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Open Heart
(Mar 2022)
Interoperator reliability of an on-site machine learning-based prototype to estimate CT angiography-derived fractional flow reserve
Mouaz H Al-Mallah,
Yushui Han,
Ahmed Ibrahim Ahmed,
Chris Schwemmer,
Myra Cocker,
Talal S Alnabelsi,
Jean Michel Saad,
Juan C Ramirez Giraldo
Affiliations
Mouaz H Al-Mallah
5 King Abdullah International Medical Research Center, King AbdulAziz Cardiac Center, Riyadh, Saudi Arabia
Yushui Han
Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA
Ahmed Ibrahim Ahmed
Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA
Chris Schwemmer
Computed Tomography-Research & Development, Siemens Healthcare GmbH, Erlangen, Bayern, Germany
Myra Cocker
Computed Tomography-Research Collaborations, Siemens Healthcare USA, Malvern, Pennsylvania, USA
Talal S Alnabelsi
Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA
Jean Michel Saad
Debakey Heart & Vascular Center, Houston Methodist Hospital, Houston, Texas, USA
Juan C Ramirez Giraldo
Computed Tomography-Research Collaborations, Siemens Healthcare USA, Malvern, Pennsylvania, USA
DOI
https://doi.org/10.1136/openhrt-2021-001951
Journal volume & issue
Vol. 9, no. 1
Abstract
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No abstracts available.
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