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Automatic quality assessment of apical four-chamber echocardiograms using deep convolutional neural networks.

, , , , , , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330S. SPIE, (2017)

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Cardiac point-of-care to cart-based ultrasound translation using constrained CycleGAN., , , , , , , , , and 4 other author(s). Int. J. Comput. Assist. Radiol. Surg., 15 (5): 877-886 (2020)Simultaneous Analysis of 2D Echo Views for Left Atrial Segmentation and Disease Detection., , , , , , , , , and 2 other author(s). IEEE Trans. Medical Imaging, 36 (1): 40-50 (2017)Automatic quality assessment of apical four-chamber echocardiograms using deep convolutional neural networks., , , , , , , , , and 2 other author(s). Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101330S. SPIE, (2017)Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View., , , , , , , , , and 2 other author(s). IEEE Trans. Medical Imaging, 36 (6): 1221-1230 (2017)Correction to Äutomatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View"., , , , , , , , , and 2 other author(s). IEEE Trans. Medical Imaging, 36 (9): 1992 (2017)Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms., , , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 100-108. Springer, (2017)Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes., , , , , , , , and . MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 302-310. Springer, (2017)