Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study-Reference-Cited by-同舟云学术

Fully automated epicardial adipose tissue volume quantification with deep learning and relationship with CAC score and micro/macrovascular complications in people living with type 2 diabetes: the multicenter EPIDIAB study

Published:2024-09-03 Issue:1 Volume:23 Page:
ISSN:1475-2840
Container-title:Cardiovascular Diabetology
language:en
Short-container-title:Cardiovasc Diabetol

Author:

Gaborit Bénédicte,Julla Jean Baptiste,Fournel Joris,Ancel Patricia,Soghomonian Astrid,Deprade Camille,Lasbleiz Adèle,Houssays Marie,Ghattas Badih,Gascon Pierre,Righini Maud,Matonti Frédéric,Venteclef Nicolas,Potier Louis,Gautier Jean François,Resseguier Noémie,Bartoli Axel,Mourre Florian,Darmon Patrice,Jacquier Alexis,Dutour Anne

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1186/s12933-024-02411-y.pdf

Reference43 articles.

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4. Iacobellis G. Epicardial adipose tissue in contemporary cardiology. Nat Rev Cardiol. 2022;19(9):593–606.

5. Gaborit B, Sengenes C, Ancel P, Jacquier A, Dutour A. Role of Epicardial Adipose Tissue in Health and Disease: A Matter of Fat? Compr Physiol. 2017;7(3):1051–82.