44 citations · 78 across the 8 of their papers we have counts for
Showing 2024 · cs.CVShow all
2 papers · 2 filters
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…
cs.CV2024★ 6 cited
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…