Deep convolutional neural networks to predict cardiovascular risk from computed tomography

Coronary artery calcium is an accurate predictor of cardiovascular events but this information is not routinely quantified. Here the authors show a robust and time-efficient deep learning system to automatically quantify coronary calcium on CT scans and predict cardiovascular events in a large, mult...

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Autores principales:	Roman Zeleznik, Borek Foldyna, Parastou Eslami, Jakob Weiss, Ivanov Alexander, Jana Taron, Chintan Parmar, Raza M. Alvi, Dahlia Banerji, Mio Uno, Yasuka Kikuchi, Julia Karady, Lili Zhang, Jan-Erik Scholtz, Thomas Mayrhofer, Asya Lyass, Taylor F. Mahoney, Joseph M. Massaro, Ramachandran S. Vasan, Pamela S. Douglas, Udo Hoffmann, Michael T. Lu, Hugo J. W. L. Aerts
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/81f5a66b63fb4263b0d804c5ab0e5cbe
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

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spelling	oai:doaj.org-article:81f5a66b63fb4263b0d804c5ab0e5cbe2021-12-02T13:57:43ZDeep convolutional neural networks to predict cardiovascular risk from computed tomography10.1038/s41467-021-20966-22041-1723https://doaj.org/article/81f5a66b63fb4263b0d804c5ab0e5cbe2021-01-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-20966-2https://doaj.org/toc/2041-1723Coronary artery calcium is an accurate predictor of cardiovascular events but this information is not routinely quantified. Here the authors show a robust and time-efficient deep learning system to automatically quantify coronary calcium on CT scans and predict cardiovascular events in a large, multicentre study.Roman ZeleznikBorek FoldynaParastou EslamiJakob WeissIvanov AlexanderJana TaronChintan ParmarRaza M. AlviDahlia BanerjiMio UnoYasuka KikuchiJulia KaradyLili ZhangJan-Erik ScholtzThomas MayrhoferAsya LyassTaylor F. MahoneyJoseph M. MassaroRamachandran S. VasanPamela S. DouglasUdo HoffmannMichael T. LuHugo J. W. L. AertsNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-9 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Roman Zeleznik Borek Foldyna Parastou Eslami Jakob Weiss Ivanov Alexander Jana Taron Chintan Parmar Raza M. Alvi Dahlia Banerji Mio Uno Yasuka Kikuchi Julia Karady Lili Zhang Jan-Erik Scholtz Thomas Mayrhofer Asya Lyass Taylor F. Mahoney Joseph M. Massaro Ramachandran S. Vasan Pamela S. Douglas Udo Hoffmann Michael T. Lu Hugo J. W. L. Aerts Deep convolutional neural networks to predict cardiovascular risk from computed tomography
description	Coronary artery calcium is an accurate predictor of cardiovascular events but this information is not routinely quantified. Here the authors show a robust and time-efficient deep learning system to automatically quantify coronary calcium on CT scans and predict cardiovascular events in a large, multicentre study.
format	article
author	Roman Zeleznik Borek Foldyna Parastou Eslami Jakob Weiss Ivanov Alexander Jana Taron Chintan Parmar Raza M. Alvi Dahlia Banerji Mio Uno Yasuka Kikuchi Julia Karady Lili Zhang Jan-Erik Scholtz Thomas Mayrhofer Asya Lyass Taylor F. Mahoney Joseph M. Massaro Ramachandran S. Vasan Pamela S. Douglas Udo Hoffmann Michael T. Lu Hugo J. W. L. Aerts
author_facet	Roman Zeleznik Borek Foldyna Parastou Eslami Jakob Weiss Ivanov Alexander Jana Taron Chintan Parmar Raza M. Alvi Dahlia Banerji Mio Uno Yasuka Kikuchi Julia Karady Lili Zhang Jan-Erik Scholtz Thomas Mayrhofer Asya Lyass Taylor F. Mahoney Joseph M. Massaro Ramachandran S. Vasan Pamela S. Douglas Udo Hoffmann Michael T. Lu Hugo J. W. L. Aerts
author_sort	Roman Zeleznik
title	Deep convolutional neural networks to predict cardiovascular risk from computed tomography
title_short	Deep convolutional neural networks to predict cardiovascular risk from computed tomography
title_full	Deep convolutional neural networks to predict cardiovascular risk from computed tomography
title_fullStr	Deep convolutional neural networks to predict cardiovascular risk from computed tomography
title_full_unstemmed	Deep convolutional neural networks to predict cardiovascular risk from computed tomography
title_sort	deep convolutional neural networks to predict cardiovascular risk from computed tomography
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/81f5a66b63fb4263b0d804c5ab0e5cbe
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Deep convolutional neural networks to predict cardiovascular risk from computed tomography

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