Publicacións en colaboración con investigadores/as de Universidade de Santiago de Compostela (123)

2024

  1. Are artificial intelligence chatbots a reliable source of information about contact lenses?

    Contact Lens and Anterior Eye, Vol. 47, Núm. 2

  2. Finite sets containing zero are mapping degree sets

    Advances in Mathematics, Vol. 457

  3. Realization of Permutation Modules via Alexandroff Spaces

    Results in Mathematics, Vol. 79, Núm. 4

2023

  1. Comprehensive fully-automatic multi-depth grading of the clinical types of macular neovascularization in OCTA images

    Applied Intelligence, Vol. 53, Núm. 21, pp. 25897-25918

  2. NEmecum: digital tool for assisting in the prescription and dispensing of enteral nutrition formulas and infant preparations

    Nutricion Hospitalaria, Vol. 40, Núm. 5, pp. 924-933

2022

  1. Validation of a New Software Application for Tear Breakup Measurement

    Optometry and Vision Science, Vol. 99, Núm. 2, pp. 159-166

2020

  1. Automatic Identification of Diabetic Macular Edema Biomarkers Using Optical Coherence Tomography Scans

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

  2. Cholecystokinin in the central nervous system of the sea lamprey Petromyzon marinus: precursor identification and neuroanatomical relationships with other neuronal signalling systems

    Brain Structure and Function, Vol. 225, Núm. 1, pp. 249-284

  3. Joint Diabetic Macular Edema Segmentation and Characterization in OCT Images

    Journal of Digital Imaging, Vol. 33, Núm. 5, pp. 1335-1351

2019

  1. A novel automatic method to estimate visual acuity and analyze the retinal vasculature in retinal vein occlusion using swept source optical coherence tomography angiography

    Journal of Clinical Medicine, Vol. 8, Núm. 10

  2. Retinal vascular analysis in a fully automated method for the segmentation of DRT edemas using OCT images

    Procedia Computer Science

2018

  1. Automatic identification of macular edema in optical coherence tomography images

    VISIGRAPP 2018 - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  2. Automatic macular edema identification and characterization using OCT images

    Computer Methods and Programs in Biomedicine, Vol. 163, pp. 47-63

  3. Machine Learning Applied to Optometry Data

    Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 123-160

  4. Precise segmentation of the bulbar conjunctiva for hyperaemia images

    Pattern Analysis and Applications, Vol. 21, Núm. 2, pp. 563-577

2017

  1. Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva

    2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

  2. Assessment of the repeatability in an automatic methodology for hyperemia grading in the bulbar conjunctiva

    Proceedings of the International Joint Conference on Neural Networks

  3. On the analysis of local and global features for hyperemia grading

    Proceedings of SPIE - The International Society for Optical Engineering

2016

  1. A VIRTUAL BENCH TO EXPLAIN GEOMETRIC OPTICS USING MATLAB GUIDE ENVIRONMENT

    EDULEARN16: 8TH INTERNATIONAL CONFERENCE ON EDUCATION AND NEW LEARNING TECHNOLOGIES

  2. A methodology for the analysis of spontaneous reactions in automated hearing assessment

    IEEE Journal of Biomedical and Health Informatics, Vol. 20, Núm. 1, pp. 376-386