When multi-institutional dataset aggregation masks shortcut-like behavior in Foundation Models for medical imaging.
Foundation Models are increasingly used in medical imaging, yet their behavior under severe domain heterogeneity remains poorly understood. We study pretrained image encoders as feature extractors for mammography classification across ten datasets spanning diverse acquisition pipelines, populations, and geographic regi...