Special Semester on
Mathematical Methods in Medicine
Linz, October 23–December 8, 2023
Workshop 2
November 13–17, 2023
Cardiovascular Modeling and simulation
Organizers
- Luca Gerardo-Giorda (Johannes Kepler University & RICAM, Austria)
- Ed Vigmond (University of Bordeaux/LIRYC, France)
- Gernot Plank (Medical University of Graz, Austria)
Invited speakers
- Christoph Augustin (Medical University of Graz):
A physiologically valid 3D-0D model of left atrial electromechanics - Cristóbal Bertoglio (University of Groningen):
Inverse Problems in Cardiovascular Biomechanics - Yves Bourgault (University of Ottawa):
Mathematical formulation and numerical methods for the Extracellular-Membrane-Intracellular model - Alfonso Bueno Orovio (University of Oxford):
From comorbidities to pharmacogenetics in the modelling and simulation of inherited cardiomyopathies - Federica Caforio (University of Graz):
Parameter Estimation in cardiac biomechanical models with physics-informed neural networks - Oscar Camara (Universidad Pompeu Fabra):
A tortuous pathway to develop, validate, and translate patient-specific computational models of left atrial haemodynamics to support occluder implantations. - Elizabeth Cherry (Georgia Tech):
Data-informed approaches to simulations of cardiac electrical activity - Richard Clayton (University of Sheffield):
Calibration of cardiac electrophysiology models from experimental and clinical data – progress and challenges - Yves Coudière (University of Bordeaux):
Numerical simulation of cardiac pacing devices: modeling and validation issues - Adelaide De Vecchi (King's College London):
Personalised modelling of thrombus formation in the left atrial appendage: revisiting the Virchow’s triad - Luca Dede' (Politecnico Milano):
Multiphysics, multiscale, and computational models for simulating the human heart - Juan Carlos del Alamo (University of Washington)
- Elena Di Martino (University of Calgary):
In-vivo biomarkers as an aid to treatment planning for aortic aneurysms - Flavio Fenton (Georgia Tech):
Nonlinear dynamics in the heart: From period three to spiral-wave teleportation as the mechanism for defibrillation - Elias Karabelas (University of Graz):
Gaussian Process Emulators – A powerful tool for scaling the generation of cardiac digital twins - Rolf Krause (Università della Svizzera Italiana):
Coupled Approaches for Multiphysics Simulations in Cardiology - from CPU to GPU - Gary Mirams (University of Nottingham):
Considering identifiability, model selection, experimental artefacts and model discrepancy in design of experiments to build ion channel models - Luca Pavarino (Univeristy of Pavia):
Scalable parallel solvers for cardiac reaction-diffusion cell-by-cell models - Simone Pezzuto (Univeristy of Trento):
Scientific Machine Learning for Cardiac Electrophysiology Applications - Marina Strocchi (Imperial College London):
Cell to Whole Organ Global Sensitivity Analysis and Parameter Inference on a Four-chamber Heart Electromechanics Model Using Gaussian Processes Emulators - Joakim Sundnes (SIMULA Research Laboratory):
A mathematical model of myocyte contraction based on discrete representations of individual sarcomeres - Mariano Vázquez (ELEM Biotech & Barcelona Supercomputing Center):
Supercomputer-based Virtual Humans: examples on cardiovascular modelling - Christian Vergara (Politecnico Milano):
Image-based and data-integrated computational analyses for cardiac electro-physiology, hemodynamics, and perfusion - Martin Weiser (Zuse Institute Berlin):
Adaptive multirate integration of cardiac electrophysiology in the EMI model
Poster presentations
- Ester Bergantin (University of Trento):
In silico validation of TAG-based coronary blood flow distribution methods for patient-specific computational iFR prediction - M. Angeles Martínez Carballo (University of Zaragoza):
Dynamical analysis of early afterdepolarization patterns in a biophysically detailed cardiac model - Jesus Jairo Rodríguez Padilla (Inria, Sophia Antipolis):
On the inducibility of ventricular tachycardia by means of different stimulation protocols: an electrophysiology simulation study - Jan Verhülsdonk (University of Bonn):
Shape of my heart: Cardiac models through learned signed distance functions
