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Research

Medical image computing

My team are working on mage processing, pattern recognition, machine learning with particular interests in computer aided diagnosis and its applications in ophthalmic imaging.

Deep learning and medical applications

My team develop novel deep learning techniques to address global challenges in healthcare.

Development of new imaging technologies

My team develop state-of-the-art imaging techniques for improved disease management.

Research grants

REliability of HRDD as a biomarker in Painful diabetic nEuropathy - a validation study (REPEL)

PROCTER & GAMBLE (USA)

July 2023 - December 2024

AF Screening to Prevent Ischaemic StRokE (The ASPIRE Study) - The Role of Blood, ECG and Genetic Biomarkers

STROKE ASSOCIATION (UK)

April 2023 - March 2025

Workshop on AI and Eye Screening

BRITISH COUNCIL (UK)

February 2021 - January 2022

Developing a UK-Korea Common Data and Modelling Bridge for Precision Treatment and Monitoring of Atrial Fibrillation

MEDICAL RESEARCH COUNCIL

April 2019 - June 2022

Development of AI Techniques for Predict Eye Cancer Using Big Longitudinal Clinical Data

DEPARTMENT OF HEALTH & SOCIAL CARE (UK)

January 2021 - April 2022

Predicting Acute and Post-Recovery Outcomes in Cerebral Malaria by Optical Coherence Tomography

WELLCOME TRUST (UK)

April 2022 - March 2026

Clinical Development of an Ultrasensitive OCT Device to Improve the Management of Eye Disease

DEPARTMENT OF HEALTH & SOCIAL CARE (UK)

November 2017 - July 2022

Artificial Intelligence Tools For Automatic Single Molecule Analysis

BIOTECHNOLOGY & BIOLOGICAL SCIENCE RESEARCH COUNCIL

December 2018 - November 2020

Development and optimisation of ultrasensitive optical coherence tomography imaging for eye disease

ROYAL LIVERPOOL AND BROADGREEN UNIVERSITY HOSPITALS NHS TRUST CHARITABLE FUNDS (UK)

August 2017 - October 2017

GCRF/Newton Consolidation Award

ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCIL

February 2018 - March 2023

Development of AI for image analysis

REMARK HOLDINGS (USA)

January 2019 - February 2022

ECG detection with Deep Learning

BIOTECHNOLOGY & BIOLOGICAL SCIENCE RESEARCH COUNCIL

July 2019 - August 2023

Characterising Shape and Power of the Corneal Surface Using Ultrahigh-resolution Optical Coherence Tomography

MEDICAL RESEARCH COUNCIL

March 2015 - June 2016

Deep learning for automatic screening of diabetic retinopathy

FIGHT FOR SIGHT (UK)

October 2015 - September 2018

Use smartphone to image the retina for glaucoma screening

FIGHT FOR SIGHT (UK)

March 2015 - June 2016

Choroidal Structure and Function in Chronic Retinal Disease

FOUNDATION FOR THE PREVENTION OF BLINDNESS (UK)

January 2012 - December 2015

Improvement of opthalmic imaging support for enhancing eye disease service and research

ROYAL LIVERPOOL AND BROADGREEN UNIVERSITY HOSPITALS NHS TRUST (UK)

May 2010 - May 2014

Development of effective algorithms of deblurring fundus images for improving diagnosis and management of retinal disease

ROYAL LIVERPOOL AND BROADGREEN UNIVERSITY HOSPITALS NHS TRUST (UK)

February 2010 - January 2013

Ultrasensitive OCT Imaging for Eye Disease

DEPARTMENT OF HEALTH & SOCIAL CARE (UK)

February 2015 - January 2019

    Research collaborations

    Liangxiu Han

    Professor

    image analyses for eye-related disease; UKRI project

    Alan Cameron

    Dr

    University of Glasgow

    AI and Stroke and Atrial Fibrillation

    Yaochun Shen

    Professor

    new imaging technologies for eye diseases

    Frans Coenen

    Professor

    Image mining for the diagnosis of eye disease. Co-supervise PhD student.

    Stephen Kaye

    Professor

    Ocular surfaces diseases and corneal imaging