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Designing lightweight deep learning models for echocardiography view classification.

, , , , , , , , , , , and . Medical Imaging: Image-Guided Procedures, volume 10951 of SPIE Proceedings, page 109510F. SPIE, (2019)

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Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation., , , , , , and . ASMUS@MICCAI, volume 12967 of Lecture Notes in Computer Science, page 139-148. Springer, (2021)Echocardiography Segmentation by Quality Translation Using Anatomically Constrained CycleGAN., , , , , , , and . MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 655-663. Springer, (2019)Frame Rate Up-Conversion in Echocardiography Using a Conditioned Variational Autoencoder and Generative Adversarial Model., , , , , and . MICCAI (2), volume 11765 of Lecture Notes in Computer Science, page 705-713. Springer, (2019)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)Automatic biplane left ventricular ejection fraction estimation with mobile point-of-care ultrasound using multi-task learning and adversarial training., , , , , , , and . Int. J. Comput. Assist. Radiol. Surg., 14 (6): 1027-1037 (2019)A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data., , , , , , , , , and 1 other author(s). DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 29-37. Springer, (2018)Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography., , , , , , , , , and . DLMIA/ML-CDS@MICCAI, volume 11045 of Lecture Notes in Computer Science, page 65-73. Springer, (2018)Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss., , , , , , , , , and 1 other author(s). IEEE Trans. Medical Imaging, 38 (8): 1821-1832 (2019)On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment., , , , , , , , and . IEEE Trans. Medical Imaging, 39 (6): 1868-1883 (2020)Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms., , , , , , , , , and . Comput. methods Biomech. Biomed. Eng. Imaging Vis., 8 (5): 502-508 (2020)