ESC 365 - Automated quantification of epicardial adipose tissue on CCTA via deep-learning detection of the pericardium: clinical implications

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Automated quantification of epicardial adipose tissue on CCTA via deep-learning detection of the pericardium: clinical implications

Session: Highlights from the Young: artificial intelligence in imaging

Topic: Coronary Computed Tomography Angiography (Coronary CTA, CCTA)

Speaker: Doctor H. West (Oxford, GB)

Event: ESC Congress 2021 - The Digital Experience

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Doctor Henry West

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

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2 more presentations in this session

Deep learning-based plaque quantification from coronary computed tomography angiography: external validation and comparison with intravascular ultrasound

Speaker: Doctor A. Lin (Clayton, AU)

Low endothelial shear stress, microcalcification activity and high-risk plaque features: Merging computational flow modelling, OCT and 18F-NaF PET/CT

Speaker: Associate Professor B. Doyle (Perth, AU)

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Highlights from the Young: artificial intelligence in imaging

Speakers: Doctor H. West, Doctor A. Lin, Associate Professor B. Doyle

About the event

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

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