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.

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.

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.

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.

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!

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.