Supervised Machine-learning Model Using Multimodality Imaging for Prediction of Cardiovascular Event...
Supervised Machine-learning Model Using Multimodality Imaging for Prediction of Cardiovascular Events in Patients with Obstructive CAD Supervised Machine-learning Model Using Multimodality Imaging for Prediction of Cardiovascular Events in Patients with Obstructive CAD
About this item
Full title
Author / Creator
Theo Pezel, MD , Solenn Toupin, PhD , Valérie Bousson, MD, PhD , Kenza Hamzi, MSc , Thomas Hovasse, MD , Thierry Lefevre, MD , Bernard Chevalier, MD , Thierry Unterseeh, MD , Francesca Sanguineti, MD , Stephane Champagne, MD , Hakim Benamer, MD , Antoinette Neylon, MD , Mariama Akodad, MD , Tania Ah-Sing, MD , Lounis Hamzi, MD , Trecy Gonçalves, MD , Antoine Lequipar, MD , Emmanuel Gall, MD , Alexandre Unger, MSc , Jean Guillaume Dillinger, MD, PhD , Patrick Henry, MD, PhD , Philippe Garot, MD and Jérome Garot, MD, PhD
Publisher
Elsevier
Journal title
Language
English
Formats
Publication information
Publisher
Elsevier
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Alternative Titles
Full title
Supervised Machine-learning Model Using Multimodality Imaging for Prediction of Cardiovascular Events in Patients with Obstructive CAD Supervised Machine-learning Model Using Multimodality Imaging for Prediction of Cardiovascular Events in Patients with Obstructive CAD
Authors, Artists and Contributors
Author / Creator
Solenn Toupin, PhD
Valérie Bousson, MD, PhD
Kenza Hamzi, MSc
Thomas Hovasse, MD
Thierry Lefevre, MD
Bernard Chevalier, MD
Thierry Unterseeh, MD
Francesca Sanguineti, MD
Stephane Champagne, MD
Hakim Benamer, MD
Antoinette Neylon, MD
Mariama Akodad, MD
Tania Ah-Sing, MD
Lounis Hamzi, MD
Trecy Gonçalves, MD
Antoine Lequipar, MD
Emmanuel Gall, MD
Alexandre Unger, MSc
Jean Guillaume Dillinger, MD, PhD
Patrick Henry, MD, PhD
Philippe Garot, MD
Jérome Garot, MD, PhD
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_cb96f730618f4c87adeacd3bbef7b6d2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cb96f730618f4c87adeacd3bbef7b6d2
Other Identifiers
ISSN
1097-6647
