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Research Opportunity
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Research Opportunity

Computer Vision in Medical Imaging


Work description

The research group in which the fellow will be integrated has extensive experience in the development of methodologies for the analysis of retinal images. The work plan now proposed consists of the development of image analysis/computer vision methods for the extraction of biomarkers associated with the retinal vascular network, namely the tortuosity associated with the vessels that constitute this vascular network. The extracted biomarkers could later be used for the prognosis of rare diseases, namely Fabry disease.

Academic Qualifications

Master´s student in Biomedical Engineering, Computer Engineering, Computer Science, or related

Minimum profile required

Average degree equal to or greater than 14; experience in computer vision and/or deep learning.

Preference factors

Experience in chest x-ray image analysis; Python and PyTorch/Keras experience; desire to carry out a master's thesis in the area.

Application Period

Since 20 Jul 2022 to 02 Aug 2022


Cluster / Centre

Networked Intelligent Systems / Biomedical Engineering Research

Scientific Advisor

Ana Maria Mendonça