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Academics

  • @garyhuizhang

     

    Gary Zhang is a computer scientist and Professor of Computational Imaging. He also directs the UCL EPSRC Centre for Doctoral Training in Intelligent, Integrated Imaging in Healthcare (i4health).

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    Margaret Hall-Craggs is a consultant radiologist and Professor of Medical Imaging with a particular interest in magnetic resonance imaging. She is a fellow and silver medal winner of the International Society for Magnetic Resonance in Medicine (ISMRM).

  • @TJPBray

     

    Tim Bray is an NIHR Clinical Lecturer and honorary consultant radiologist using computational techniques for quantitative MRI. He is a junior fellow of the International Society for Magnetic Resonance in Medicine (ISMRM).

Post-doctoral researchers

  • @alegouhy

     

    Antoine Legouhy is interested in: brain morphology, registration, atlasing (then); deep-learning registration, geometric distortion correction (now).

  • @csparker

     

    Christopher Parker develops and applies models of brain microstructure to evaluate and stage neurodegenerative disease.

  • @micGuerr

     

    Michele Guerreri develops and applies biophysical models for diffusion MRI.

  • @rabbJot

     

    Prabhjot Kaur is interested in developing machine learning methods to assess and improve the quality of medical images.

  • @Tinggong

     

    Ting Gong is interested in developing microstructure imaging methods with MRI and machine learning.

PhD students

  • @06Lamba

     

    Alistair Lamb applies statistics and deep learning to quantitative Whole-Body MRI.

  • @seancepstein

     

    Sean Epstein applies deep learning to medical imaging inverse problems.

  • @TobyUCL

     

    Tobias (Toby) Goodwin-Allcock develops machine learning networks to improve dMRI parameter estimation.

  • @Aaron-S98

     

    Aaron Sinclair utilises deep learning for white matter hyperintensity segmentation on MR images.

  • @zcahtwu

     

    Tianqi Wu applies machine learning methods to the MRI quality control problem.

Alumni

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    Diliana Pecheva is currently a Postdoctoral researcher at University of California, San Diego. As part of her PhD work at CIG, she applied advanced diffusion MRI techniques to study the developing brain.

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    Jiaying Zhang is currently an Assistant Professor at Beijing Normal University. As part of her PhD work at CIG, she applied the NODDI model to study neurodegenerative diseases, such as Huntington's and Alzheimer's diseases.

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    Maira Tariq is currently a Research Fellow at Institute of Cancer Research. As part of her PhD work at CIG, she developed the Bingham-NODDI model.

  • @palombom

     

    Marco Palombo is currently UKRI Future Leaders Fellow and Senior Lecturer in microstructure imaging at Cardiff University. During his time as a Research Associate at CIG, he pioneered a range of cutting-edge tools for studying gray matter microstructure with MRI, such as the SANDI model.

  • @marksgraham

     

    Mark Graham is currently a Research Associate in Health Data at King's College London. As part of his PhD work at CIG, he developed DW-POSSUM, a tool to simulate realistic diffusion-weighted MRI data.

  • @rcallagh

     

    Ross Callaghan is currently a research engineer at Ainostics. As part of his PhD work at CIG, he created ConFiG, a tool to generate realistic white matter digital phantoms for diffusion MRI simulation.