91 citations · 227 across the 15 of their papers we have counts for
17 papers
Semantic-aware Random Convolution and Source Matching for Domain Generalization in Medical Image Segmentation
Franz Thaler, Martin Urschler, Mateusz Kozinski +3
We tackle the challenging problem of single-source domain generalization (DG) for medical image segmentation, where we train a network on one domain (e.g., CT) and directly apply i…
AutoVARP -- a framework for automated reproducible inducibility testing in computational models of cardiac electrophysiology
Paolo Seghetti, Matthias Gsell, Anton Prassk +2
Simulations of Cardiac Electrophysiology are gaining momentum beyond basic mechanistic studies, as an approach for supporting clinical decision making. The potential for in silico…
Computational Modeling of Selective Capture Mechanisms in Conduction System Pacing
Mohammadreza Kariman, Matthias A. F. Gsell, Edward J. Vigmond +3
CSP is gaining clinical significance owing to its ability to restore a physiological activation sequence in the ventricles. While His bundle pacing (HBP) producing the most physiol…
Non-Intrusive Parametrized-Background Data-Weak Reconstruction of Cardiac Displacement Fields from Sparse MRI-like Observations
Francesco C. Mantegazza, Federica Caforio, Christoph Augustin +3
Personalized cardiac diagnostics require accurate reconstruction of myocardial displacement fields from sparse clinical imaging data, yet current methods often demand intrusive acc…
An efficient end-to-end computational framework for the generation of ECG calibrated volumetric models of human atrial electrophysiology
Elena Zappon, Luca Azzolin, Matthias A. F. Gsell +12
Computational models of atrial electrophysiology (EP) are increasingly utilized for applications such as the development of advanced mapping systems, personalized clinical therapy…
Integrating anatomy and electrophysiology in the healthy human heart: Insights from biventricular statistical shape analysis using universal coordinates
Lore Van Santvliet, Elena Zappon, Matthias A. F. Gsell +9
A cardiac digital twin is a virtual replica of a patient-specific heart, mimicking its anatomy and physiology. A crucial step of building a cardiac digital twin is anatomical twinn…
Quantifying variabilities in cardiac digital twin models of the electrocardiogram
Elena Zappon, Matthias A. F. Gsell, Karli Gillette +1
Cardiac digital twins (CDTs) of human cardiac electrophysiology (EP) are digital replicas of patient hearts that match like-for-like clinical observations. The electrocardiogram (E…
pyCEPS: A cross-platform Electroanatomic Mapping Data to Computational Model Conversion Platform for the Calibration of Digital Twin Models of Cardiac Electrophysiology
Robert Arnold, Anton J. Prassl, Aurel Neic +7
Background and Objective: Data from electro-anatomical mapping (EAM) systems are playing an increasingly important role in computational modeling studies for the patient-specific c…
CaRe-CNN: Cascading Refinement CNN for Myocardial Infarct Segmentation with Microvascular Obstructions
Franz Thaler, Matthias A. F. Gsell, Gernot Plank +1
Late gadolinium enhanced (LGE) magnetic resonance (MR) imaging is widely established to assess the viability of myocardial tissue of patients after acute myocardial infarction (MI)…
MedalCare-XL: 16,900 healthy and pathological 12 lead ECGs obtained through electrophysiological simulations
Karli Gillette, Matthias A. F. Gsell, Claudia Nagel +8
Mechanistic cardiac electrophysiology models allow for personalized simulations of the electrical activity in the heart and the ensuing electrocardiogram (ECG) on the body surface.…
Comparison of propagation models and forward calculation methods on cellular, tissue and organ scale atrial electrophysiology
Claudia Nagel, Cristian Barrios Espinosa, Karli Gillette +5
Objective: The bidomain model and the finite element method are an established standard to mathematically describe cardiac electrophysiology, but are both suboptimal choices for fa…
A coupling strategy for a 3D-1D model of the cardiovascular system to study the effects of pulse wave propagation on cardiac function
Federica Caforio, Christoph M. Augustin, Jordi Alastruey +2
The impact of increased stiffness and pulsatile load on the circulation and their influence on heart performance have been documented not only for cardiovascular events but also fo…
An accurate, robust, and efficient finite element framework for anisotropic, nearly and fully incompressible elasticity
Elias Karabelas, Matthias A. F. Gsell, Gundolf Haase +2
Fiber-reinforced soft biological tissues are typically modeled as hyperelastic, anisotropic, and nearly incompressible materials. To enforce incompressibility a multiplicative spli…
Efficient identification of myocardial material parameters and the stress-free reference configuration for patient-specific human heart models
Laura Marx, Justyna A. Niestrawska, Matthias A. F. Gsell +3
Image-based computational models of the heart represent a powerful tool to shed new light on the mechanisms underlying physiological and pathological conditions in cardiac function…
A computationally efficient physiologically comprehensive 3D-0D closed-loop model of the heart and circulation
Christoph M. Augustin, Matthias A. F. Gsell, Elias Karabelas +5
Computer models of cardiac electro-mechanics (EM) show promise as an effective means for quantitative analysis of clinical data and, potentially, for predicting therapeutic respons…
Towards a Computational Framework for Modeling the Impact of Aortic Coarctations upon Left Ventricular Load
Elias Karabelas, Matthias A. F. Gsell, Christoph M. Augustin +6
Computational fluid dynamics (CFD) models of blood flow in the left ventricle (LV) and aorta are important tools for analyzing the mechanistic links between myocardial deformation…
Assessment of wall stresses and mechanical heart power in the left ventricle: Finite element modeling versus Laplace analysis
Matthias A. F. Gsell, Christoph M. Augustin, Anton J. Prassl +6
Introduction: Stenotic aortic valve disease (AS) causes pressure overload of the left ventricle (LV) that may trigger adverse remodeling and precipitate progression towards heart f…