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Pith Integrity · Reference Change Desk · events-only

Reference changes

See every place this corpus cites a work that was later retracted, corrected, withdrawn, or placed under expression of concern: exact quote, event source, and what happened next. No model judges the citation.

A notice on this page means a citing paper's bibliography includes a work with a published scholarly-record event. It is not a judgment on the citing paper.

Scoped to citing paper 2507.22790 · clear

01Events with corpus notices

02One-hop citation notices (secondary index)

Correction Crossref Open
Optimizing Federated Learning Configurations for MRI Prostate Segmentation and Cancer Detection: A Simulation Study

cites Federated learning enables big data for rare cancer boundary detection · ref [7] · event 2023-01-26 · 2507.22790 · event page · DOI 10.1038/s41467-022-33407-5

Raw extraction · citation context

Yi L, Zhang J, Zhang R, Shi J, Wang G, Liu X: SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation. In: Lecture Notes in Computer Science. edn.: Springer International Publishing; 2020: 761-773. 5. Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C et al. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022, 13(1):7346. doi: 10.1038/s41467-022-33407-5 …

Parser render (TeX stripped for reading; raw above is the evidence)

Yi L, Zhang J, Zhang R, Shi J, Wang G, Liu X: SU-Net: An Efficient Encoder-Decoder Model of Federated Learning for Brain Tumor Segmentation. In: Lecture Notes in Computer Science. edn.: Springer International Publishing; 2020: 761-773. 5. Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C et al. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022, 13(1):7346. doi: 10.1038/s41467-022-33407-5 …