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Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect
The heart muscle diseases hypertrophic (HCM) and dilated (DCM) cardiomyopathies are
leading causes of sudden death and heart failure in young, otherwise healthy, individuals …
leading causes of sudden death and heart failure in young, otherwise healthy, individuals …
A population-based phenome-wide association study of cardiac and aortic structure and function
Differences in cardiac and aortic structure and function are associated with cardiovascular
diseases and a wide range of other types of disease. Here we analyzed cardiovascular …
diseases and a wide range of other types of disease. Here we analyzed cardiovascular …
Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function
Objectives This study sought to develop a fully automated framework for cardiac function
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …
Genetic and functional insights into the fractal structure of the heart
The inner surfaces of the human heart are covered by a complex network of muscular
strands that is thought to be a remnant of embryonic development,. The function of these …
strands that is thought to be a remnant of embryonic development,. The function of these …
DeepMesh: mesh-based cardiac motion tracking using deep learning
3D motion estimation from cine cardiac magnetic resonance (CMR) images is important for
the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current …
the assessment of cardiac function and the diagnosis of cardiovascular diseases. Current …
Foal: Fast online adaptive learning for cardiac motion estimation
Motion estimation of cardiac MRI videos is crucial for the evaluation of human heart anatomy
and function. Recent researches show promising results with deep learning-based methods …
and function. Recent researches show promising results with deep learning-based methods …
[HTML][HTML] Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase …
Background Cardiovascular magnetic resonance (CMR) cine displacement encoding with
stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement …
stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement …
Motion pyramid networks for accurate and efficient cardiac motion estimation
Cardiac motion estimation plays a key role in MRI cardiac feature tracking and function
assessment such as myocardium strain. In this paper, we propose Motion Pyramid …
assessment such as myocardium strain. In this paper, we propose Motion Pyramid …
DeepStrain: a deep learning workflow for the automated characterization of cardiac mechanics
Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data
provides a more thorough characterization of cardiac mechanics than volumetric parameters …
provides a more thorough characterization of cardiac mechanics than volumetric parameters …
MulViMotion: Shape-aware 3D myocardial motion tracking from multi-view cardiac MRI
Recovering the 3D motion of the heart from cine cardiac magnetic resonance (CMR)
imaging enables the assessment of regional myocardial function and is important for …
imaging enables the assessment of regional myocardial function and is important for …