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A machine-learning CMR approach to extract disease features and automate pulmonary arterial hypertension diagnosis

2 May 2019 (00:00 - 00:00)
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Congress Presentation Part of: Abstract session 4: latest advances in CMR technology and safety Technology and Physics EACVI Premium Access EuroCMR 2019

About the speaker

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Doctor Andrew James Swift

University of Sheffield, Sheffield (United Kingdom of Great Britain & Northern Ireland)

3 More presentations in this session

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Longitudinal changes in diffusion tensor imaging parameters following acute ST-elevation myocardial infarction
Doctor A. Das (Leeds, GB)
Abstract Slides Video
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The safety of cardiac magnetic resonance imaging in patients with implantable cardiac devices compatible and non-compatible with MRI
Doctor M. Janus (Poznan, PL)
Abstract Slides Video
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18F-sodium fluoride positron emission tomography-magnetic resonance in valvular and coronary artery disease; a validation study with positron emission tomography-computerised tomograph
Slides Video

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Abstract session 4: latest advances in CMR technology and safety

The Event

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EuroCMR 2019

2 May - 4 May 2019
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ESC 365 is supported by

novartis Explore sponsored resources

ESC 365 is supported by

novartis Explore sponsored resources