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).



Bharath A, Uslu F, Varela Anjari M, et al., 2021, LA-Net: A multi-task deep network for the segmentation of the left atrium, Ieee Transactions on Medical Imaging, ISSN:0278-0062

Lourenço A, Kerfoot E, Grigorescu I, et al., 2021, Automatic Myocardial Disease Prediction from Delayed-Enhancement Cardiac MRI and Clinical Information, Lecture Notes in Computer Science (including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol:12592 LNCS, ISSN:0302-9743, Pages:334-341

Varela Anjari M, Roy A, lee J, 2021, A survey of pathways for mechano-electric coupling in the atria, Progress in Biophysics and Molecular Biology, Vol:159, ISSN:0079-6107, Pages:136-145

Roy A, Varela M, Chubb H, et al., 2020, Identifying locations of re-entrant drivers from patient-specific distribution of fibrosis in the left atrium, Plos Computational Biology, Vol:16, ISSN:1553-734X


Uslu F, Varela M, 2021, SA-net: A sequence aware network for the segmentation of the left atrium in cine MRI datasets, Pages:766-769, ISSN:1945-7928

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