Area of research
Epidemiology · Ophthalmology
Research interest
Research focused on Optical coherence tomography and Macular degeneration, with related work in Artificial intelligence, Discriminative model, Pattern recognition (psychology). Notable publications include 'Depressive symptoms in people with vision impairment: a cross-sectional study to identify who is most at risk', 'Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images', and 'Learning feature extractors for AMD classification in OCT using convolutional neural networks'.
Depressive symptoms in people with vision impairment: a cross-sectional study to identify who is most at risk
Feature analysis of the choroid in optical coherence tomography images – limitations and opportunities
Investigative Ophthalmology & Visual Science 2019cited by 1position: middle
Can assistive digital technologies boost wellbeing in people with sight loss
Investigative Ophthalmology & Visual Science 2019cited by 0position: last
Learning feature extractors for AMD classification in OCT using convolutional neural networks
AMD Classification in Choroidal OCT Using Hierarchical Texton Mining
Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images
Automated classification of age-related macular degeneration using choroidal optical coherence tomography imaging - a pilot study