Christina Luong
Orcid: 0000-0002-7514-6069Affiliations:
- University of British Columbia, Vancouver, Canada
- Vancouver General Hospital, Echocardiography Laboratory, Canada
According to our database1,
Christina Luong
authored at least 28 papers
between 2017 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
2022
IEEE Trans. Medical Imaging, 2022
A light-weight deep video network: towards robust assessment of ejection fraction on mobile devices.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
An efficient deep landmark detection network for PLAX EF estimation using sparse annotations.
Proceedings of the Medical Imaging 2022: Image-Guided Procedures, 2022
Differential Learning from Sparse and Noisy Labels for Robust Detection of Clinical Landmarks in Echo Cine Series.
Proceedings of the Simplifying Medical Ultrasound - Third International Workshop, 2022
DEUE: Delta Ensemble Uncertainty Estimation for a More Robust Estimation of Ejection Fraction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2021
IEEE Trans. Medical Imaging, 2021
Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation.
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Proceedings of the Simplifying Medical Ultrasound - Second International Workshop, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Echo-Rhythm Net: Semi-Supervised Learning For Automatic Detection of Atrial Fibrillation in Echocardiography.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Automatic cine-based detection of patients at high risk of heart failure with reduced ejection fraction in echocardiograms.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2020
Cardiac point-of-care to cart-based ultrasound translation using constrained CycleGAN.
Int. J. Comput. Assist. Radiol. Surg., 2020
A Deep Bayesian Video Analysis Framework: Towards a More Robust Estimation of Ejection Fraction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
2019
Cardiac Phase Detection in Echocardiograms With Densely Gated Recurrent Neural Networks and Global Extrema Loss.
IEEE Trans. Medical Imaging, 2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Dual-View Joint Estimation of Left Ventricular Ejection Fraction with Uncertainty Modelling in Echocardiograms.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
2018
Quantitative Echocardiography: Real-Time Quality Estimation and View Classification Implemented on a Mobile Android Device.
Proceedings of the Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation, 2018
A Unified Framework Integrating Recurrent Fully-Convolutional Networks and Optical Flow for Segmentation of the Left Ventricle in Echocardiography Data.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
Automatic Detection of Patients with a High Risk of Systolic Cardiac Failure in Echocardiography.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018
2017
Correction to "Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View".
IEEE Trans. Medical Imaging, 2017
Automatic Quality Assessment of Echocardiograms Using Convolutional Neural Networks: Feasibility on the Apical Four-Chamber View.
IEEE Trans. Medical Imaging, 2017
Automatic quality assessment of apical four-chamber echocardiograms using deep convolutional neural networks.
Proceedings of the Medical Imaging 2017: Image Processing, 2017
Deep Residual Recurrent Neural Networks for Characterisation of Cardiac Cycle Phase from Echocardiograms.
Proceedings of the Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support, 2017
Quality Assessment of Echocardiographic Cine Using Recurrent Neural Networks: Feasibility on Five Standard View Planes.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017