Noelia
Barreira Rodríguez
Profesora Titular de Universidad
María Luisa
Sánchez Brea
Publicaciones en las que colabora con María Luisa Sánchez Brea (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
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Precise segmentation of the bulbar conjunctiva for hyperaemia images
Pattern Analysis and Applications, Vol. 21, Núm. 2, pp. 563-577
2017
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Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva
Proceedings of the International Joint Conference on Neural Networks
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Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva
2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
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On the analysis of local and global features for hyperemia grading
Proceedings of SPIE - The International Society for Optical Engineering
2016
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Comparing machine learning techniques in a hyperemia grading framework
ICAART 2016 - Proceedings of the 8th International Conference on Agents and Artificial Intelligence
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On the analysis of feature selection techniques in a conjunctival hyperemia grading framework
ESANN 2016 - 24th European Symposium on Artificial Neural Networks
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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
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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)
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Automatic identification of vessel crossovers in retinal images
Proceedings of SPIE - The International Society for Optical Engineering
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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
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Computer aided diagnosis system for retinal analysis: Automatic assessment of the vascular tortuosity
Studies in Health Technology and Informatics