Publicacións en colaboración con investigadores/as de Universidade da Coruña (11)

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

2024

  1. Evolutionary multi-target neural network architectures for flow void analysis in optical coherence tomography angiography

    Applied Soft Computing, Vol. 153

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. Fully automatic segmentation and monitoring of choriocapillaris flow voids in OCTA images

    Computerized Medical Imaging and Graphics, Vol. 104

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

    Computers in Biology and Medicine, Vol. 163

2022

  1. Early changes in choriocapillaris flow voids as an efficacy biomarker of photodynamic therapy in central serous chorioretinopathy

    Photodiagnosis and Photodynamic Therapy, Vol. 38

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

    Procedia Computer Science

  3. Fully-Automatic 3D Intuitive Visualization of Age-Related Macular Degeneration Fluid Accumulations in OCT Cubes

    Journal of Digital Imaging, Vol. 35, Núm. 5, pp. 1271-1282

  4. Repeatability of choriocapillaris flow voids by optical coherence tomography angiography in central serous chorioretinopathy

    PLoS ONE, Vol. 17, Núm. 12 December

  5. Unsupervised Deformable Image Registration in a Landmark Scarcity Scenario: Choroid OCTA

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