M, Z., U, B., S, P., A, L., B, E., M, S., . . . S, B. (2025). Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge. Nature communications, 16(1), 6274. https://doi.org/10.1038/s41467-025-60466-1
Chicago Style (17th ed.) CitationM, Zenk, et al. "Towards Fair Decentralized Benchmarking of Healthcare AI Algorithms with the Federated Tumor Segmentation (FeTS) Challenge." Nature Communications 16, no. 1 (2025): 6274. https://doi.org/10.1038/s41467-025-60466-1.
MLA (9th ed.) CitationM, Zenk, et al. "Towards Fair Decentralized Benchmarking of Healthcare AI Algorithms with the Federated Tumor Segmentation (FeTS) Challenge." Nature Communications, vol. 16, no. 1, 2025, p. 6274, https://doi.org/10.1038/s41467-025-60466-1.