Functional imaging and modeling of t...
FIMH (Conference) (2025 :)

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  • Functional imaging and modeling of the heart = 13th International Conference, FIMH 2025, Dallas, TX, USA, June 1-5, 2025 : proceedings.. Part I /
  • Record Type: Electronic resources : Monograph/item
    Title/Author: Functional imaging and modeling of the heart/ edited by Radomír Chabiniok ... [et al.].
    Reminder of title: 13th International Conference, FIMH 2025, Dallas, TX, USA, June 1-5, 2025 : proceedings.
    remainder title: FIMH 2025
    other author: Chabiniok, Radomír.
    corporate name: FIMH (Conference)
    Published: Cham :Springer Nature Switzerland : : 2025.,
    Description: xxvii, 447 p. :ill. (some col.), digital ;24 cm.
    [NT 15003449]: Models for Electrophysiology, Arrhythmia and Their Sequalae. -- Multimodal Personalisation of Cardiac Electrophysiology Models combining 12-lead ECG and Computed Tomography. -- Anatomic and Electrophysiological Biomarkers favoring Atrial Fibrillation Identified by Virtual Populations. -- Arrhythmic Mitral Valve Syndrome: Insights from Left Ventricular Endsystolic Shape Analysis. -- Validation of a computational model for simulating hemodynamic effects of premature ventricular complexes. -- 3D-Shell Electromechanical Modeling of the Left Atrium. -- Computational Modelling of Thrombogenesis during Cryoablation and Radiofrequency Ablation in the Left Atrium. -- Influence of Oestrogen on Atrial Fibrillation Risk: An In-Silico Study. -- Effects of the Insertion of Epicardial Anisotropy versus Isotropy in the Inverse Problem of Electrocardiography. -- In silico Assessment of Arrhythmia Inducibility Dependence on Stimulus Location using Calibrated MR-based Infarcted Heart Models. -- Electrophysiologically-Characterized Digital Twins from Intracavitary Recordings During Atrial Fibrillation. -- Global Left Atrial Wall Fibrosis is Associated with Pro-thrombotic Haemodynamics in Atrial Fibrillation: A Computational Fluid Dynamics Study. -- Towards Validation of Two Computational Models of Artificial Pacemakers. -- Learning Cardiac Electrophysiology with Graph Neural Networks for Fast Data-driven Personalised Predictions. -- Frugal AI for Automated Cardiac Defibrillation: Balancing Performance & Hardware Constraints. -- A fast solver for the complex eikonal equation to initiate cardiac arrhythmias. -- Investigation of the Left Atrial Appendage Hemodynamics by Integrating ECG-Gated CT and Mesh Morphing. -- An Experimental Setup for the Analysis of Patient-Specific Left Atrial Appendage with Particle Image Velocimetry Investigation. -- Multi-Therapeutic Modelling for Stroke Prevention in Atrial Fibrillation: Impact of the Pulmonary Ridge. -- Biomechanics and Assessment of Cardiovascular Health. -- The Impact of Left Ventricular Stiffness on Hemodynamic Responses to Mitral Regurgitation at Rest and During Exercise. -- Multi-Scale Whole-Heart Electromechanics Modeling to Link Cellular, Tissue and Systemic Properties to Cardiac Biomarkers in the Diabetic Male and Female Heart. -- A Multimodal Machine Learning Approach for Identifying Elevated Left Ventricular End-Diastolic Pressure. -- The CircAdapt Framework: Create Fast Computational Models of Cardiovascular Function. -- Atrial Constitutive Neural Networks. -- Transformer-Based Surrogate Modeling for Efficient Left Ventricular Digital Twin. -- High Speed Cardiac Simulations Using the JAX Framework. -- Modeling Adaptive Fiber Reorientation in the Left Ventricle: Evaluation in an Ellipsoidal and a Patient-Specific Geometry. -- A Fast Computational Model for Studying Interventricular Interactions. -- Analyzing the Impact of Different Microstructure and Active Stress Models on Peak Systolic Kinematics. -- A New Active Strain Model for Modelling Left Ventricular Contraction. -- Identification of the Unloaded Heart Configuration Including External Interactions. -- Cardiac Electromechanical Model Sensitivity Analysis using Causal Discovery. -- Model-Enhanced Data Acquisition and Processing. -- Parameter Estimation in Blood Flow Models from k-Space-Undersampled MRI Data. -- Motion Tracking with Finite Elements Meshes and Image Models. -- Parameter Estimation in Cardiac Fluid-Structure Interaction from Fluid and Solid Measurements. -- A Theoretical Framework for Flow-Compatible Reconstruction of Heart Motion. -- Comparison of Image-Driven, Patient-Specific, Direct Numerical Simulations to 4D Flow MRI in the Right Ventricle. -- Quantification of Perfusion using Fermi Deconvolution. -- Towards Non-Invasive Estimation of Myocardial Scar Stiffness from Cardiac Strains Using Deep Learning. -- Intracardiac Hemodynamics Alteration in Myocardial Infarction.
    Contained By: Springer Nature eBook
    Subject: Heart - Congresses. - Imaging -
    Online resource: https://doi.org/10.1007/978-3-031-94559-5
    ISBN: 9783031945595
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