Lucía
Ramos
Publikationen, an denen er mitarbeitet Lucía Ramos (13)
2022
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Validation of a New Software Application for Tear Breakup Measurement
Optometry and Vision Science, Vol. 99, Núm. 2, pp. 159-166
2016
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Diurnal variations in tear film break-up time determined in healthy subjects by software-assisted interpretation of tear film video recordings
Clinical and Experimental Optometry, Vol. 99, Núm. 2, pp. 142-148
2015
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Computational approach for tear film assessment based on break-up dynamics
Biosystems Engineering, Vol. 138, pp. 90-103
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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Automatic assessment of tear film break-up dynamics
Studies in Health Technology and Informatics
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Automatization of dry eye syndrome tests
Image Analysis and Modeling in Ophthalmology (CRC Press), pp. 293-320
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On the automation of the tear film non-invasive break-up test
Proceedings - IEEE Symposium on Computer-Based Medical Systems
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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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)