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Using deep learning to extract novel and quantitative imaging features from perfluoropropane contrast, sulphur hexafluoride contrast and non-contrast stress echocardiography images

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Mr Cameron Dockerill

King's College London, London (United Kingdom of Great Britain & Northern Ireland)
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6 more presentations in this session

Unsupervised machine learning generated clusters of left ventricular strain curves identifies patients in risk of heart failure and cardiovascular death following acute myocardial infarction

Speaker: Mr J. Simonsen (Copenhagen S, DK)


Artificial intelligence-guided image acquisition on patients with implanted electrophysiological devices: Results from a pivotal prospective multi-center clinical trial

Speaker: Mr S. Surette (Brisbane, US)


Hemodynamic heterogeneity of inadequate cardiac output increase identified by 2-dimensional volumetric exercise echocardiography: slow, stiff or weak heart?

Speaker: Doctor T. Bombardini (Banja Luka, BA)


Feasibility, reproducibility, and clinical implications of the fully automated assessment for global longitudinal strain.

Speaker: Doctor H. Kawakami (Toon, JP)


Fully automated contrast and non-contrast cardiac view detection in echocardiography a multi-centre, multi-vendor study

Speaker: Doctor A. Beqiri (Oxford, GB)


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Novel Technological Approaches in Echocardiography: What Do They Provide?

Speakers: Mr C. Dockerill, Mr J. Simonsen, Mr S. Surette, Doctor T. Bombardini, Doctor H. Kawakami...

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ESC Congress 2020

29 August - 1 September 2020

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ESC 365 is supported by

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