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Multiphysics and multiscale modelling, data–model fusion and integration of organ physiology in the clinic: ventricular cardiac mechanics
With heart and cardiovascular diseases continually challenging healthcare systems
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
worldwide, translating basic research on cardiac (patho) physiology into clinical care is …
Coupling multi-physics models to cardiac mechanics
We outline and review the mathematical framework for representing mechanical deformation
and contraction of the cardiac ventricles, and how this behaviour integrates with other …
and contraction of the cardiac ventricles, and how this behaviour integrates with other …
3D deeply supervised network for automated segmentation of volumetric medical images
While deep convolutional neural networks (CNNs) have achieved remarkable success in 2D
medical image segmentation, it is still a difficult task for CNNs to segment important organs …
medical image segmentation, it is still a difficult task for CNNs to segment important organs …
Integrated heart—coupling multiscale and multiphysics models for the simulation of the cardiac function
Mathematical modeling of the human heart and its function can expand our understanding of
various cardiac diseases, which remain the most common cause of death in the developed …
various cardiac diseases, which remain the most common cause of death in the developed …
Electromechanical cardioplasty using a wrapped elasto-conductive epicardial mesh
Heart failure remains a major public health concern with a 5-year mortality rate higher than
that of most cancers. Myocardial disease in heart failure is frequently accompanied by …
that of most cancers. Myocardial disease in heart failure is frequently accompanied by …
[HTML][HTML] A machine learning method for real-time numerical simulations of cardiac electromechanics
We propose a machine learning-based method to build a system of differential equations
that approximates the dynamics of 3D electromechanical models for the human heart …
that approximates the dynamics of 3D electromechanical models for the human heart …
Patient-specific electromechanical models of the heart for the prediction of pacing acute effects in CRT: a preliminary clinical validation
Cardiac resynchronisation therapy (CRT) is an effective treatment for patients with
congestive heart failure and a wide QRS complex. However, up to 30% of patients are non …
congestive heart failure and a wide QRS complex. However, up to 30% of patients are non …
Cardiac motion and deformation recovery from MRI: a review
Magnetic resonance imaging (MRI) is a highly advanced and sophisticated imaging
modality for cardiac motion tracking and analysis, capable of providing 3D analysis of global …
modality for cardiac motion tracking and analysis, capable of providing 3D analysis of global …
Multi-scale deep networks and regression forests for direct bi-ventricular volume estimation
Direct estimation of cardiac ventricular volumes has become increasingly popular and
important in cardiac function analysis due to its effectiveness and efficiency by avoiding an …
important in cardiac function analysis due to its effectiveness and efficiency by avoiding an …
[HTML][HTML] Evaluation of left ventricular torsion by cardiovascular magnetic resonance
Recently there has been considerable interest in LV torsion and its relationship with
symptomatic and pre-symptomatic disease processes. Torsion gives useful additional …
symptomatic and pre-symptomatic disease processes. Torsion gives useful additional …