Interpreting Activation Mapping of Atrial Fibrillation: A Hybrid Computational/Physiological Study

By F. Sahli Costabal, J. Zaman, Ellen Kuhl, S. Narayan. 2018

22 citations recorded by the source corpus.

Subfields: Cardiology and Cardiovascular Medicine

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cardiology and Cardiovascular Medicine

1. Paris Perdikaris
2. F. Sahli Costabal
3. Daniel E. Hurtado
4. Ellen Kuhl
5. Yibo Yang

Citations in the corpus

• Physics-Informed Neural Networks for Cardiac Activation Mapping (2020, methodology): “Here, we propose to use a physics-informed neural network to create activation maps of the atria [15], more accurately and efficiently than with linear interpolation alone.”
• Multi-fidelity classification using Gaussian processes: accelerating the prediction of large-scale computational models (2019, methodology): “We solve the monodomain equation with an explicit time integrator implemented in FORTRAN [38].”