AI-based prediction of transvalvular pressure gradients in aortic stenosis

Pavlo Yevtushenko, Jan Bruning

doi:10.5281/zenodo.8164372

Published July 19, 2023 | Version v1

Journal article Open

AI-based prediction of transvalvular pressure gradients in aortic stenosis

Pavlo Yevtushenko, Jan Bruning¹

1. Charité

SIMCor (In-Silico testing and validation of Cardiovascular IMplantable devices) has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 101017578.

Files

ESB2023_pre-course-series_II_3-AI-based-prediction-of-transvalvular-pressure-gradients-in-aortic-stenosis.pdf

Files (2.3 MB)

Name	Size
ESB2023_pre-course-series_II_3-AI-based-prediction-of-transvalvular-pressure-gradients-in-aortic-stenosis.pdf md5:37999f83c134bb4aa3f8313936123a16	2.3 MB	Preview Download

Additional details

European Commission
SIMCOR - In Silico testing and validation of Cardiovascular Implantable devices 101017578

Views

122

Downloads

Show more details

	All versions	This version
Views	78	78
Downloads	122	122
Data volume	284.8 MB	284.8 MB

More info on how stats are collected....

DOI

Resource type

Journal article

Publisher

Zenodo

License: Creative Commons Attribution 4.0 International

The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more

Technical metadata

Created: July 19, 2023
Modified: July 11, 2024

AI-based prediction of transvalvular pressure gradients in aortic stenosis

Authors/Creators

Description

Files

ESB2023_pre-course-series_II_3-AI-based-prediction-of-transvalvular-pressure-gradients-in-aortic-stenosis.pdf

Files (2.3 MB)

Additional details

Funding