ESC 365 - Deep learning-based plaque quantification from coronary computed tomography angiography: external validation and comparison with intravascular ultrasound

ESC Premium Access

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

Session: Highlights from the Young: artificial intelligence in imaging

Topic: Plaque Imaging

Speaker: Doctor A. Lin (Clayton, AU)

Event: ESC Congress 2021 - The Digital Experience

Congress Presentation

Add to my library

About the speaker

Doctor Andrew Lin

Victorian Heart Hospital, Clayton (Australia)

0 follower

2 more presentations in this session

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)

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

Speaker: Doctor H. West (Oxford, GB)

Access the full session

Highlights from the Young: artificial intelligence in imaging

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

About the event

ESC Congress 2021 - The Digital Experience

27 August - 30 August 2021

Sessions Presentations

Congress

ESC 365 is supported by

Explore sponsored resources

Explore sponsored resources