Early Stage Researcher 3.4: Carlos Hernandez Matas

I’m Carlos Hernández Matas, the person appointed as Early Stage Researcher 3.4 of the REVAMMAD project. That means that I will be doing research related to hypertension for 36 months at the Institute of Computer Science of the Foundation for Research and Technology – Hellas (FORTH-ICS), in Heraklion, Greece. I will also spend some time working at the University of Padova, in Italy, and at the University of Lincoln, in England. In addition, I will pursue my Ph.D. at the Computer Science Department of the University of Crete, in Greece.

The objectives of my position involve 3 main points:

  • The application of algorithms for automatic identification of retinal vessels for clinical parameters related to hypertension.
  • Developing realiable algorithms for automatic registration of retinal images acquired at different time periods (follow up examinations).
  • Comparison of dimensions and clinical parameters in healthy and hypertensive patients in order to provide a predictive tests for hypertension from retinal images.

I hold a Master of Science in Systems, Control and Robotics from the Royal Institute of Technology, in Stockholm, Sweden, where I specialized in computer vision, machine learning and artificial intelligence. I also have a Bachelor in Telecommunications Engineering with major in Electronic Systems from the Technical University of Madrid, Spain. My professional experience involves working as software engineer and teaching assistant, among others. Some more information about me can be found in my personal webpage: http://carlos.hernandez.im

Currently I’m working on applying registration and super resolution algorithms to retinal fundus images, as a way to improve the information provided by single images, as well to be able to track temporal differences that may exist (usually, caused by different sicknesses).

But I will save details regarding my research for a future post, as this one is intended to be just a short presentation about myself!


REVAMMAD Press Release from Lincoln University


November 28th, 2012 

Lincoln to train new generation of scientists to detect diseases through retinal imaging

A multi-million European project aimed at combating some of the EU’s most prevalent chronic medical conditions is being led by academics at the University of Lincoln.

The REtinal Vascular Modelling, Measurement and Diagnosis (REVAMMAD) project aims to train a new generation of interdisciplinary scientists for the academic, clinical and industrial sectors, and to trigger a new wave of biomedical interventions.

PhD students will be trained by some of the EU’s leading academics and practitioners to further advances in diagnosis, prognosis and prevention of diseases such as diabetes, hypertension, stroke and coronary heart disease and retinal diseases.

Funded by the European Union’s 7th Framework (FP7) Marie Curie Initial Training Network programme, the University of Lincoln has been awarded 900,000 euros from the 3.8 million euro budget to lead the project and to develop retinal imaging and measurement training and research.

The University’s School of Computer Science has a strong track record in retinal image processing, having developed techniques to support automated diagnosis of retinal diseases such as diabetic retinopathy, which can eventually lead to blindness, and new model-based methods for vascular segmentation (image processing of the blood vessels).

The retina provides a unique window into the circulatory system (vasculature) making it an appropriate organ for diagnostic purposes, even for vascular diseases primarily affecting other organs.

Further research into measuring subtle changes in this area will enable the risk of conditions developing to be detected and tracked non-invasively through routine procedures such as standard eye tests at opticians.

Along with partners in the UK, France, Germany, Denmark, Italy and Greece, academics at the University of Lincoln will create a cohort of young researchers able to effectively translate the latest vascular modelling theory and computerised image analysis techniques into effective disease interventions.

Professor Andrew Hunter, Pro Vice Chancellor and Head of College of Science, is the project originator and coordinator and has ten years’ experience in retinal imaging.

He said: The vasculature plays a key role in chronic medical conditions that account for an increasing proportion of EU member state healthcare costs, including Alzheimer’s, diabetes, stroke and coronary heart disease. These issues have ignited considerable interest in computerised analysis of vascular images, to support scientific enquiry, diagnosis, prognosis and screening. However, until now research has been fragmented. There is therefore a clear need to establish a research community that integrates modelling, measurement and clinical investigation. This requires the training of a community of interdisciplinary experts with the scientific and mathematical expertise to determine how physiological changes can affect the vasculature, the computer vision skills to detect measurements that are correlated to such changes, and the medical expertise to relatethese to effective prognosis and diagnosis. We therefore brought together the REVAMMAD project to provide a generation of experts with a unique blend of skills uniting theory, modelling, measurement and decision support, laying the ground work for improved retinal research in the next generation.”

The Initial Training Network (ITN) includes clinicians, hemodynamic (blood movement) theorists, physiologists, imaging experts (retinal and other major vascular systems) pharmacologists and healthcare/bioinformatics companies.

The PhD students will be trained through one common basic scientific course, several blocks of additional modules, plus individual on-site and on-the-job experience at the host partner but also during workshops and summer schools. The breadth of training would not be possible without a European approach because no individual partner or country has the full range of desired expertise or training courses.

Commenting on the ITN, Prof Hunter added: “The training programme will provide facilities that can accommodate any type of PhD student. It will give students the opportunity to learn and develop state of the art techniques and methodologies while working across disciplines. This will help to integrate research around an ambitious programme that will establish a clear EU lead. Improved screening, prognosis and diagnosis for multiple age-related conditions will have a significant impact on health-care costs and quality of life.” 

David Steel, Consultant Ophthalmologist at Sunderland Eye Infirmary, a clinical partner in the project, said: “We are excited at the potential enhanced image analysis of the retinal vasculature could offer in terms of earlier diagnosis of both systemic and ophthalmic diseases. Retinal photography is a simple test offered by high street opticians around the country – potentially we could extract a great deal more important information from these images than we currently do and in turn  improve our understanding and management of patients with a range of serious diseases.” 


Notes for Editors:

Full Network Participants:

The University of Lincoln, School of Computer Science – UK

VirtualPie Ltd. T/A BHR Group – UK

Inria, France

Charite – Universitätsmedizin Berlin, Department of Physiology – Germany

University of Dundee, School of Computing – UK

University of Copenhagan, Department of Biomedical Sciences – Denmark

Aarhus University Hospital, Department Ophthalmology – Denmark

University of Padova, Biomedical Imaging Lab – Italy

Orobix – Italy

Foundation for Research and Technology (FORTH-ICS) – Greece

Associated Partners:

Sunderland Eye Infirmary – UK

Centervue – Italy

Hippokration General Hospital Thessaloniki, Aristotelian University – Greece

Foundation for Research and Technology – Greece

Medalytix Ltd – UK

Queens University Belfast – UK

University College London – UK

About the Marie Curie Initial Training Network programme:

‘Framework programmes’ (FPs) have been the main financial tools through which the European Union supports research and development activities covering almost all scientific disciplines. The Marie Curie InitialTraining Networks provide training and research experience for researchers of any age or nationality by giving them the opportunity to spend between three months to three years in another country as part of an international high-quality research project. The networks contribute to the transfer of knowledge through the promotion of multidisciplinary research. The schemes also support the interaction and exchange of all research staff working on the project. Project number: 316990

About the School of Computer Science at the University of Lincoln:

The School of Computer Science at the University of Lincoln has a number of specialized research centres, including the Laboratory of Vision Engineering, which specialises in healthcare, scientific, security and environmental applications, including retinal imaging. There are two members of academic staff and several PhD students working on various aspects of retinal imaging.

The contents of this press release reflect the views of the authors. The European Union is not liable for any use that may be made of the information contained therein.