133 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Universidade do PortoPT2 papers
- Charles UniversityCZ1 paper
- CY Cergy Paris UniversitéFR1 paper
- École Polytechnique Fédérale de LausanneCH1 paper
- Flemish Institute for Technological ResearchBE1 paper
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ1 paper
- Hasselt UniversityBE1 paper
- Hospital BragaPT1 paper
- INESC TECPT1 paper
- Institute of Experimental Physics of the Slovak Academy of SciencesSK1 paper
- Institute of Physics of the Slovak Academy of SciencesSK1 paper
- Johannes Kepler University of LinzAT1 paper
Showing eess.IVShow all
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eess.IV2021★ 109 cited
Deep learning on fundus images detects glaucoma beyond the optic disc
Ruben Hemelings, Bart Elen, João Barbosa-Breda +3
Although unprecedented sensitivity and specificity values are reported, recent glaucoma detection deep learning models lack in decision transparency. Here, we propose a methodology…
eess.IV2019★ 133 cited
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…