Simultaneous data assimilation and cardiac electrophysiology model correction using differentiable physics and deep learning
Modelling complex systems, like the human heart, has made great progress over the last
decades. Patient-specific models, called 'digital twins', can aid in diagnosing arrhythmias …
decades. Patient-specific models, called 'digital twins', can aid in diagnosing arrhythmias …
Deep learning-based emulation of human cardiac activation sequences
The vision of digital twins for precision cardiology is to combine expert knowledge and data
of patients' cardiac pathophysiology with advanced computational methods, in order to …
of patients' cardiac pathophysiology with advanced computational methods, in order to …
A deep learning-based hybrid computational approach to cardiac electrophysiology
AF Kuloğlu - 2023 - open.metu.edu.tr
Electrophysiological modeling of the heart has witnessed significant progress with the
increase of available computational power. Realistic electrophysiology models often require …
increase of available computational power. Realistic electrophysiology models often require …
Learning Cardiac Electrophysiology Dynamics with PDE-based Physiological Constraints for Data-Driven Personalised Predictions
V Kashtanova - 2023 - hal.science
A current major scientific challenge consists in combining the versatility of intensive data-
based approaches with the physically grounded modelling approaches developed in …
based approaches with the physically grounded modelling approaches developed in …
[PDF][PDF] Apprentissage de la dynamique électrophysiologique cardiaque avec contraintes physiologiques de modèle pour une prédiction personnalisée basée sur les …
V Kashtanova - 2023 - hal.science
Résumé Un défi scientifique majeur actuel consiste à combiner la polyvalence des
approches intensives basées sur les données avec les approches de modélisation à base …
approches intensives basées sur les données avec les approches de modélisation à base …
Personalised 3D electromechanical models of the heart for cardiac resynchronisation therapy planning in heart failure patients
G Desrues - 2023 - theses.hal.science
Heart failure is the final funnel of all cardiac diseases, affects today 8% of the general
population living in developed countries and is expected to reach 11% by 2030. Despite …
population living in developed countries and is expected to reach 11% by 2030. Despite …
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AERC Pattern, MAOE Objects, J Zhang… - Big Data and Social …, 2023 - books.google.com
Regional co-location patterns (RCPs) indicate the feature sets that generally co-occur within
sub-regions but rarely co-occur in the whole study area. Spatial features have different …
sub-regions but rarely co-occur in the whole study area. Spatial features have different …