Functional Imaging and Modeling of the Heart

normalization on the study of interactions between myocardial shape and deformation.- Reproducibility of Left Ventricular CINE DENSE Strain in Pediatric Subjects with Duchenne Muscular Dystrophy.- M-SiSSR: Regional Endocardial Function using Multilabel Simultaneous Subdivision Surface Registration.- CNN-based Cardiac Motion Extraction to Generate Deformable Geometric Left Ventricle Myocardial Models from Cine MRI.- Multiscale Graph Convolutional Networks for Cardiac Motion Analysis.- An image registration framework to estimate 3D myocardial strains from cine cardiac MRI in mice.- Sensitivity of Myocardial Stiffness Estimates to Inter-observer Variability in LV Geometric Modelling.- A computational approach on sensitivity of left ventricular wall strains to fiber orientation.- A Framework for Evaluating Myocardial Stiffness Using 3D-Printed Heart Phantoms.- Modeling patient-specific periaortic interactions with static and dynamic structures using a moving heterogeneous elastic foundation boundarycondition.- An Exploratory Assessment of Focused Septal Growth in Hypertrophic Cardiomyopathy.- Parameter Estimation in a Rule-Based Fiber Orientation model from End Systolic Strains Using the Reduced Order Unscented Kalman Filter.- Effects of fibre orientation on electrocardiographic and mechanical functions in a computational human biventricular model.- Model-assisted time-synchronization of cardiac MR image and catheter pressure data.- From clinical imaging to patient-specific computational model: Rapid adaptation of the Living Heart Human Model to a case of aortic stenosis.- Cardiac support for the right ventricle: effects of timing on hemodynamics-biomechanics tradeoff.- In vivo pressure-volume loops and chamber stiffness estimation using real-time 3D echocardiography and left ventricular catheterization - application to post-heart transplant patients .- In silico mapping of the omecamtiv mecarbil effects from the sarcomere to the whole-heart and back again.- High-Speed Simulation of the 3D Behavior of Myocardium Using a Neural Network PDE Approach.- On the interrelationship between left ventricle infarction geometry and ischemic mitral regurgitation grade.- Cardiac modeling for Multisystem Inflammatory Syndrome in Children (MIS-C, PIMS-TS).- Personal-by-design: a 3D Electromechanical Model of the Heart Tailored for Personalisation.- Scar-Related Ventricular Arrhythmia Prediction from Imaging using Explainable Deep Learning.- Deep Adaptive Electrocardiographic Imaging with Generative Forward Model for Error Reduction.- EP-Net 2.0: Out-of-Domain Generalisation for Deep Learning Models of Cardiac Electrophysiology.- Simultaneous Multi-Heartbeat ECGI Solution with a Time-Varying Forward Model: a Joint Inverse Formulation.- The Effect of Modeling Assumptions on the ECG in Monodomain and Bidomain Simulations.- Uncertainty Quantification of the Effects of Segmentation Variability in ECGI.- Spiral Waves Generation using an Eikonal-reaction Cardiac Electrophysiology Model.- Simplified Electrophysiology Modeling Framework to Assess Ventricular Arrhythmia Risk in Infarcted Patients.- Sensitivity analysis of a smooth muscle cell electrophysiological model..- A volume source method for solving ECGI inverse problem.- Fast and Accurate Uncertainty Quantification for the ECG with Random Electrodes Location.- Quantitative Hemodynamics in Aortic Dissection: Comparing in vitro MRI with FSI Simulation in a Compliant Model.- 3-D Intraventricular Vector Flow mapping Using Triplane Doppler Echo.- The role of extra-coronary vascular conditions that affect coronary fractional flow reserve estimation..- In-silico analysis of the influence of pulmonary vein configuration on left atrial haemodynamics and thrombus formation in a large cohort.- Shape analysis and computational fluid simulations to assess feline left atrial function and thrombogenesis.- Using the Universal Atrial Coordinate system for MRI and electroanatomic data registration in patient-specific left atrial model construction and simulation.- Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage.- Learning atrial fiber orientations and conductivity tensors from intracardiac maps using physics-informed neural networks.- The Effect of Ventricular Myofibre Orientation on Atrial Dynamics.- Intra-Cardiac Signatures of Atrial Arrhythmias Identified By Machine Learning and Traditional Features.- Computational Modelling of the Role of Atrial Fibrillation on Cerebral Blood Perfusion..