44 citations · 78 across the 8 of their papers we have counts for
9 papers
Unsupervised training of keypoint-agnostic descriptors for flexible retinal image registration
David Rivas-Villar, Álvaro S. Hervella, José Rouco +1
Current color fundus image registration approaches are limited, among other things, by the lack of labeled data, which is even more significant in the medical domain, motivating th…
Unsupervised Deep Learning-based Keypoint Localization Estimating Descriptor Matching Performance
David Rivas-Villar, Álvaro S. Hervella, José Rouco +1
Retinal image registration, particularly for color fundus images, is a challenging yet essential task with diverse clinical applications. Existing registration methods for color fu…
ConKeD++ -- Improving descriptor learning for retinal image registration: A comprehensive study of contrastive losses
David Rivas-Villar, Álvaro S. Hervella, José Rouco +1
Self-supervised contrastive learning has emerged as one of the most successful deep learning paradigms. In this regard, it has seen extensive use in image registration and, more re…
ConKeD: Multiview contrastive descriptor learning for keypoint-based retinal image registration
David Rivas-Villar, Álvaro S. Hervella, José Rouco +1
Retinal image registration is of utmost importance due to its wide applications in medical practice. In this context, we propose ConKeD, a novel deep learning approach to learn des…
Weakly-supervised detection of AMD-related lesions in color fundus images using explainable deep learning
José Morano, Álvaro S. Hervella, José Rouco +3
Age-related macular degeneration (AMD) is a degenerative disorder affecting the macula, a key area of the retina for visual acuity. Nowadays, it is the most frequent cause of blind…
Simultaneous segmentation and classification of the retinal arteries and veins from color fundus images
José Morano, Álvaro S. Hervella, Jorge Novo +1
The study of the retinal vasculature is a fundamental stage in the screening and diagnosis of many diseases. A complete retinal vascular analysis requires to segment and classify t…
Improving AMD diagnosis by the simultaneous identification of associated retinal lesions
José Morano, Álvaro S. Hervella, José Rouco +3
Age-related Macular Degeneration (AMD) is the predominant cause of blindness in developed countries, specially in elderly people. Moreover, its prevalence is increasing due to the…
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation
José Morano, Álvaro S. Hervella, Noelia Barreira +2
In ophthalmology, the study of the retinal microcirculation is a key issue in the analysis of many ocular and systemic diseases, like hypertension or diabetes. This motivates the r…
Multimodal Registration of Retinal Images Using Domain-Specific Landmarks and Vessel Enhancement
Álvaro S. Hervella, José Rouco, Jorge Novo +1
The analysis of different image modalities is frequently performed in ophthalmology as it provides complementary information for the diagnosis and follow-up of relevant diseases, l…