Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms-Reference-Cited by-同舟云学术

Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms

Published:2017 Issue: Volume: Page:100-108
ISSN:0302-9743
Container-title:Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
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Author:

Dezaki Fatemeh Taheri,Dhungel Neeraj,Abdi Amir H.,Luong Christina,Tsang Teresa,Jue John,Gin Ken,Hawley Dale,Rohling Robert,Abolmaesumi Purang

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-67558-9_12

Reference15 articles.

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4. Gifani, P., Behnam, H., Shalbaf, A., Sani, Z.A.: Automatic detection of end-diastole and end-systole from echocardiography images using manifold learning. Physiol. Meas. 31(9), 1091 (2010)

5. Darvishi, S., Behnam, H., Pouladian, M., Samiei, N.: Measuring left ventricular volumes in two-dimensional echocardiography image sequence using level-set method for automatic detection of end-diastole and end-systole frames. Res. Cardiovasc. Med. 2(1), 39 (2013)

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