Glaucoma

Towards a Glaucoma Risk Index Based on Simulated Hemodynamics from Fundus Images
We designed a method to summarize hemodynamic parameters obtained by 0D simulations so that they can be applied for glaucoma detection. We observed certain correlation between glaucoma and these hemodynamic features.
José Ignacio Orlando, João Barbosa Breda, Karel Van Keer, Matthew B. Blaschko, Pablo J. Blanco, Carlos A. Bulant
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REFUGE: Retinal Fundus Glaucoma Challenge
I’m joining Yanwu Xu, Huazhu Fu and Hrvoje Bogunović as an organizer of REFUGE, the first retinal fundus glaucoma challenge at MICCAI 2018 in Granada, Spain.
José Ignacio Orlando
Jul 24, 2018 1 min read News, English
Project
REFUGE: Retinal Fundus Glaucoma Challenge
New paper at MICCAI 2018!
Our paper with João Barbosa Breda, Karel van Keer, Matthew B. Blascko, Pablo J. Blanco and Carlos A. Bulant has been accepted for presentation at MICCAI 2018 in Granada, Spain.
José Ignacio Orlando
May 25, 2018 2 min read News, English
Project
New paper at MICCAI 2018!
Aprendizaje automático para asistencia al diagnóstico de enfermedades visuales basado en imágenes de fondo de ojo (Machine learning for ophthalmic screening and diagnostics from fundus images)
My PhD thesis.
José Ignacio Orlando
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Convolutional neural network transfer for automated glaucoma identification
We use pretrained VGG-S and OverFeat architectures as feature extractors for glaucoma detection in fundus pictures. We were able to get almost 0.8 AUC without fine-tuning the networks!
José Ignacio Orlando, Elena Prokofyeva, Mariana Del Fresno, Matthew B. Blaschko
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Convolutional Neural Network Transfer for Automated Glaucoma Identification
I will present my SIPAIM 2016 paper on glaucoma classification using logistic regression and pre-trained neural networks as feature extractors.
Dec 6, 2016 11:15 AM Sala de Videoconferencias. Biblioteca Central. Campus Universitario Tandil.
José Ignacio Orlando
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Convolutional Neural Network Transfer for Automated Glaucoma Identification