Image Analysis and Machine Learning Platform for Innovation in Diabetic Retinopathy Screening Overview: ARSN is implementing a mass screening for diabetic retinopathy (DR), with the goal of making eye exam of about 75% of identified diabetics. The vision of the consortium SCREEN-DR is to create a distributed and automatic screening […]


RetinaCAD System   Overview: Retinal vascular biomarkers can be useful for the early detection and diagnosis of several systemic diseases, such as Hypertension Diabetes Cerebrovascular diseases Cardiovascular diseases RetinaCAD is a computer-aided diagnosis system for fast, reliable and automatic measurement of several retinal biomarkers, namely the Central Retinal Arteriolar Equivalent […]


Overview: The function of the choroid, the middle layer of the eye globe, is to provide metabolic needs to the retina and to regulate ocular pressure and temperature. The vascular nature of the choroid makes the variations of its thickness an indication for the ocular health. Pathologies such as retinitis […]


We created a series of lectures on Python for Machine Learning and Computer Vision. This was a joint collaboration between the Center for Biomedical Engineering Research (CBER) and the Center for Telecommunications and Multimedia (CTM) at INESC-TEC for our new research fellows. These lectures cover the following topics: Python – Ricardo Cruz ( […]

Python for Machine Learning

Automatic Lumen Detection on Longitudinal Ultrasound B-Mode Images of the Carotid Using Phase Symmetry   Overview: This project developed a method to improve the performance of previous approaches for the automatic detection of the common carotid artery (CCA) lumen ceterline on longitudinal B-mode ultrasound images. Main Steps: Candidate lumen detection: […]