5 citations · 7 across the 3 of their papers we have counts for
5 papers
Female anatomies disguise ECG abnormalities following myocardial infarction: an AI-enabled modelling and simulation study
Hannah Smith, Abhirup Banerjee, Leto Luana Riebel +4
The electrocardiogram (ECG) is modulated by torso-heart anatomy, and this challenges patients' diagnosis and risk stratification. This study aims to quantify how torso-heart anatom…
An Automated Computational Pipeline for Generating Large-Scale Cohorts of Patient-Specific Ventricular Models in Electromechanical In Silico Trials
Ruben Doste, Julia Camps, Zhinuo Jenny Wang +8
In recent years, human in silico trials have gained significant traction as a powerful approach to evaluate the effects of drugs, clinical interventions, and medical devices. In si…
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…
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…
A rule-based method to model myocardial fiber orientation in cardiac biventricular geometries with outflow tracts
Ruben Doste, David Soto-Iglesias, Gabriel Bernardino +7
Rule-based methods are often used for assigning fiber orientation to cardiac anatomical models. However, existing methods have been developed using data mostly from the left ventri…