activity
20162023
most citedAIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

19 citations · 22 across the 5 of their papers we have counts for

collaborators

6 papers

eess.IV2023★ 19 cited

AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge

Coen de Vente, Koenraad A. Vermeer, Nicolas Jaccard +33

The early detection of glaucoma is essential in preventing visual impairment. Artificial intelligence (AI) can be used to analyze color fundus photographs (CFPs) in a cost-effectiv…

eess.IV2019★ 2 cited

Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data

Kanwal K. Bhatia, Mark S. Graham, Louise Terry +4

Purpose: To evaluate Pegasus-OCT, a clinical decision support software for the identification of features of retinal disease from macula OCT scans, across heterogenous populations…

cs.CV2019

Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study

Thomas W. Rogers, Nicolas Jaccard, Francis Carbonaro +4

Objectives: To evaluate the performance of a deep learning based Artificial Intelligence (AI) software for detection of glaucoma from stereoscopic optic disc photographs, and to co…

cs.CV2016

Automated detection of smuggled high-risk security threats using Deep Learning

Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton +1

The security infrastructure is ill-equipped to detect and deter the smuggling of non-explosive devices that enable terror attacks such as those recently perpetrated in western Euro…

cs.CV2016★ 1 cited

Automated X-ray Image Analysis for Cargo Security: Critical Review and Future Promise

Thomas W. Rogers, Nicolas Jaccard, Edward J. Morton +1

We review the relatively immature field of automated image analysis for X-ray cargo imagery. There is increasing demand for automated analysis methods that can assist in the inspec…

cs.CV2016

Detection of concealed cars in complex cargo X-ray imagery using Deep Learning

Nicolas Jaccard, Thomas W. Rogers, Edward J. Morton +1

Non-intrusive inspection systems based on X-ray radiography techniques are routinely used at transport hubs to ensure the conformity of cargo content with the supplied shipping man…