AI RESEARCH
EvalBlocks: A Modular Pipeline for Rapidly Evaluating Foundation Models in Medical Imaging
arXiv CS.LG
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ArXi:2601.03811v2 Announce Type: replace-cross Developing foundation models in medical imaging requires continuous monitoring of downstream performance. Researchers are burdened with tracking numerous experiments, design choices, and their effects on performance, often relying on ad-hoc, manual workflows that are inherently slow and error-prone. We