Gabriel Balaban

Gabriel Balaban is a researcher affiliated with King's College London, specializing in cardiology and medical imaging. His work focuses on computational modeling of cardiac arrhythmias, risk prediction for sudden cardiac death, and analysis of myocardial fibrosis using MRI.

Research interests include:

• Computational analysis of cardiac scar patterns
• Machine learning for arrhythmic risk stratification
• Nonischemic dilated cardiomyopathy
• Electrophysiological simulations of heart arrhythmias
• Gadolinium-based contrast agent applications

Key contributions span late-gadolinium enhancement analysis, left ventricular shape assessment, and fibrosis modeling to predict major cardiovascular events.