Narula S, Shameer K, Salem Omar AM, Dudley JT, Sengupta PP (2016) Machine-learning algorithms to automate morphological and functional assessments in 2D echocardiography. J Am Coll Cardiol 68(21):2287–2295. https://doi.org/10.1016/j.jacc.2016.08.062

4. Madani A, Arnaout R, Mo M, Arnaout R (2018) Fast and accurate view classification of echocardiograms using deep learning. npj Digital Med. https://doi.org/10.1038/s41746-017-0013-1

5. Sengupta PP, Huang YM, Bansal M, Ashrafi A, Fisher M, Shameer K, Gall W, Dudley JT (2016) Cognitive machine-learning algorithm for cardiac imaging: a pilot study for differentiating constrictive pericarditis from restrictive cardiomyopathy. Circ Cardiovasc Imaging. https://doi.org/10.1161/CIRCIMAGING.115.004330

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