Lucía
Ramos García
Profesora Ayudante Doctora
Antonio
Mosquera González
Publicaciones en las que colabora con Antonio Mosquera González (12)
2018
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Machine Learning Applied to Optometry Data
Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 123-160
2014
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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
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Automatization of dry eye syndrome tests
Image Analysis and Modeling in Ophthalmology (CRC Press), pp. 293-320
2013
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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)
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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)
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Computational Approach for Measuring the Tear Film Break-Up Time in an Unsupervised Manner
Communications in Computer and Information Science
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Measuring the area of tear film break-up by image analysis software
Proceedings of SPIE - The International Society for Optical Engineering
2012
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Adaptive parameter computation for the automatic measure of the tear break-up time
Frontiers in Artificial Intelligence and Applications, Vol. 243, pp. 1370-1379
2011
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Automation of the tear film break-up time test
ACM International Conference Proceeding Series
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Colour texture analysis for classifying the tear film lipid layer: A comparative study
Proceedings - 2011 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2011
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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)
2010
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Color video segmentation by dissimilarity based on edges
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)