27 citations · 28 across the 4 of their papers we have counts for
4 papers
A new gradient-free active subspace estimation method with application to rare event probability estimation
Valentin Breaz, Miguel Munoz Zuniga, Olivier Zahm +1
To reduce the cost of estimating the probability of a rare event involving a very large number of random parameters, we propose a new strategy for dimension reduction coupled with…
Rapid calibration of atrial electrophysiology models using Gaussian process emulators in the ensemble Kalman filter
Mariya Mamajiwala, Cesare Corrado, Chris Lanyon +3
Atrial fibrillation (AF) is a common cardiac arrhythmia characterised by disordered electrical activity in the atria. The standard treatment is catheter ablation, which is invasive…
Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds
Sam Coveney, Caroline H Roney, Cesare Corrado +4
Models of electrical excitation and recovery in the heart have become increasingly detailed, but have yet to be used routinely in the clinical setting to guide personalized interve…
Gaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity
Sam Coveney, Cesare Corrado, Caroline H Roney +7
In patients with atrial fibrillation, local activation time (LAT) maps are routinely used for characterising patient pathophysiology. The gradient of LAT maps can be used to calcul…