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Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge.
Schmidt K, Bearce B, Chang K, Coombs L, Farahani K, Elbatel M, Mouheb K, Marti R, Zhang R, Zhang Y, Wang Y, Hu Y, Ying H, Xu Y, Testagrose C, Demirer M, Gupta V, Akünal Ü, Bujotzek M, Maier-Hein KH, Qin Y, Li X, Kalpathy-Cramer J, Roth HR. Schmidt K, et al. Among authors: chang k. Med Image Anal. 2024 Jul;95:103206. doi: 10.1016/j.media.2024.103206. Epub 2024 May 15. Med Image Anal. 2024. PMID: 38776844
Multi-Institutional Assessment and Crowdsourcing Evaluation of Deep Learning for Automated Classification of Breast Density.
Chang K, Beers AL, Brink L, Patel JB, Singh P, Arun NT, Hoebel KV, Gaw N, Shah M, Pisano ED, Tilkin M, Coombs LP, Dreyer KJ, Allen B, Agarwal S, Kalpathy-Cramer J. Chang K, et al. J Am Coll Radiol. 2020 Dec;17(12):1653-1662. doi: 10.1016/j.jacr.2020.05.015. Epub 2020 Jun 24. J Am Coll Radiol. 2020. PMID: 32592660 Free PMC article.
ACR's Connect and AI-LAB technical framework.
Brink L, Coombs LP, Kattil Veettil D, Kuchipudi K, Marella S, Schmidt K, Nair SS, Tilkin M, Treml C, Chang K, Kalpathy-Cramer J. Brink L, et al. Among authors: chang k. JAMIA Open. 2022 Nov 11;5(4):ooac094. doi: 10.1093/jamiaopen/ooac094. eCollection 2022 Dec. JAMIA Open. 2022. PMID: 36380846 Free PMC article.
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