activity
20222025
most citedAdjoint-aided inference of Gaussian process driven differential equations

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CE2025

Regional heterogeneity in left atrial stiffness impacts passive deformation in a cohort of patient-specific models

Tiffany MG Baptiste, Cristobal Rodero, Charles P Sillett +13

The deformation of the left atrium (LA), or its biomechanical function, is closely linked to the health of this cardiac chamber. In atrial fibrillation (AF), atrial biomechanics ar…

stat.AP2025

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…

eess.IV2024

Transforming Heart Chamber Imaging: Self-Supervised Learning for Whole Heart Reconstruction and Segmentation

Abdul Qayyum, Hao Xu, Brian P. Halliday +4

Automated segmentation of Cardiac Magnetic Resonance (CMR) plays a pivotal role in efficiently assessing cardiac function, offering rapid clinical evaluations that benefit both hea…

stat.ME2023

An Introduction to the Calibration of Computer Models

Richard D. Wilkinson, Christopher W. Lanyon

In the context of computer models, calibration is the process of estimating unknown simulator parameters from observational data. Calibration is variously referred to as model fitt…

stat.ML2022★ 2 cited

Adjoint-aided inference of Gaussian process driven differential equations

Paterne Gahungu, Christopher W Lanyon, Mauricio A Alvarez +3

Linear systems occur throughout engineering and the sciences, most notably as differential equations. In many cases the forcing function for the system is unknown, and interest lie…