Publications

Scientific Publications

Multilevel modelling for decision support in hypertrophic cardiomyopathy in the SMASH-HCM project

An ECG-Based Model for Left Ventricular Hypertrophy Detection: A Machine Learning Approach

Leveraging digital twin technology for healthcare: Mapping potential benefits and impacts through a hypertrophic cardiomyopathy case study

Defining functional requirements for a self-management solution for Hypertrophic Cardiomyopathy patients – a multi-stakeholder multi-framework approach

Model-Based Analysis of Myocardial Strains in Obstructive and Non-Obstructive Hypertrophic Cardiomyopathy

Automatic Right Ventricular Hypertrophic Detection integrating Electrocardiography-based QRS Biomarkers with Machine Learning

Harnessing 12-lead ECG and MRI data to personalise repolarisation profiles in cardiac digital twin models for enhanced virtual drug testing

Evaluating Convolution, Attention, and Mamba Based U-Net Models for Multi-class Bi-Atrial Segmentation from LGE-MRI

Other

Project Factsheet