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Found 3 papers, 2 papers with code
Counterfactual contrastive learning: robust representations via causal image synthesis
Contrastive pretraining is well-known to improve downstream task performance and model generalisation, especially in limited label settings.
Robust semi-supervised segmentation with timestep ensembling diffusion models
Medical image segmentation is a challenging task, made more difficult by many datasets' limited size and annotations.
Risk of Bias in Chest Radiography Deep Learning Foundation Models
Purpose: To analyze a recently published chest radiography foundation model for the presence of biases that could lead to subgroup performance disparities across biological sex and race.
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