19 citations · 64 across the 16 of their papers we have counts for
4 papers · 1 filter
Shape of my heart: Cardiac models through learned signed distance functions
Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal +6
The efficient construction of anatomical models is one of the major challenges of patient-specific in-silico models of the human heart. Current methods frequently rely on linear st…
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
Thomas Grandits, Jan Verhülsdonk, Gundolf Haase +2
The eikonal equation has become an indispensable tool for modeling cardiac electrical activation accurately and efficiently. In principle, by matching clinically recorded and eikon…
Faithful Synthesis of Low-dose Contrast-enhanced Brain MRI Scans using Noise-preserving Conditional GANs
Thomas Pinetz, Erich Kobler, Robert Haase +3
Today Gadolinium-based contrast agents (GBCA) are indispensable in Magnetic Resonance Imaging (MRI) for diagnosing various diseases. However, GBCAs are expensive and may accumulate…
Learned Discretization Schemes for the Second-Order Total Generalized Variation
Lea Bogensperger, Antonin Chambolle, Alexander Effland +1
The total generalized variation extends the total variation by incorporating higher-order smoothness. Thus, it can also suffer from similar discretization issues related to isotrop…