Publicacións en colaboración con investigadores/as de Hospital Clínico San Carlos de Madrid (14)

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. 3D Features Fusion for Automated Segmentation of Fluid Regions in CSCR Patients: An OCT-based Photodynamic Therapy Response Analysis

    JOURNAL OF IMAGING INFORMATICS IN MEDICINE

  2. Automatic simultaneous ciliary muscle segmentation and biomarker extraction in AS-OCT images using deep learning-based approaches

    Biomedical Signal Processing and Control, Vol. 90

  3. Comparative study of the glistening between four intraocular lens models assessed by OCT and deep learning

    Journal of Cataract and Refractive Surgery, Vol. 50, Núm. 1, pp. 37-42

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

    Applied Soft Computing, Vol. 153

2023

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

    Computerized Medical Imaging and Graphics, Vol. 104

  2. Robust multi-view approaches for retinal layer segmentation in glaucoma patients via transfer learning

    Quantitative Imaging in Medicine and Surgery, Vol. 13, Núm. 5, pp. 2846-2859

  3. Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning

    Computer Methods and Programs in Biomedicine, Vol. 229

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 ciliary muscle using anterior segment optical coherence tomography images

    Proceedings of the International Joint Conference on Neural Networks

  3. Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesions

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

  4. Prediction of the response to photodynamic therapy in patients with chronic central serous chorioretinopathy based on optical coherence tomography using deep learning

    Photodiagnosis and Photodynamic Therapy, Vol. 40

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

    PLoS ONE, Vol. 17, Núm. 12 December

  6. 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)