Multimodal registration of retinal images using domain-specific landmarks and vessel enhancement. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (KES, 2018)

Retinal Image Understanding Emerges from Self-Supervised Multimodal Reconstruction. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (MICCAI (1), 2018)

Impact of the Circular Region of Interest on the Performance of Multimodal Reconstruction of Retinal Images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (EUROCAST (2), 2019)

Self-Supervised Deep Learning for Retinal Vessel Segmentation Using Automatically Generated Labels from Multimodal Data. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (IJCNN, 2019)

Deep Multimodal Reconstruction of Retinal Images Using Paired or Unpaired Data. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (IJCNN, 2019)

Multimodal Transfer Learning-Based Approaches for Retinal Vascular Segmentation. - José Morano; Álvaro S. Hervella; Noelia Barreira; Jorge Novo; José Rouco (ECAI, 2020)

Multi-Modal Self-Supervised Pre-Training for Joint Optic Disc and Cup Segmentation in Eye Fundus Images. - Álvaro S. Hervella; Lucía Ramos; José Rouco; Jorge Novo; Marcos Ortega 001 (ICASSP, 2020)

Learning the retinal anatomy from scarce annotated data using self-supervised multimodal reconstruction. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Appl. Soft Comput., 2020)

Deep multi-instance heatmap regression for the detection of retinal vessel crossings and bifurcations in eye fundus images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Manuel G. Penedo; Marcos Ortega 001 (Comput. Methods Programs Biomed., 2020)

Self-supervised multimodal reconstruction of retinal images over paired datasets. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Expert Syst. Appl., 2020)

Context encoder self-supervised approaches for eye fundus analysis. - Daniel I. Morís; Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (IJCNN, 2021)

Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images. - José Morano; Álvaro S. Hervella; Jorge Novo; José Rouco (Artif. Intell. Medicine, 2021)

Self-supervised multimodal reconstruction pre-training for retinal computer-aided diagnosis. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Expert Syst. Appl., 2021)

Impact of Increased Centerline Weight on the Joint Segmentation and Classification of Arteries and Veins in Color Fundus Images. - José Morano; David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (EUROCAST, 2022)

Improving AMD Diagnosis by the Simultaneous Identification of Associated Retinal Lesions. - José Morano; Álvaro S. Hervella; José Rouco; Jorge Novo; José Ignacio Fernández-Vigo; Marcos Ortega 001 (ICIAP (1), 2022)

Web-based platform for the automatic analysis and visualization of vascular diagnostic markers in ophthalmological images. - José Morano; Álvaro S. Hervella; Jorge Novo; José Rouco (XoveTIC, 2022)

Deep learning-based detection of domain-specific retinal landmarks for color fundus image registration. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (XoveTIC, 2022)

End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Appl. Soft Comput., 2022)

Multimodal image encoding pre-training for diabetic retinopathy grading. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Comput. Biol. Medicine, 2022)

Color fundus image registration using a learning-based domain-specific landmark detection methodology. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (Comput. Biol. Medicine, 2022)

Retinal microaneurysms detection using adversarial pre-training with unlabeled multimodal images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Inf. Fusion, 2022)

Context encoder transfer learning approaches for retinal image analysis. - Daniel I. Morís; Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Comput. Biol. Medicine, 2023)

Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning. - José Morano; Álvaro S. Hervella; José Rouco; Jorge Novo; José Ignacio Fernández-Vigo; Marcos Ortega 001 (Comput. Methods Programs Biomed., 2023)

Recurrent Task Specialization Network for Segmentation-aided Vascular Landmarks Detection in Retinal Images. - Álvaro S. Hervella; José Rouco; Jorge Novo; Clara I. Sánchez; Marcos Ortega 001 (ECAI, 2024)

ConKeD++ - Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (CoRR, 2024)

Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity. - Álvaro S. Hervella; Lucía Ramos; José Rouco; Jorge Novo; Marcos Ortega 001 (Medical Biol. Eng. Comput., 2024)

Multi-Adaptive Optimization for multi-task learning with deep neural networks. - Álvaro S. Hervella; José Rouco; Jorge Novo; Marcos Ortega 001 (Neural Networks, 2024)

ConKeD: multiview contrastive descriptor learning for keypoint-based retinal image registration. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (Medical Biol. Eng. Comput., 2024)

Deep Learning-Based Models for Sickle Cell Anemia Characterization in Retinal Fundus Images. - L. Carrasco; L. Ramos; Noelia Barreira; Álvaro S. Hervella; Lina H. Raffa (CBMS, 2025)

Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (CoRR, 2025)

Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration. - David Rivas-Villar; Álvaro S. Hervella; José Rouco; Jorge Novo (CoRR, 2025)