activity
20172024
most citedInference of ventricular activation properties from non-invasive electrocardiography

54 citations · 81 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CE2024★ 5 cited

Cardiac Digital Twin Pipeline for Virtual Therapy Evaluation

Julia Camps, Zhinuo Jenny Wang, Ruben Doste +6

Cardiac digital twins are computational tools capturing key functional and anatomical characteristics of patient hearts for investigating disease phenotypes and predicting response…

physics.med-ph2023★ 2 cited

Digital Twinning of the Human Ventricular Activation Sequence to Clinical 12-lead ECGs and Magnetic Resonance Imaging Using Realistic Purkinje Networks for in Silico Clinical Trials

Julia Camps, Lucas Arantes Berg, Zhinuo Jenny Wang +12

Cardiac in silico clinical trials can virtually assess the safety and efficacy of therapies using human-based modelling and simulation. These technologies can provide mechanistic e…

math.ST2023

The Fisher Geometry and Geodesics of the Multivariate Normals, without Differential Geometry

Brodie A. J. Lawson, Kevin Burrage, Kerrie Mengersen +1

Choosing the Fisher information as the metric tensor for a Riemannian manifold provides a powerful yet fundamental way to understand statistical distribution families. Distances al…

stat.ME2022★ 2 cited

Analysis of sloppiness in model simulations: unveiling parameter uncertainty when mathematical models are fitted to data

Gloria M. Monsalve-Bravo, Brodie A. J. Lawson, Christopher Drovandi +7

This work introduces a comprehensive approach to assess the sensitivity of model outputs to changes in parameter values, constrained by the combination of prior beliefs and data. T…

stat.ME2022★ 1 cited

Population Calibration using Likelihood-Free Bayesian Inference

Christopher Drovandi, Brodie Lawson, Adrianne L Jenner +1

In this paper we develop a likelihood-free approach for population calibration, which involves finding distributions of model parameters when fed through the model produces a set o…

physics.bio-ph2021

Arrhythmogenicity of cardiac fibrosis: fractal measures and Betti numbers

Mahesh Kumar Mulimani, Brodie A. J. Lawson, Rahul Pandit

Infarction- or ischaemia-induced cardiac fibrosis can be arrythmogenic. We use mathematcal models for diffuse fibrosis (), interstitial fibrosis (), pat…

physics.med-ph2020★ 2 cited

Homogenisation for the monodomain model in the presence of microscopic fibrotic structures

Brodie A. J. Lawson, Rodrigo Weber dos Santos, Ian W. Turner +3

Computational models in cardiac electrophysiology are notorious for long runtimes, restricting the numbers of nodes and mesh elements in the numerical discretisations used for thei…

q-bio.TO2020★ 54 cited

Inference of ventricular activation properties from non-invasive electrocardiography

Julia Camps, Brodie Lawson, Christopher Drovandi +5

The realisation of precision cardiology requires novel techniques for the non-invasive characterisation of individual patients' cardiac function to inform therapeutic and diagnosti…

q-bio.TO2017★ 14 cited

Unlocking datasets by calibrating populations of models to data density: a study in atrial electrophysiology

Brodie A. J. Lawson, Christopher C. Drovandi, Nicole Cusimano +3

The understanding of complex physical or biological systems nearly always requires a characterisation of the variability that underpins these processes. In addition, the data used…

math.NA2017★ 1 cited

Uncertainty quantification of coal seam gas production prediction using Polynomial Chaos

Thomas A. McCourt, Brodie Lawson, Fengde Zhou +3

A surrogate model approximates a computationally expensive solver. Polynomial Chaos is a method to construct surrogate models by summing combinations of carefully chosen polynomial…