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 groups
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