Quantification of epicardial fat volume using cardiovascular magnetic resonance imaging
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1532-429X
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
Quantification of epicardial fat volume using cardiovascular magnetic resonance imaging ; volume:16 ; number:1 ; day:16 ; month:1 ; year:2014 ; pages:1-2 ; date:1.2014
Journal of cardiovascular magnetic resonance ; 16, Heft 1 (16.1.2014), 1-2, 1.2014
- Creator
-
Teme, Tonye
- Contributor
-
Sayegh, Bassel
Syed, Mushabbar
Wilber, David
Bakhos, Lara
Rabbat, Mark
SpringerLink (Online service)
- DOI
-
10.1186/1532-429X-16-S1-O112
- URN
-
urn:nbn:de:1111-2016032316908
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:00 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Teme, Tonye
- Sayegh, Bassel
- Syed, Mushabbar
- Wilber, David
- Bakhos, Lara
- Rabbat, Mark
- SpringerLink (Online service)
Other Objects (12)
Quantification of epicardial fat using 3D cine Dixon MRI
1103 Cardiovascular magnetic resonance assessment of epicardial fat volume: impact of weight reduction in obese males
Is really epicardial fat a new marker of cardiovascular risk? A case-control cardiac magnetic resonance study
Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
Quantification of myocardial perfusion by cardiovascular magnetic resonance
Epicardial adipose tissue measured by magnetic resonance imaging predicts abnormal adenosine stress cardiovascular magnetic resonance imaging and future adverse cardiovascular events
Subcutaneous fat thickness, but not epicardial fat thickness, parallel weight reduction after bariatric surgery: a cardiac magnetic resonance study
Epicardial Fat Volume and Aortic Stiffness in Healthy Individuals: A Quantitative Cardiac Magnetic Resonance Study
Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance
The relationship between epicardial fat thickness and gestational diabetes mellitus
Epicardial and liver fat implications in albuminuria: a retrospective study
Quantification of epicardial fat using 3D cine Dixon MRI
1103 Cardiovascular magnetic resonance assessment of epicardial fat volume: impact of weight reduction in obese males
Is really epicardial fat a new marker of cardiovascular risk? A case-control cardiac magnetic resonance study
Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
Quantification of myocardial perfusion by cardiovascular magnetic resonance
Epicardial adipose tissue measured by magnetic resonance imaging predicts abnormal adenosine stress cardiovascular magnetic resonance imaging and future adverse cardiovascular events
Subcutaneous fat thickness, but not epicardial fat thickness, parallel weight reduction after bariatric surgery: a cardiac magnetic resonance study
Epicardial Fat Volume and Aortic Stiffness in Healthy Individuals: A Quantitative Cardiac Magnetic Resonance Study
Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance
The relationship between epicardial fat thickness and gestational diabetes mellitus
Epicardial and liver fat implications in albuminuria: a retrospective study
Quantification of epicardial fat using 3D cine Dixon MRI
1103 Cardiovascular magnetic resonance assessment of epicardial fat volume: impact of weight reduction in obese males
Is really epicardial fat a new marker of cardiovascular risk? A case-control cardiac magnetic resonance study
Automated quantification of epicardial adipose tissue in cardiac magnetic resonance imaging
AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging
Quantification of myocardial perfusion by cardiovascular magnetic resonance
Epicardial adipose tissue measured by magnetic resonance imaging predicts abnormal adenosine stress cardiovascular magnetic resonance imaging and future adverse cardiovascular events
Subcutaneous fat thickness, but not epicardial fat thickness, parallel weight reduction after bariatric surgery: a cardiac magnetic resonance study
Epicardial Fat Volume and Aortic Stiffness in Healthy Individuals: A Quantitative Cardiac Magnetic Resonance Study
Quantification of myocardial perfusion with self-gated cardiovascular magnetic resonance
The relationship between epicardial fat thickness and gestational diabetes mellitus