Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes-Reference-Cited by-同舟云学术

Deep learning model to quantify left atrium volume on routine non-contrast chest CT and predict adverse outcomes

Published:2021-12 Issue: Volume: Page:
ISSN:1934-5925
Container-title:Journal of Cardiovascular Computed Tomography
language:en
Short-container-title:Journal of Cardiovascular Computed Tomography

Author:

Aquino Gilberto J.^ORCID,Chamberlin Jordan^ORCID,Mercer Megan,Kocher Madison,Kabakus Ismail,Akkaya Selcuk^ORCID,Fiegel Matthew^ORCID,Brady Sean^ORCID,Leaphart Nathan,Dippre Andrew^ORCID,Giovagnoli Vincent^ORCID,Yacoub Basel^ORCID,Jacob Athira^ORCID,Gulsun Mehmet Akif,Sahbaee Pooyan,Sharma Puneet,Waltz Jeffrey^ORCID,Schoepf U. Joseph,Baruah Dhiraj^ORCID,Emrich Tilman^ORCID,Zimmerman Stefan,Field Michael E.^ORCID,Agha Ali M.,Burt Jeremy R.^ORCID

Funder

Boston Scientific Corporation

Medtronic

Biosense Webster

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference19 articles.

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