Publications (106) José Francisco Sigut Saavedra publications

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2026

  1. A novel superpixel based Vision Transformer for improving interpretability in glaucoma screening

    Scientific Reports, Vol. 16, Núm. 1

2025

  1. Systematic application of saliency maps to explain the decisions of convolutional neural networks for glaucoma diagnosis based on disc and cup geometry

    Biomedical Physics and Engineering Express, Vol. 11, Núm. 2

  2. Using Shapley Values to Explain the Decisions of Convolutional Neural Networks in Glaucoma Diagnosis

    Algorithms, Vol. 18, Núm. 8

  3. Vulnerabilities of machine learning algorithms to adversarial attacks in medical images

    Proceedings - European Council for Modelling and Simulation, ECMS

2024

  1. Fovea localization in retinal images using spatial color histograms

    Multimedia Tools and Applications, Vol. 83, Núm. 6, pp. 17753-17771

  2. In-Depth Evaluation of Saliency Maps for Interpreting Convolutional Neural Network Decisions in the Diagnosis of Glaucoma Based on Fundus Imaging

    Sensors, Vol. 24, Núm. 1

  3. Optic cup segmentation of stereo retinal fundus images using virtual reality

    Multimedia Tools and Applications, Vol. 83, Núm. 4, pp. 9669-9683

2023

  1. Comparison of the Performance of Convolutional Neural Networks and Vision Transformer-Based Systems for Automated Glaucoma Detection with Eye Fundus Images

    Applied Sciences (Switzerland), Vol. 13, Núm. 23

  2. Interpretable surrogate models to approximate the predictions of convolutional neural networks in glaucoma diagnosis

    Machine Learning: Science and Technology, Vol. 4, Núm. 4

2021

  1. Análisis de la capa de células ganglionares con deep learning en el diagnóstico de glaucoma

    Archivos de la Sociedad Española de Oftalmologia, Vol. 96, Núm. 4, pp. 181-188

2020

  1. OpenCV Basics: A Mobile Application to Support the Teaching of Computer Vision Concepts

    IEEE Transactions on Education, Vol. 63, Núm. 4, pp. 328-335

  2. RIM-ONE DL: A Unified Retinal Image Database for Assessing Glaucoma Using Deep Learning

    Image Analysis & Stereology, Vol. 39, Núm. 3, pp. 161-167

2017

  1. Ant Colony Optimization-based method for optic cup segmentation in retinal images

    Applied Soft Computing Journal, Vol. 52, pp. 409-417

  2. Contrast based circular approximation for accurate and robust optic disc segmentation in retinal images

    PeerJ, Vol. 2017, Núm. 9

  3. Relationship between Retinal Nerve Fiber Layer Thickness and Hemoglobin Present in the Optic Nerve Head in Glaucoma

    Journal of Ophthalmology, Vol. 2017

  4. Resultados de la medida de hemoglobina en la cabeza del nervio óptico usando la aplicación Laguna ONhE con identificación automática de la excavación frente a índices morfológicos y funcionales

    Congreso de la Sociedad Española de Oftalmología SEO (93ª.2017. Zaragoza)

2016

  1. Estimating the Amount of Hemoglobin in the Neuroretinal Rim Using Color Images and OCT

    Current Eye Research, Vol. 41, Núm. 6, pp. 798-805

  2. Measuring Hemoglobin Levels in the Optic Nerve Head for Glaucoma Management

    Glaucoma Imaging (Springer), pp. 265 - 280

  3. Measuring hemoglobin levels in the optic nerve head for glaucoma management

    Glaucoma Imaging (Springer), pp. 265-280

  4. Topographic estimation of hemoglobin in the optic nerve head using only conventional photographic images

    International Visual Field and Imaging Symposium (22. 2016. Udine)