2 papers
cs.CV2026
Self-supervised Pre-training Helps Retinal Disease Progression Modelling Most When Data Is Scarce
Ifeoma Veronica Nwabufo, Julius Gervelmeyer, Sarah Müller +1
Modelling how a disease progresses over time requires longitudinal imaging cohorts, which are scarce and small, whereas cross-sectional data -- one image per participant -- is abun…
cs.CV2024
Self-supervised Visualisation of Medical Image Datasets
Ifeoma Veronica Nwabufo, Jan Niklas Böhm, Philipp Berens +1
Self-supervised learning methods based on data augmentations, such as SimCLR, BYOL, or DINO, allow obtaining semantically meaningful representations of image datasets and are widel…