most citedBenchmarking foundation models as feature extractors for weakly-supervised computational pathology

13 citations · 13 across the 3 of their papers we have counts for

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cs.CV2025

Federated Learning for Surgical Vision in Appendicitis Classification: Results of the FedSurg EndoVis 2024 Challenge

Max Kirchner, Hanna Hoffmann, Alexander C. Jenke +16

Developing generalizable surgical AI requires multi-institutional data, yet privacy constraints preclude direct data sharing, making Federated Learning (FL) a natural candidate. It…