Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease-Reference-Cited by-同舟云学术

Automated Whole-Liver MRI Segmentation to Assess Steatosis and Iron Quantification in Chronic Liver Disease

Published:2022-01 Issue:2 Volume:302 Page:345-354
ISSN:0033-8419
Container-title:Radiology
language:en
Short-container-title:Radiology

Author:

Martí-Aguado David^ORCID,Jiménez-Pastor Ana^ORCID,Alberich-Bayarri Ángel,Rodríguez-Ortega Alejandro^ORCID,Alfaro-Cervello Clara^ORCID,Mestre-Alagarda Claudia,Bauza Mónica,Gallén-Peris Ana,Valero-Pérez Elena,Ballester María Pilar^ORCID,Gimeno-Torres Marta^ORCID,Pérez-Girbés Alexandre^ORCID,Benlloch Salvador^ORCID,Pérez-Rojas Judith^ORCID,Puglia Víctor^ORCID,Ferrández Antonio,Aguilera Victoria,Escudero-García Desamparados,Serra Miguel A.^ORCID,Martí-Bonmatí Luis^ORCID

Funder

Instituto de Salud Carlos III

Gilead Sciences

Publisher

Radiological Society of North America (RSNA)

Subject

Radiology, Nuclear Medicine and imaging

Link

http://pubs.rsna.org/doi/pdf/10.1148/radiol.2021211027

Reference40 articles.

1. The global, regional, and national burden of cirrhosis by cause in 195 countries and territories, 1990–2017: a systematic analysis for the Global Burden of Disease Study 2017

2. Suboptimal reliability of liver biopsy evaluation has implications for randomized clinical trials