Publicacións nas que colabora con EVA YEBRA-PIMENTEL VILAR (13)

2018

  1. 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

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)

2014

  1. Dry eye characterization by analyzing tear film images

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

  2. Automatization of dry eye syndrome tests

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

  3. 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

2013

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

    Proceedings of SPIE - The International Society for Optical Engineering

  2. 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)

  3. 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)

2012

  1. Statistical comparison of classifiers applied to the interferential tear film lipid layer automatic classification

    Computational and Mathematical Methods in Medicine, Vol. 2012

2011

  1. Texture and color analysis for the automatic classification of the eye lipid layer

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