
Cesare Corrado
Dr Cesare Corrado holds an MSc in Aerospace Engineering from the Polytechnic University of Milan and a PhD in Civil and Environmental Engineering from the University of Padua, Italy.
His research focuses on computational cardiac modelling, machine learning, and the integration of clinical data to develop patient-specific models for improving the treatment of cardiac arrhythmias. His current work includes predicting the outcomes of atrial fibrillation ablation and quantifying the effectiveness of antiarrhythmic drugs for treating ventricular tachycardia. He is also interested in model uncertainty and predictive performance, with the aim of developing reliable computational tools to support clinical decision-making.
Research themes
Papers
First author 13
Communications Medicine, 2025
Quantifying the impact of shape uncertainty on predicted arrhythmias
Computers in Biology and Medicine, 2023
EP Europace, 2020
Using cardiac ionic cell models to interpret clinical data
WIREs Mechanisms of Disease, 2020
Medical Image Analysis, 2019
An Algorithm to Sample an Anatomy With Uncertainty
Computing in cardiology, 2018
Medical Image Analysis, 2018
A Predictive Personalised Model for the Left Atrium
Computing in cardiology, 2017
Predicting Spiral Wave Stability by Personalized Electrophysiology Models
Computing in cardiology, 2016
A two-variable model robust to pacemaker behaviour for the dynamics of the cardiac action potential
Mathematical Biosciences, 2016
Personalized Models of Human Atrial Electrophysiology Derived From Endocardial Electrograms
IEEE Transactions on Biomedical Engineering, 2016
個別電気生理学モデルによるスパイラル波安定性の予測【Powered by NICT】
IEEE Conference Proceedings, 2016
The 12 most recent of 13. All of them are under Every group paper.
Middle author 25
PLoS Computational Biology, 2026
Scientific Reports, 2026
SoftwareX, 2026
Computing in cardiology, 2025
Developing cardiac biomechanical models beyond the clinic: modeling stressors of daily life
Biomechanics and Modeling in Mechanobiology, 2025
Computers in Biology and Medicine, 2025
Global Sensitivity Analysis of Left Atrial Electrophysiology Models
Computing in cardiology, 2024
A Workflow for Probabilistic Calibration of Models of Left Atrial Electrophysiology
Computing in cardiology, 2022
Calibrating cardiac electrophysiology models using latent Gaussian processes on atrial manifolds
Scientific Reports, 2022
Circulation Arrhythmia and Electrophysiology, 2022
Bayesian Calibration of Electrophysiology Models Using Restitution Curve Emulators
Frontiers in Physiology, 2021
Scientific Reports, 2021
The 12 most recent of 25. All of them are under Every group paper.