Publicacións (96) Publicacións de Noelia Barreira Rodríguez

2020

  1. Multimodal transfer learning-based approaches for retinal vascular segmentation

    Frontiers in Artificial Intelligence and Applications

2018

  1. Hydra, a computer-based platform for aiding clinicians in cardiovascular analysis and diagnosis

    Journal of Visualized Experiments, Vol. 2018, Núm. 139

  2. IEduLAB: desenvolvemento de simulacións para o ensino. Unha experiencia de traballo colaborativo escola-universidade

    Revista galega de educación, Núm. 70, pp. 82-84

  3. Interactive Three-Dimensional Visualization System of the Vascular Structure in OCT Retinal Images

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

  4. Machine Learning Applied to Optometry Data

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

  5. Precise segmentation of the bulbar conjunctiva for hyperaemia images

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

2017

  1. Artery/vein classification of blood vessel tree in retinal imaging

    VISIGRAPP 2017 - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  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. Enhanced visualization of the retinal vasculature using depth information in OCT

    Medical and Biological Engineering and Computing, Vol. 55, Núm. 12, pp. 2209-2225

  4. Hydra: A web-based system for cardiovascular analysis, diagnosis and treatment

    Computer Methods and Programs in Biomedicine, Vol. 139, pp. 61-81

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

    Proceedings of SPIE - The International Society for Optical Engineering

  6. Wivern: a Web-Based System Enabling Computer-Aided Diagnosis and Interdisciplinary Expert Collaboration for Vascular Research

    Journal of Medical and Biological Engineering, Vol. 37, Núm. 6, pp. 920-935