
Manisha Sahota
Manisha Sahota received her Bachelor of Engineering in Biomedical Engineering from King’s College London, after which she completed a MSc in Healthcare Technologies also at King’s College London, with a focus on AI and medical image computing. For her BEng final project, she used machine learning to evaluate left ventricular outflow tract obstruction in hypertrophic cardiomyopathy, working in the Cardiac Modelling and Imaging Biomarkers group at King’s College London. Her interests in computational cardiac modelling and AI-enabled imaging to enhance the understanding of prevalent cardiac disorders led her to join the Centre for Doctoral Training in Smart Medical Imaging to start a PhD in the CEMRG lab in October 2022. Her PhD will focus on the intra-procedural updating of cardiac digital twins for automated ventricular tachycardia ablation target guidance in collaboration with Philips Healthcare Research.
Papers
First author 2
Effect of Scar Interpolation Methods on Simulated Ventricular Tachycardia in Infarcted Heart Models
Computing in cardiology, 2024
Investigating the Influence of Parameters on Electrogram Morphology Using Gaussian Process Emulators
Computing in cardiology, 2024