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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.CV2025
Learning Disease State from Noisy Ordinal Disease Progression Labels
Gustav Schmidt, Holger Heidrich, Philipp Berens +1
Learning from noisy ordinal labels is a key challenge in medical imaging. In this work, we ask whether ordinal disease progression labels (better, worse, or stable) can be used to…