activity
20182023
most citedGaussian Process Manifold Interpolation for Probabilistic Atrial Activation Maps and Uncertain Conduction Velocity

27 citations · 36 across the 5 of their papers we have counts for

collaborators

5 papers

physics.med-ph2023★ 1 cited

Evaluation of an Open-Source Pipeline to Create Patient-Specific Left Atrial Models: A Reproducibility Study

Jose Alonso Solis-Lemus, Tiffany Baptiste, Rosie Barrows +13

We present an open-source software pipeline to create patient-specific left atrial (LA) models with fibre orientations and a fibrosis map, suitable for electrophysiology simulation…

physics.med-ph2022★ 7 cited

Fiber Organization has Little Effect on Electrical Activation Patterns during Focal Arrhythmias in the Left Atrium

Jiyue He, Arkady M. Pertsov, Elizabeth M. Cherry +5

Over the past two decades there has been a steady trend towards the development of realistic models of cardiac conduction with increasing levels of detail. However, making models m…

stat.AP2022★ 1 cited

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…

stat.ML2020★ 27 cited

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…

physics.med-ph2018

Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes

Caroline H Roney, Ali Pashaei, Marianna Meo +6

Integrating spatial information about atrial physiology and anatomy in a single patient from multimodal datasets, as well as generalizing these data across patients, requires a com…