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Doctor Vegard Holmstrom

Norwegian University of Science and Technology, Trondheim (Norway)
Membership: ESC Professional Member EACVI Member
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Real-time deep learning echocardiographic global longitudinal strain improves agreement with cardiac magnetic resonance feature tracking compared to a conventional workflow
Presentation
Real-time deep learning echocardiographic global longitudinal strain improves agreement with cardiac magnetic resonance feature tracking compared to a conventional workflow
Deep learning–based right ventricular free wall longitudinal strain predicts mortality in an unselected clinical cohort
Presentation
Deep learning–based right ventricular free wall longitudinal strain predicts mortality in an unselected clinical cohort
Real-time deep learning-based tracking assistance during acquisition improves image quality for right ventricular strain assessment
Presentation
Real-time deep learning-based tracking assistance during acquisition improves image quality for right ventricular strain assessment
Deep learning in echocardiography: Fully automated B-mode MAPSE measurements in real-time
Presentation
Deep learning in echocardiography: Fully automated B-mode MAPSE measurements in real-time
Deep learning in echocardiography: real-time measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view
Presentation
Deep learning in echocardiography: real-time measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view
Deep learning for fully automated echocardiographic measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view
Presentation
Deep learning for fully automated echocardiographic measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view
Improving time-efficiency and accuracy in echocardiography: real-time automated measurements of left ventricular global longitudinal strain using deep learning
Presentation
Improving time-efficiency and accuracy in echocardiography: real-time automated measurements of left ventricular global longitudinal strain using deep learning