Shared genetic pathways contribute to risk of hypertrophic and dilated cardiomyopathies with opposite directions of effect

R Tadros, C Francis, X Xu, AMC Vermeer, AR Harper… - Nature …, 2021 - nature.com
The heart muscle diseases hypertrophic (HCM) and dilated (DCM) cardiomyopathies are
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

W Bai, H Suzuki, J Huang, C Francis, S Wang… - Nature medicine, 2020 - nature.com
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 …

Genetic and functional insights into the fractal structure of the heart

HV Meyer, TJW Dawes, M Serrani, W Bai, P Tokarczuk… - Nature, 2020 - nature.com
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 …

Fully automated, quality-controlled cardiac analysis from CMR: validation and large-scale application to characterize cardiac function

B Ruijsink, E Puyol-Antón, I Oksuz, M Sinclair… - Cardiovascular …, 2020 - jacc.org
Objectives This study sought to develop a fully automated framework for cardiac function
analysis from cardiac magnetic resonance (CMR), including comprehensive quality control …

Foal: Fast online adaptive learning for cardiac motion estimation

H Yu, S Sun, H Yu, X Chen, H Shi… - Proceedings of the …, 2020 - openaccess.thecvf.com
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 …

DeepStrain: a deep learning workflow for the automated characterization of cardiac mechanics

MA Morales, M Van den Boomen, C Nguyen… - Frontiers in …, 2021 - frontiersin.org
Myocardial strain analysis from cinematic magnetic resonance imaging (cine-MRI) data
provides a more thorough characterization of cardiac mechanics than volumetric parameters …

[HTML][HTML] Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase …

S Ghadimi, DA Auger, X Feng, C Sun, CH Meyer… - Journal of …, 2021 - Elsevier
Background Cardiovascular magnetic resonance (CMR) cine displacement encoding with
stimulated echoes (DENSE) measures heart motion by encoding myocardial displacement …

MulViMotion: Shape-aware 3D myocardial motion tracking from multi-view cardiac MRI

Q Meng, C Qin, W Bai, T Liu… - IEEE transactions on …, 2022 - ieeexplore.ieee.org
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 …

Motion pyramid networks for accurate and efficient cardiac motion estimation

H Yu, X Chen, H Shi, T Chen, TS Huang… - Medical Image Computing …, 2020 - Springer
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 …

Genetic and environmental determinants of diastolic heart function

M Thanaj, J Mielke, KA McGurk, W Bai… - Nature cardiovascular …, 2022 - nature.com
Diastole is the sequence of physiological events that occur in the heart during ventricular
filling and principally depends on myocardial relaxation and chamber stiffness. Abnormal …