Publicaciones en las que colabora con Álvaro Suárez Hervella (22)

2025

  1. Computer-assisted evaluation of retinal vessel tortuosity in children with sickle cell disease without retinopathy

    Microvascular Research, Vol. 157

2024

  1. Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity

    Medical and Biological Engineering and Computing, Vol. 62, Núm. 3, pp. 865-881

  2. Multi-Adaptive Optimization for multi-task learning with deep neural networks

    Neural Networks, Vol. 170, pp. 254-265

2023

  1. Context encoder transfer learning approaches for retinal image analysis

    Computers in Biology and Medicine, Vol. 152

  2. 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. End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images

    Applied Soft Computing, Vol. 116

  2. 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)

  3. Multimodal image encoding pre-training for diabetic retinopathy grading

    Computers in Biology and Medicine, Vol. 143

  4. Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images

    Information Fusion, Vol. 79, pp. 146-161

2021

  1. Context encoder self-supervised approaches for eye fundus analysis

    Proceedings of the International Joint Conference on Neural Networks

  2. Multimodal reconstruction of retinal images over unpaired datasets using cyclical generative adversarial networks

    Generative Adversarial Networks for Image-to-Image Translation (Elsevier), pp. 347-376

  3. Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis

    Expert Systems with Applications, Vol. 185

2020

  1. Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images

    Computer Methods and Programs in Biomedicine, Vol. 186

  2. Impact of the Circular Region of Interest on the Performance of Multimodal Reconstruction of Retinal Images

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

  3. Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction

    Applied Soft Computing Journal, Vol. 91

  4. Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

  5. Self-supervised multimodal reconstruction of retinal images over paired datasets

    Expert Systems with Applications, Vol. 161

2019

  1. Deep Multimodal Reconstruction of Retinal Images Using Paired or Unpaired Data

    Proceedings of the International Joint Conference on Neural Networks

  2. Paired and Unpaired Deep Generative Models on Multimodal Retinal Image Reconstruction

    XoveTIC 2019: The 2nd XoveTIC Conference (XoveTIC 2019), A Coruña, Spain, 5–6 September

  3. Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data

    Proceedings of the International Joint Conference on Neural Networks