Xiaohong (Sharon) Gao

Middlesex University

Professor Gao has been working on medical images for the last 20 years. She obtained her PhD in 1994 in Computer Colour Vision at Loughborough University in Loughborough and had worked in NHS hospitals for 4 years before she joined Middlesex University as an academic. She has received a number of funding awards from the EPSRC, the Royal Society, JISC, British Council, Cancer Research UK and European Commission as a principle investigator or coordinator. In 2017, her team has won top 1 (out of 23 teams) in accuracy in classification of Tuberculosis Competition organised by ImageCLEF, through the design of novel deep learning networks, and #12 (among 29 teams) in 2019 on Detection of artefact of endoscopic images at EAD2019 competition.

dont miss

Application of deep learning techniques to medical images for early diagnosis

This seminar will address the state of the art deep learning techniques in assisting early diagnosis based on medical images. In particular, this talk will focus on early detection and segmentation of early stages of squamous cancers from oesophagus endoscopic videos in real time, the challenges, benefit, and future directions. This project is funded by the Cancer Research UK.


  • Dr Ai Lyn Tan: Speaking at the Medical Imaging Convention

    Dr Ai Lyn Tan
    NIHR Leeds Biomedical Research Centre, Chapel Allerton Hospital, and University of Leeds

    How imaging has enhanced knowledge about rheumatic diseases

  • Professor Stuart Taylor: Speaking at the Medical Imaging Convention

    Professor Stuart Taylor
    University College London

    Should we be using first line whole body MRI in colorectal and lung cancer staging?

  • Alison Hall: Speaking at the Medical Imaging Convention

    Alison Hall
    Keele University, Cannock Hospital

    Ultrasound guided corticosteroid injections in Musculoskeletal disease – the development of a Sonographer-led service

  • Robert Lauritzen: Speaking at the Medical Imaging Convention

    Robert Lauritzen

    Why real-time machine learning on medical images during acquisition can make a difference

  • Dr Anna Barnes: Speaking at the Medical Imaging Convention

    Dr Anna Barnes
    University College Hospital

    Imaging biomarkers to investigate neuropathology