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Automated echocardiographic left ventricular strain measurements using deep learning

11 December 2020 (00:00 - 00:00)
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Congress Presentation Part of: Live Abstract Presentations - Artificial intelligence Tissue Doppler, Speckle Tracking and Strain Imaging EACVI Premium Access EACVI - Best of Imaging 2020

About the speaker

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Mr Magnus Rogstadkjernet

University of Oslo, Oslo (Norway)

9 More presentations in this session

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Validation of an artificial intelligence-based tool for automated evaluation of RV size and function from ultrasound examinations
Professor A. DeMaria (La Jolla, US)
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Myocardial deformation imaging in early prediction of heart failure development after STEMI is better than conventional echocardiography: true or false?
Assistant Professor D. Trifunovic Zamaklar (Belgrade, RS)
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Echocardiographic phenotyping of the continuum of myocardial functional remodelling in left ventricular hypertrophy - machine learning validated with cardiac magnetic resonance
Doctor F. Loncaric (Zagreb, HR)
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Prediction of coronary artery disease in positron emission tomography using machine learning algorithms with clinical data and calcium score
Doctor O. Clerc (Boston, US)
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Prediction of impaired myocardial blood flow (MBF) with the use of machine learning techniques on CTCA based parameters
Mr P. Kafouris (Athens, GR)
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Access the full session

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Live Abstract Presentations - Artificial intelligence

The Event

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EACVI - Best of Imaging 2020

11 December - 12 December 2020

ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources