Publicacións en colaboración con investigadores/as de Universidade de Santiago de Compostela (39)

2018

  1. Machine Learning Applied to Optometry Data

    Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 123-160

  2. Precise segmentation of the bulbar conjunctiva for hyperaemia images

    Pattern Analysis and Applications, Vol. 21, Núm. 2, pp. 563-577

2017

  1. Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva

    Proceedings of the International Joint Conference on Neural Networks

  2. Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva

    2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  3. On the analysis of local and global features for hyperemia grading

    Proceedings of SPIE - The International Society for Optical Engineering

2016

  1. Comparing machine learning techniques in a hyperemia grading framework

    ICAART 2016 - Proceedings of the 8th International Conference on Agents and Artificial Intelligence

  2. Defining the optimal region of interest for hyperemia grading in the bulbar conjunctiva

    Computational and Mathematical Methods in Medicine, Vol. 2016

  3. IDEAS: A web-based system for dry eye assessment

    Computer Methods and Programs in Biomedicine, Vol. 130, pp. 186-197

  4. Interobserver variability of an open-source software for tear meniscus height measurement

    Contact Lens and Anterior Eye, Vol. 39, Núm. 4, pp. 249-256

  5. On the analysis of feature selection techniques in a conjunctival hyperemia grading framework

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  6. On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings

    Artificial Intelligence in Medicine, Vol. 71, pp. 30-42

2015

  1. A novel framework for hyperemia grading based on artificial neural networks

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Automatic grading system for human tear films

    Pattern Analysis and Applications, Vol. 18, Núm. 3, pp. 677-694

  3. Automatic selection of video frames for hyperemia grading

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. Computational approach for tear film assessment based on break-up dynamics

    Biosystems Engineering, Vol. 138, pp. 90-103

2014

  1. Analysis of parameters for the automatic computation of the tear film break-up time test based on CCLRU standards

    Computer Methods and Programs in Biomedicine, Vol. 113, Núm. 3, pp. 715-724

  2. Automatic assessment of tear film break-up dynamics

    Studies in Health Technology and Informatics

  3. Automatic segmentation of the mandible in Cone-Beam Computer Tomography images

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

  4. Automatization of dry eye syndrome tests

    Image Analysis and Modeling in Ophthalmology (CRC Press), pp. 293-320

  5. Feature selection applied to human tear film classification

    ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence