Publicacións nas que colabora con Marcos Ortega Hortas (56)

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. Computer-assisted evaluation of retinal vessel tortuosity in moderate-to-late preterm children

    European Journal of Ophthalmology, Vol. 33, Núm. 5, pp. 1874-1882

  2. Context encoder transfer learning approaches for retinal image analysis

    Computers in Biology and Medicine, Vol. 152

  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. 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. Feature definition and comprehensive analysis on the robust identification of intraretinal cystoid regions using optical coherence tomography images

    Pattern Analysis and Applications, Vol. 25, Núm. 1

  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. Multimodal image encoding pre-training for diabetic retinopathy grading

    Computers in Biology and Medicine, Vol. 143

  5. 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. An end-to-end deep learning approach for simultaneous background modeling and subtraction

    30th British Machine Vision Conference 2019, BMVC 2019

  2. Automatic ECG Screening as a Supporting Tool on a Telemedicine Framework

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

  3. 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

  4. 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)

  5. Intraretinal fluid pattern characterization in optical coherence tomography images

    Sensors (Switzerland), Vol. 20, Núm. 7

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

    Applied Soft Computing Journal, Vol. 91

  7. 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