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Portrait of Devran Ugurlu

Devran Ugurlu

Postdoctoral researcher · Imperial College London

Dr Devran Ugurlu received his bachelor’s degree in Mathematics Engineering and master’s degree in Computational Science and Engineering from Istanbul Technical University, Turkey. He received his PhD in Computer Science and Engineering from Sabanci University, Turkey.

His research mainly focuses on medical image analysis. For his PhD and his first postdoc project at Istanbul Technical University, he worked with automatic segmentation of fiber tracts from brain diffusion MRI. He moved to the UK in September 2020 and has been working as a postdoc with cardiac MRI images since. His current work involves automatically creating patient-specific biventricular and 4-chamber meshes to model the patient’s heart anatomy using deep-learning methods.

Research themes

Papers

First author 1

  1. Devran Ugurlu, Shuang Qian, Elliot Fairweather, Charlene Mauger, Bram Ruijsink, Laura Dal Toso, …, Marina Strocchi, …, Steven Niederer, Martin Bishop

    Cardiac digital twins at scale from MRI: Open tools and representative models from ~ 55000 UK Biobank participants

    PLoS ONE, 2025

Middle author 6

  1. Shuang Qian, Devran Ugurlu, Elliot Fairweather, Richard E. Jones, Hassan Zaidi, Sanjay Prasad, Brian P. Halliday, …, Cristobal Rodero, Abdul Qayyum, …, Martin Bishop, Steven Niederer

    In silico trials for sex-specific patient inclusion criteria in cardiac resynchronization therapy

    npj Digital Medicine, 2026

  2. Mohammad Kayyali, Ana Mincholé, Shuang Qian, Alistair Young, Devran Ugurlu, Elliot Fairweather, Steven Niederer, John Whitaker, Martin Bishop, …

    Anatomical-electrical coupling of cardiac axes: Definitions and population variability for advancing personalised ECG interpretation

    PLoS Computational Biology, 2025

  3. Shuang Qian, Devran Ugurlu, Elliot Fairweather, Laura Dal Toso, Yu Deng, Marina Strocchi, Ludovica Cicci, Richard E. Jones, Hassan Zaidi, …, Martin Bishop, Steven Niederer

    Developing cardiac digital twin populations powered by machine learning provides electrophysiological insights in conduction and repolarization

    Nature Cardiovascular Research, 2025

  4. Marina Strocchi, Rosie K. Barrows, Cristobal Rodero, José Alonso Solís-Lemus, Shuang Qian, Ludovica Cicci, Abdul Qayyum, Devran Ugurlu, Christoph M. Augustin, Matthias A. F. Gsell, Edward J. Vigmond, Gernot Plank, Steven A. Niederer

    Multi-scale Whole-Heart Electromechanics Modeling to Link Cellular, Tissue and Systemic Properties to Cardiac Biomarkers in the Diabetic Male and Female Heart

    Lecture notes in computer science, 2025

  5. Mohammad Kayyali, Ana Mincholé, Shuang Qian, Alistair Young, Devran Ugurlu, Elliot Fairweather, Steven Niederer, John Whitaker, Martin Bishop, …

    Cardiac Anatomical and Electrical Axes: Proposed Definitions and Interplay

    Computing in cardiology, 2024

  6. S Qian, D Ugurlu, E Fairweather, M Strocchi, L Dal Toso, Y Deng, A Young, M Bishop, …, S Niederer

    Cardiac digital twins of the adult population: linking electrophysiological functions to anatomy

    EP Europace, 2023