A-eye Research Group

The A-eye Research Group aims at bringing artificial intellingence solutions to healthcare and, specifically, eye care. Our expertise lies in developing retinal image analysis methods based on deep learning technology for detection, diagnosis and quantification of retinal diseases. Application areas are automated screening of eye diseases, namely AMD, DR and glaucoma, for cost-effective triage of patient at risk; extraction of quantitative image biomarkers from multimodal data for accurate analysis of large population-based datasets; and the development of computer-aided solutions for personalized diagnosis and treatment of retinal diseases.

Automated tumor detection

Highlights

All highlights

Projects

AMI

In this project we aim at developing a platform for the automated analysis of multimodal retinal imaging examinations during treatment decision in neovascular AMD.

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Foresight of blindness

The aim of this project is to automatically identify and extract imaging biomarkers using deep learning to predict progression of age-related macular degeneration.

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IMAGE-R

Project to develop an image analysis system for automated diagnosis and management of retinal diseases.

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Perspectief DLMedIA

The goal of this project is to automate the screening workflow of eye diseases using innovative techniques based on artificial neural networks.

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Members

Alessandro Ardu

Alessandro Ardu

PhD student

Bart Liefers

Bart Liefers

PhD student

Clarisa Sánchez

Clarisa Sánchez

Associate professor

Coen de Vente

Coen de Vente

PhD student

Harm van Zeeland

Harm van Zeeland

Research Software Engineer