Delaram Behnami
According to our database1,
Delaram Behnami
authored at least 11 papers
between 2016 and 2020.
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Bibliography
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
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
End-To-End Vertebra Localization and Level Detection in Weakly Labelled 3D Spinal Mr using Cascaded Neural Networks.
Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 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
Model-based registration of preprocedure MR and intraprocedure US of the lumbar spine.
Int. J. Comput. Assist. Radiol. Surg., 2017
2016
Joint registration of ultrasound, CT and a shape+pose statistical model of the lumbar spine for guiding anesthesia.
Int. J. Comput. Assist. Radiol. Surg., 2016