3 papers
cs.CV2025
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…
cs.CV2025
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…
cs.CV2024
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…