Publikationen (71) Publikationen von ANTONIO MOSQUERA GONZALEZ

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. 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

  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 analysis of feature selection techniques in a conjunctival hyperemia grading framework

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

  4. 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. Automatic grading system for human tear films

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

  2. 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)

2014

  1. A methodology for improving tear film lipid layer classification

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

  2. 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

  3. Automatization of dry eye syndrome tests

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

  4. Dry eye characterization by analyzing tear film images

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

  5. Feature selection applied to human tear film classification

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

  6. Tear film maps based on the lipid interference patterns

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

2013

  1. 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

  2. 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)

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

    Communications in Computer and Information Science

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

    Proceedings of SPIE - The International Society for Optical Engineering