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Automated detection of mitral annular plane systolic excursion in transoesophageal echocardiography based on deep learning

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Mr Erik Andreas Rye Berg

Norwegian University of Science and Technology, Trondheim (Norway)
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9 more presentations in this session

Panel of experts:.

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Optimized multiparametric analysis of cardiac dyssynchrony: machine learning and prediction of response to cardiac resynchronization therapy based of the apical 4-chamber view

Speaker: Doctor A. Hubert (Rennes, FR)

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Assessment of left ventricular ejection fraction from echocardiographic images using machine learning algorithm

Speaker: Ms N. Yamaguchi (Tokushima, JP)

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Turning novices into experts: can artificial intelligence transform echocardiography training?

Speaker: Doctor M. De Craene (Suresnes, FR)

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Non-invasive risk assessment of the left atrial appendage thrombosis using deep learning methods

Speaker: Mr A. Suvorov (Moscow, RU)

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Access the full session

Artificial intelligence, deep-learning, 3D printing...what is the future of imaging?

Speakers: Mr E. Berg, Doctor A. Hubert, Ms N. Yamaguchi, Doctor M. De Craene, Mr A. Suvorov
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EuroEcho 2019

4 December - 7 December 2019

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