A deep learning surrogate learns to predict ECGs from atrial potentials with R²=0.949 without requiring conductivity tensor inputs.
DiffusionNet: Discretization Agnostic Learning on Surfaces
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Neural Surrogate Forward Modelling For Electrocardiology Without Explicit Intracellular Conductivity Tensor
A deep learning surrogate learns to predict ECGs from atrial potentials with R²=0.949 without requiring conductivity tensor inputs.