AI RESEARCH
Curia-2: Scaling Self-Supervised Learning for Radiology Foundation Models
arXiv CS.LG
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ArXi:2604.01987v1 Announce Type: cross The rapid growth of medical imaging has fueled the development of Foundation Models (FMs) to reduce the growing, unsustainable workload on radiologists. While recent FMs have shown the power of large-scale pre-