E-raamat: Functional Imaging and Modeling of the Heart: 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings

Population-based personalization of geometric models of myocardial
infarction.- Impact of Image Resolution and Resampling on Motion Tracking of
the Left Chambers from Cardiac Scans.- Shape Constraints in Deep Learning for
Robust 2D Echocardiography Analysis.- Image-Derived Geometric Characteristics
Predict Abdominal Aortic Aneurysm Growth in a  Machine Learning Model.-
Cardiac MRI Left Ventricular Segmentation and Function Quantification Using
Pre-trained Neural Networks.- Three-Dimensional Embedded Attentive RNN
(3D-EAR) Segmentor for Left Ventricle Delineation from Myocardial Velocity
Mapping.- Whole Heart Anatomical Refinement from CCTA using Extrapolation and
Parcellation.- Optimisation of Left Atrial Feature Tracking using
Retrospective Gated Computed Tomography Images.- Assessment of geometric
models for the approximation of aorta cross-sections.- Improved High Frame
Rate Speckle Tracking for Echocardiography.- Efficient Model Monitoring for
Quality Control in Cardiac ImageSegmentation.- Domain adaptation for
automatic aorta segmentation of 4D flow magnetic resonance imaging data from
multiple vendor scanners.- A multi-step machine learning approach for short
axis MR images segmentation.- Diffusion biomarkers in chronic myocardial
infarction.- Spatially constrained Deep Learning approach for myocardial T1
mapping.- A methodology for accessing the local arrangement of the sheetlets
that make up the extracellular heart tissue.- A High-Fidelity 3D
Micromechanical Model of Ventricular Myocardium.- Quantitative Interpretation
of Myocardial Fiber Structure in the Left and Right Ventricle of an Equine
Heart using Diffusion Tensor Cardiovascular Magnetic Resonance Imaging.-
Analysis of Location-Dependent Cardiomyocyte Branching.- Systematic Study of
Joint Influence of Angular Resolution and Noise in Cardiac Diffusion Tensor
Imaging.- Arbitrary Point Tracking with Machine Learning to Measure Cardiac
Strain in Tagged MRI.- Investigation of the impact of 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..