Simon Walker-Samuel

University College London

Simon undertook a PhD and then post-doctoral fellowship at the Institute of Cancer Research, developing novel imaging biomarkers for assessing the response of tumours to anticancer therapies with magnetic resonance imaging (MRI). Following a move to the Centre for Advanced Biomedical Imaging at University College London, he was awarded a Wellcome Trust Senior Research Fellowship in 2013 to develop MRI techniques to assess tumour microstructure and predict drug delivery, using machine learning.

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Using medical imaging with machine learning to develop efficient tools for diagnosing cancer

This seminar will describe new approaches for assessing tumour microstructure with MRI, using machine learning / artificial intelligence techniques.

EVEN MORE SEMINARS

  • Ernesto A. Cerdena, PhD: Speaking at the European Neurological Convention

    Ernesto A. Cerdena, PhD
    AtlantiCare Regional Medical Center (a member of Geisinger), Atlantic City, New Jersey, USA

    Challenges and Success in Adopting Clinical Decision Support Mechanism In Diagnostic Imaging

  • Prof James O’Connor: Speaking at the European Neurological Convention

    Prof James O’Connor
    University of Manchester / Cancer Research UK / The Christie

    Developing a new MRI method of tracking hypoxia in cancer

  • Dr Phil Koczan: Speaking at the European Neurological Convention

    Dr Phil Koczan
    NHS England

    Assessing the application of Artificial Intelligence and its use in the NHS

  • Pamela Black: Speaking at the European Neurological Convention

    Pamela Black
    Wirral University Teaching Hospitals

    Improving Radiology Services: A local perspective

  • Paul Bentley: Speaking at the European Neurological Convention

    Paul Bentley
    Imperial College London

    How can imaging-AI help stroke management?