Yichen Liu
A5080994861- Retinal Imaging and Analysis
- Retinal Diseases and Treatments
- Retinal Development and Disorders
- Retinal and Optic Conditions
- Ocular Diseases and Behçet’s Syndrome
- Matrix Theory and Algorithms
University College London
2022-2024
Delft University of Technology
2024
Moorfields Eye Hospital NHS Foundation Trust
2023
Moorfields Eye Hospital
2023
Institute of Ophthalmology
2022
Introduction Inherited retinal diseases (IRD) are a leading cause of visual impairment and blindness in the working age population. Mutations over 300 genes have been found to be associated with IRDs identifying affected gene patients by molecular genetic testing is first step towards effective care patient management. However, diagnosis currently slow, expensive not widely accessible. The aim current project address evidence gap IRD an AI algorithm, Eye2Gene, accelerate democratise service....
Abstract Purpose To quantify relevant fundus autofluorescence (FAF) image features cross-sectionally and longitudinally in a large cohort of inherited retinal diseases (IRDs) patients. Design Retrospective study imaging data (55-degree blue-FAF on Heidelberg Spectralis) from Participants Patients with clinical molecularly confirmed diagnosis IRD who have undergone FAF 55-degree at Moorfields Eye Hospital (MEH) the Royal Liverpool (RLH) between 2004 2019. Methods Five interest were defined:...
Abstract Rare eye diseases such as inherited retinal (IRDs) are challenging to diagnose genetically. IRDs typically monogenic disorders and represent a leading cause of blindness in children working-age adults worldwide. A growing number now being targeted clinical trials, with approved treatments increasingly available. However, access requires genetic diagnosis be established sufficiently early. Critically, the timely identification remains challenging. We demonstrate that deep-learning...
To quantify relevant fundus autofluorescence (FAF) features cross-sectionally and longitudinally in a large cohort of patients with inherited retinal diseases (IRDs). Retrospective study imaging data. Patients clinical molecularly confirmed diagnosis IRD who have undergone 55° FAF at Moorfields Eye Hospital (MEH) the Royal Liverpool between 2004 2019. Five interest were defined: vessels, optic disc, perimacular ring increased signal (ring), relative hypo-autofluorescence (hypo-AF),...
Abstract Purpose To develop an automated system for assessing the quality of Fundus Autofluorescence (FAF) images in patients with inherited retinal diseases (IRD). Methods We annotated a dataset 2445 FAF from Inherited Retinal Dystrophies which were assessed by three different expert graders. Graders marked as either gradable (acceptable quality) or ungradable (poor quality), following strict grading protocol. This was used to train Convolutional Neural Network (CNN) classification model...