
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 14
The effects of alterations of plasma electrolytes on post-repolarisation refractoriness
EP Europace, 2026
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
The 12 most recent of 14. All of them are under Every group paper.
Middle author 32
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
EP Europace, 2024
EP Europace, 2023
Mitral annular electrogram morphology - a balanced signal does not identify the anatomical annulus
EP Europace, 2023
Performance of atrial conduction velocity algorithms: a comparative in-silico study
EP Europace, 2023
Volumetric quantification of peri-atrial fat inflammation in atrial fibrillation patients
EP Europace, 2023
The 12 most recent of 32. All of them are under Every group paper.