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.


  • Syeda Khan: Speaking at the Medical Imaging Convention

    Syeda Khan
    City, Sandwell and Walsall Breast Screening Service

    PROSPECT Trial

  • Dr Raj Jena: Speaking at the Medical Imaging Convention

    Dr Raj Jena
    Microsoft Research Cambridge & University of Cambridge Department of Oncology

    Building AI workflows for segmentation and analysis of medical imaging

  • Dr Nasir Hameed: Speaking at the Medical Imaging Convention

    Dr Nasir Hameed
    School of Medicine, University of Central Lancashire

    Remote Imaging ‘Pass me my stethoscope – I mean smartphone’

  • Prof Keith Muir: Speaking at the Medical Imaging Convention

    Prof Keith Muir
    University of Glasgow

    Imaging techniques to aid treatment decisions in acute ischaemic stroke.

  • Iris Grunwald: Speaking at the Medical Imaging Convention

    Iris Grunwald
    Anglia Ruskin University, Chelmsford, Southend University Hospital

    How To Set Up An Interventional Stroke Service Using AI and High-Fidelity Simulation