Imperial College London

Dr Marta Varela

Faculty of MedicineNational Heart & Lung Institute

Research Fellow



marta.varela Website CV




Building E - Sir Michael UrenWhite City Campus





I am interested in using Magnetic Resonance Imaging (MRI), computational modelling and machine learning to understand and improve the treatment of cardiac arrhythmias.

Some of the questions I am currently investigating are:

- How is the propagation of electrical signals in the heart affected by the mechanical deformations it undergoes?

- Can we detect scar in the heart from dynamic (CINE) MRI images, without using contast agents?

- Can we use machine learning (neural networks) to infer the properties of the heart from measurements of electrical potential at its surface?

I am very interested in public engagement and have built an app to demonstrate how ablation procedures may terminate cardiac arrhythmias (Android only).



Lalande A, Chen Z, Pommier T, et al., 2022, Deep learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge, Medical Image Analysis, Vol:79, ISSN:1361-8415

Varela M, Roy A, Lee J, 2022, Corrigendum to "A survey of pathways for mechano-electric coupling in the atria" [Prog. Biophys. Mol. Biol. 159 (January 2021) 136-145]., Prog Biophys Mol Biol, Vol:169-170

Bharath A, Uslu F, Varela Anjari M, et al., 2022, LA-Net: A multi-task deep network for the segmentation of the left atrium, Ieee Transactions on Medical Imaging, Vol:41, ISSN:0278-0062, Pages:456-464

Herrero Martin C, Oved A, Chowdhury R, et al., 2021, EP-PINNs: cardiac electrophysiology characterisation using physics-informed neural networks, Frontiers in Cardiovascular Medicine, ISSN:2297-055X


Galazis C, Wu H, Li Z, et al., 2022, Tempera: Spatial Transformer Feature Pyramid Network for Cardiac MRI Segmentation, Pages:268-276, ISSN:0302-9743

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