Nicolas Jaccard

International Center of New York — United States

Medicine · Health Sciences

19h-index954citations46works0.02yr avg
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Research Topics

Retinal Imaging and Analysis(20), Glaucoma and retinal disorders(12), Retinal Diseases and Treatments(9), Advanced X-ray and CT Imaging(9), Advanced Neural Network Applications(8)

Publications46 total

AIROGS: Artificial Intelligence for Robust Glaucoma Screening Challenge
IEEE Transactions on Medical Imaging·2023· 68 citedOpen Access
Feasibility and acceptance of artificial intelligence-based diabetic retinopathy screening in Rwanda
British Journal of Ophthalmology·2023· 17 cited
AIROGS: Artificial Intelligence for RObust Glaucoma Screening Challenge
arXiv (Cornell University)·2023· 19 citedOpen Access
CHILDSTAR: CHIldren Living With Diabetes See and Thrive with AI Review
Clinical Medicine Insights Endocrinology and Diabetes·2023· 2 citedOpen Access
Impact of Artificial Intelligence Assessment of Diabetic Retinopathy on Referral Service Uptake in a Low-Resource Setting
Ophthalmology Science·2022· 62 citedOpen Access
Rotterdam EyePACS AIROGS train set
2021· 8 citedOpen Access
Rotterdam EyePACS AIROGS train set - Part 2/2
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Rotterdam EyePACS AIROGS train set - Part 1/2
Zenodo (CERN European Organization for Nuclear Research)·2021Open Access
Rotterdam EyePACS AIROGS train set
Zenodo (CERN European Organization for Nuclear Research)·2021· 1 citedOpen Access
Rotterdam EyePACS AIROGS train set - Part 2/2
2021· 1 citedOpen Access
Evaluation of an AI system for the detection of diabetic retinopathy from images captured with a handheld portable fundus camera: the MAILOR AI study
Eye·2020· 49 citedOpen Access
DISEASE CLASSIFICATION OF MACULAR OPTICAL COHERENCE TOMOGRAPHY SCANS USING DEEP LEARNING SOFTWARE
Retina·2019· 29 cited
Evaluation of an AI System for the Detection of Diabetic Retinopathy from Images Captured with a Handheld Portable Fundus Camera: the MAILOR AI study
arXiv (Cornell University)·2019· 4 citedOpen Access
Evaluation of the Pegasus Deep Learning System for identifying Glaucomatous OpticNeuropathy Based on Color Fundus Photographs
Investigative Ophthalmology & Visual Science·2019Open Access
Disease classification of macular Optical Coherence Tomography scans using deep learning software: validation on independent, multi-centre data
arXiv (Cornell University)·2019· 2 citedOpen Access
Disease classification of macular Optical Coherence Tomography scans\n using deep learning software: validation on independent, multi-centre data
arXiv (Cornell University)·2019Open Access
Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment Study
Eye·2019· 5 citedOpen Access
Evaluation of an AI system for the automated detection of glaucoma from\n stereoscopic optic disc photographs: the European Optic Disc Assessment Study
arXiv (Cornell University)·2019Open Access
Automated Evaluation of Optic Disc Images for Manifest Glaucoma Detection Using a Deep-Learning, Neural Network-Based Algorithm
Investigative Ophthalmology & Visual Science·2018· 5 citedOpen Access
Getting it right first time with OCT
Optician·2017· 1 cited
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Frequent Co-authors

Lewis D. Griffin(19), Thomas W. Rogers(18), Sameer Trikha(10), Nicolas Szita(9), Koenraad A. Vermeer(9), Hans G. Lemij(9), Edward J. Morton(9), Coen de Vente(7), Bram van Ginneken(7), Clara I. Sá‎nchez(7), Alexandre Super(6), Rhys J. Macown(5), Farlan Veraitch(5), Noelle Whitestone(3), Jennifer L. Patnaik(3), Gabriella Lanouette(3), Nathan Congdon(3), David L. Hacker(3), Florian Μ. Wurm(3), Kanwal K. Bhatia(3)