Publicacións (61)

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

    Proceedings of SPIE - The International Society for Optical Engineering

2016

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

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  2. Comparing machine learning techniques in a hyperemia grading framework

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

  3. 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

  4. CASDES: A Computer-Aided System to Support Dry Eye Diagnosis Based on Tear Film Maps

    IEEE Journal of Biomedical and Health Informatics, Vol. 20, Núm. 3, pp. 936-943

2015

  1. 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)

  2. Automatic grading system for human tear films

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

2014

  1. Tear film maps based on the lipid interference patterns

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

  2. Feature selection applied to human tear film classification

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

  3. Dry eye characterization by analyzing tear film images

    Ophthalmological Imaging and Applications (CRC Press), pp. 449-475

  4. Automatization of dry eye syndrome tests

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

  5. 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

  6. A methodology for improving tear film lipid layer classification

    IEEE Journal of Biomedical and Health Informatics, Vol. 18, Núm. 4, pp. 1485-1493

2013

  1. Measuring the area of tear film break-up by image analysis software

    Proceedings of SPIE - The International Society for Optical Engineering

  2. Computational Approach for Measuring the Tear Film Break-Up Time in an Unsupervised Manner

    Communications in Computer and Information Science

  3. Colour texture segmentation of tear film lipid layer images

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

  4. Break-up analysis of the tear film based on time, location, size and shape of the rupture area

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

  5. Automatic classification of the interferential tear film lipid layer using colour texture analysis

    Computer Methods and Programs in Biomedicine, Vol. 111, Núm. 1, pp. 93-103