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Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View.

A. Abdi, C. Luong, T. Tsang, G. Allan, S. Nouranian, J. Jue, D. Hawley, S. Fleming, K. Gin, J. Swift, R. Rohling, and P. Abolmaesumi. IEEE Trans. Medical Imaging, 36 (6): 1221-1230 (2017)

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Ken Lau

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Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View.A. Abdi, C. Luong, T. Tsang, G. Allan, S. Nouranian, J. Jue, D. Hawley, S. Fleming, K. Gin, J. Swift and 2 other author(s). IEEE Trans. Medical Imaging, 36 (6): 1221-1230 (2017)Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography.F. Dezaki, T. Ginsberg, C. Luong, H. Vaseli, R. Rohling, K. Gin, P. Abolmaesumi, and T. Tsang. ISBI, page 110-113. IEEE, (2021)On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra-observer Variability in 2D Echocardiography Quality Assessment.Z. Liao, H. Girgis, A. Abdi, H. Vaseli, J. Hetherington, R. Rohling, K. Gin, T. Tsang, and P. Abolmaesumi. CoRR, (2019)Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms.D. Behnami, Z. Liao, H. Girgis, C. Luong, R. Rohling, K. Gin, T. Tsang, and P. Abolmaesumi. MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 696-704. Springer, (2019)Correction to Äutomatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View".A. Abdi, C. Luong, T. Tsang, G. Allan, S. Nouranian, J. Jue, D. Hawley, S. Fleming, K. Gin, J. Swift and 2 other author(s). IEEE Trans. Medical Imaging, 36 (9): 1992 (2017)Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model.F. Dezaki, H. Girgis, R. Rohling, K. Gin, P. Abolmaesumi, and T. Tsang. MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 705-713. Springer, (2019)Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes.A. Abdi, C. Luong, T. Tsang, J. Jue, K. Gin, D. Yeung, D. Hawley, R. Rohling, and P. Abolmaesumi. MICCAI (3), volume 10435 of Lecture Notes in Computer Science, page 302-310. Springer, (2017)Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN.M. Jafari, Z. Liao, H. Girgis, M. Pesteie, R. Rohling, K. Gin, T. Tsang, and P. Abolmaesumi. MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 655-663. Springer, (2019)Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms.F. Dezaki, N. Dhungel, A. Abdi, C. Luong, T. Tsang, J. Jue, K. Gin, D. Hawley, R. Rohling, and P. Abolmaesumi. DLMIA/ML-CDS@MICCAI, volume 10553 of Lecture Notes in Computer Science, page 100-108. Springer, (2017)Simultaneous Analysis of 2D Echo Views for Left Atrial Segmentation and Disease Detection.G. Allan, S. Nouranian, T. Tsang, A. Seitel, M. Mirian, J. Jue, D. Hawley, S. Fleming, K. Gin, J. Swift and 2 other author(s). IEEE Trans. Medical Imaging, 36 (1): 40-50 (2017)

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Disambiguation of "Gin, Ken"

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Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View.

Please choose a person to relate this publication to

Ken Lau

Ken Endo

Ken Herrmann

Ken Heydolph

Ken Eckstein

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Gin, Ken"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View.

Please choose a person to relate this publication to

Ken Lau

Ken Endo

Ken Herrmann

Ken Heydolph

Ken Eckstein

Other publications of authors with the same name

Disambiguation

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URL
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Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View.