most citedFuture-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review

2 citations · 4 across the 3 of their papers we have counts for

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cs.CV2025★ 1 cited

Medical Image De-Identification Benchmark Challenge

Linmin Pei, Granger Sutton, Michael Rutherford +67

The de-identification (deID) of protected health information (PHI) and personally identifiable information (PII) is a fundamental requirement for sharing medical images, particular…