Publicacións nas que colabora con Álvaro Suárez Hervella (29)

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. Joint keypoint detection and description network for color fundus image registration

    Quantitative Imaging in Medicine and Surgery, Vol. 13, Núm. 7, pp. 4540-4562

  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. Color fundus image registration using a learning-based domain-specific landmark detection methodology

    Computers in Biology and Medicine, Vol. 140

  2. 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

  3. Impact of Increased Centerline Weight on the Joint Segmentation and Classification of Arteries and Veins in Color Fundus Images

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

  4. 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)

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

    Computers in Biology and Medicine, Vol. 143

  6. 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. Deep Multi-Segmentation Approach for the Joint Classification and Segmentation of the Retinal Arterial and Venous Trees in Color Fundus Images †

    Engineering Proceedings, Vol. 7, Núm. 1

  3. 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

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

    Expert Systems with Applications, Vol. 185

  5. Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images

    Artificial Intelligence in Medicine, Vol. 118

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