REVAMMAD (2013 - 2017)
REVAMMAD (REtinal Vascular Modelling, Measurement and Diagnosis) was a European Union project aimed at combatting some of the EU’s most prevalent chronic medical conditions using retinal imaging. The 3.8 million euro project trained a new generation of interdisciplinary scientists for the academic, clinical and industrial sectors, and triggered a new wave of biomedical interventions. The PhD students received training by some of the EU’s leading academics and practitioners to achieve further advances in diagnosis, prognosis and prevention of diseases such as diabetes, hypertension, stroke and coronary heart disease and retinal diseases.
My involvement in this project mainly consisted on employing diverse computer vision techniques, such as image registration or super resolution, to improve image quality as well as facilitating the analysis of retinal images by clinicians, allowing them to perform faster and more accurate diagnoses. This work lead to a Ph.D. from the University of Crete (Greece), the release of the software created as well as a dataset that is becoming the de facto standard for retinal image registration evaluation, and a series of publications that are listed below.