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Automated recognition of regional wall motion abnormalities by deep neural network interpretation of echocardiography

3 September 2019 (09:51 - 10:00)
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Congress Presentation Part of: Advanced applications of cardiac strain imaging Technology ESC Premium Access ESC Congress 2019

About the speaker

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Doctor Mu Shiang Huang

National Cheng Kung University Hospital, Tainan (Taiwan)

9 More presentations in this session

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Comparison of left ventricular global longitudinal strain measurements using contrast-enhanced and non-contrast echocardiographic images
Ms S. Liang (Beijing, CN)
Abstract Slides Video
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Biventricular global and regional strain measured by cardiovascular magnetic resonance based tissue tracking
Miss Y. Qu (Nanjing, CN)
Abstract Slides Video
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Prognostic influence of MDCT-derived global left ventricular longitudinal strain in patients with aortic stenosis treated with transcatheter aortic valve implantation
Doctor T. Gegenava (Tbilisi, GE)
Abstract Slides Video
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Cardiac magnetic resonance strain analysis predicts functional recovery following acute ST-segment elevation myocardial infarction
Doctor F. Valente (Barcelona, ES)
Abstract Slides Video
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Global longitudinal strain by feature tracking predicts adverse remodeling in ST-elevation myocardial infarction incremental to
Doctor S. Reinstadler (Innsbruck, AT)
Abstract Slides Video

Access the full session

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Advanced applications of cardiac strain imaging

The Event

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ESC Congress 2019

3 September 2019 09:51 CET
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ESC 365 is supported by

novartis Explore sponsored resources