133 citations · 287 across the 4 of their papers we have counts for
4 papers
DRGRADUATE: uncertainty-aware deep learning-based diabetic retinopathy grading in eye fundus images
Teresa Araújo, Guilherme Aresta, Luís Mendonça +5
Diabetic retinopathy (DR) grading is crucial in determining the adequate treatment and follow up of patients, but the screening process can be tiresome and prone to errors. Deep le…
UOLO - automatic object detection and segmentation in biomedical images
Teresa Araújo, Guilherme Aresta, Adrian Galdran +3
We propose UOLO, a novel framework for the simultaneous detection and segmentation of structures of interest in medical images. UOLO consists of an object segmentation module which…
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Adrian Galdran, Aitor Alvarez-Gila, Maria Ines Meyer +7
Dermoscopic skin images are often obtained with different imaging devices, under varying acquisition conditions. In this work, instead of attempting to perform intensity and color…
Towards Adversarial Retinal Image Synthesis
Pedro Costa, Adrian Galdran, Maria Inês Meyer +4
Synthesizing images of the eye fundus is a challenging task that has been previously approached by formulating complex models of the anatomy of the eye. New images can then be gene…