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A deep learning-based and fully automated pipeline for thoracic aorta geometric analysis and TEVAR planning from computed tomography

11 December 2020 (19:29 - 19:35)
Organised by:
Congress Presentation Part of: Live Abstract Presentations - Computed tomography Extracardiac Findings EACVI Premium Access EACVI - Best of Imaging 2020

About the speaker

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Mr Simone Saitta

Milan Polytechnic, Milan (Italy)

8 More presentations in this session

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Comparison of imaging vs. plasma biomarkers of vascular inflammation for cardiovascular prognostication: a meta-analysis
Doctor A. Antonopoulos (Athens, GR)
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Semi-automatic quantification of aortic root progressive dilation by automatic co-registration of computed tomography angiograms: a preliminary comparison with manual assessment in Marfan patients
Doctor L. Dux-Santoy (Barcelona, ES)
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Calcium score of the aortic valve as a predictor of aortic stenosis severity
Doctor G. Sa Mendes (Evora, PT)
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Functional DSCT assessment of tricuspid regurgitation: AROA reproducibility and comparison with 3D TEE
Doctor B. Lopes (Minneapolis, US)
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Computed tomography for the prediction of structural valve deterioration in patients undergoing transcatheter aortic valve implantation
Doctor M. Guglielmo (Utrecht, NL)
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Access the full session

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Live Abstract Presentations - Computed tomography

The Event

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EACVI - Best of Imaging 2020

11 December 2020 19:29 CET
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ESC 365 is supported by

novartis Explore sponsored resources
novo-nordisk Explore sponsored resources