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20172026
most citedREFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

858 citations · 1.1k across the 10 of their papers we have counts for

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9 papers · 1 filter

cs.CV2026

End-to-end plaque counting and virus titration from laboratory plate images with deep learning

Eugenia Moris, Alicia Costábile, Sebastián Rey +11

Plaque assays remain the gold standard readout of virus infectivity; however, plaque counting from plate images is labor-intensive and prone to inter-operator variability. We prese…

cs.CV2025

Evaluating Fundus-Specific Foundation Models for Diabetic Macular Edema Detection

Franco Javier Arellano, José Ignacio Orlando

Diabetic Macular Edema (DME) is a leading cause of vision loss among patients with Diabetic Retinopathy (DR). While deep learning has shown promising results for automatically dete…

cs.CV2020★ 9 cited

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

Huazhu Fu, Fei Li, Xu Sun +22

Angle closure glaucoma (ACG) is a more aggressive disease than open-angle glaucoma, where the abnormal anatomical structures of the anterior chamber angle (ACA) may cause an elevat…

cs.CV2019

SketchZooms: Deep multi-view descriptors for matching line drawings

Pablo Navarro, José Ignacio Orlando, Claudio Delrieux +1

Finding point-wise correspondences between images is a long-standing problem in image analysis. This becomes particularly challenging for sketch images, due to the varying nature o…

cs.CV2019★ 858 cited

REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs

José Ignacio Orlando, Huazhu Fu, João Barbossa Breda +28

Glaucoma is one of the leading causes of irreversible but preventable blindness in working age populations. Color fundus photography (CFP) is the most cost-effective imaging modali…

cs.CV2019

Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation

Philipp Seeböck, David Romo-Bucheli, Sebastian Waldstein +5

Optical coherence tomography (OCT) has become the most important imaging modality in ophthalmology. A substantial amount of research has recently been devoted to the development of…