Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI-Reference-Cited by-同舟云学术

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Coupling synthetic and real-world data for a deep learning-based segmentation process of 4D flow MRI

Published:2023-12 Issue: Volume:242 Page:107790
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Garzia Simone^ORCID,Scarpolini Martino Andrea^ORCID,Mazzoli Marilena,Capellini Katia,Monteleone Angelo,Cademartiri Filippo^ORCID,Positano Vincenzo^ORCID,Celi Simona^ORCID

Funder

Horizon 2020

H2020 Marie Skłodowska-Curie Actions

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference59 articles.

1. Multimodality imaging for interventional cardiology;Celi;Curr. Pharm. Des.,2017

2. 4D Flow cardiovascular magnetic resonance consensus statement: 2023 update;Bissell;J. Cardiovasc. Magn. Reson.,2023

3. 4D flow MRI;Markl;J. Magn. Reson. Imaging,2012

4. A comparison of 4D flow MRI-derived wall shear stress with computational fluid dynamics methods for intracranial aneurysms and carotid bifurcations—a review;Szajer;Magn. Reson. Imaging,2018

5. Reproducibility of flow and wall shear stress analysis using flow-sensitive four-dimensional MRI;Markl;J. Magn. Reson. Imaging,2011

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