59 citations · 217 across the 22 of their papers we have counts for
4 papers · 1 filter
Ensemble learning of the atrial fiber orientation with physics-informed neural networks
Efraín Magaña, Simone Pezzuto, Francisco Sahli Costabal
The anisotropic structure of the myocardium is a key determinant of the cardiac function. To date, there is no imaging modality to assess in-vivo the cardiac fiber structure. We re…
An eikonal model with re-excitability for fast simulations in cardiac electrophysiology
Lia Gander, Rolf Krause, Francisco Sahli Costabal +1
Precision cardiology based on cardiac digital twins requires accurate simulations of cardiac arrhythmias. However, detailed models, such as the monodomain model, are computationall…
Understanding the dynamics of the frequency bias in neural networks
Juan Molina, Mircea Petrache, Francisco Sahli Costabal +1
Recent works have shown that traditional Neural Network (NN) architectures display a marked frequency bias in the learning process. Namely, the NN first learns the low-frequency fe…
Self-Supervised k-Space Regularization for Motion-Resolved Abdominal MRI Using Neural Implicit k-Space Representation
Veronika Spieker, Hannah Eichhorn, Jonathan K. Stelter +8
Neural implicit k-space representations have shown promising results for dynamic MRI at high temporal resolutions. Yet, their exclusive training in k-space limits the application o…