Publicacións en colaboración con investigadores/as de Universidade da Coruña (94)

2025

  1. Efficient semi-supervised hierarchical training for segmenting choroidal vessels and other structures on OCT images of multiple sclerosis patients

    Biomedical Signal Processing and Control, Vol. 100

2023

  1. Deep Learning for Segmentation of Optic Disc and Retinal Layers in Peripapillary Optical Coherence Tomography Images

    Proceedings of SPIE - The International Society for Optical Engineering

  2. Enhancing Pathological Detection and Monitoring in OCT Volumes with Limited Slices using Convolutional Neural Networks and 3D Visualization Techniques

    VI Congreso XoveTIC: impulsando el talento científico

  3. Generation of synthetic intermediate slices in 3D OCT cubes for improving pathology detection and monitoring

    Computers in Biology and Medicine, Vol. 163

  4. Influence of Storage Time on the DNA Integrity and Viability of Spermatozoa of the Spider Crab Maja brachydactyla

    Animals, Vol. 13, Núm. 22

2022

  1. Fully automatic segmentation of the choroid in non-EDI OCT images of patients with multiple sclerosis

    Procedia Computer Science

2021

  1. Automated segmentation of the central serous chorioretinopathy fluid regions using optical coherence tomography scans

    Proceedings - IEEE Symposium on Computer-Based Medical Systems

2020

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

    Frontiers in Artificial Intelligence and Applications

2019

  1. Automatic retinal vascularity identification and artery/vein classification using near-infrared reflectance retinographies

    Communications in Computer and Information Science

2018

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

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

  2. 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)

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

    2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)

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

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

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

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

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

    Proceedings of SPIE - The International Society for Optical Engineering

  7. 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