Functional Imaging and Modeling of the Heart 11th International Conference, FIMH 2021, Stanford, CA, USA, June 21-25, 2021, Proceedings /
This book constitutes the refereed proceedings of the 11th International Conference on Functional Imaging and Modeling of the Heart, which took place online during June 21-24, 2021, organized by the University of Stanford. The 65 revised full papers were carefully reviewed and selected from 68 submi...
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| Other Authors: | , , |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
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| Edition: | 1st ed. 2021. |
| Series: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
12738 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-030-78710-3 |
Table of Contents:
- 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 Image Segmentation
- 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 boundary condition
- 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.