Publicacións nas que colabora con Hugo Pena Verdeal (12)

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

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

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

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

2014

  1. Automatic assessment of tear film break-up dynamics

    Studies in Health Technology and Informatics

  2. On the automation of the tear film non-invasive break-up test

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

2013

  1. 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)

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

    Communications in Computer and Information Science

2012

  1. Adaptive parameter computation for the automatic measure of the tear break-up time

    Frontiers in Artificial Intelligence and Applications, Vol. 243, pp. 1370-1379