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• W4378840507 abstract "HomeRadiology: Artificial IntelligenceVol. 5, No. 3 PreviousNext CommentaryThe Role of Federated Learning Models in Medical ImagingLily Kwak , Harrison BaiLily Kwak , Harrison BaiAuthor AffiliationsFrom the Department of Radiology and Radiological Science, Johns Hopkins Medicine, 1800 Orleans St, Baltimore, MD 21287.Address correspondence to L.K. (email: [email protected]).Lily Kwak Harrison BaiPublished Online:May 31 2023MoreSectionsFull textPDF ToolsImage ViewerAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookTwitterLinked In References1. Gupta S, Kumar S, Chang K, Lu C, Singh P, Kalpathy-Cramer J. Collaborative privacy-preserving approaches for distributed deep learning using multi-institutional data. RadioGraphics 2023;43(4):e220107. Link, Google Scholar2. Luo G, Liu T, Lu J, et al. Influence of data distribution on federated learning performance in tumor segmentation. Radiol Artif Intell 2023;5(3): e220082. Link, Google Scholar3. Li X, Gu Y, Dvornek N, Staib LH, Ventola P, Duncan JS. Multi-site fMRI analysis using privacy-preserving federated learning and domain adaptation: ABIDE results. Med Image Anal 2020;65:101765. Crossref, Medline, Google Scholar4. Sheller MJ, Reina GA, Edwards B, Martin J, Bakas S. Multi-institutional deep learning modeling without sharing patient data: a feasibility study on brain tumor segmentation. Brainlesion 2019;11383:92–104. Medline, Google Scholar5. Li W, Milletarì F, Xu D, et al. Privacy-preserving federated brain tumour segmentation. In: Suk HI, Liu M, Yan P, Lian C, eds.Machine Learning in Medical Imaging. MLMI 2019. Lecture Notes in Computer Science, vol 11861. Springer, 2019; 133–141. Crossref, Google Scholar6. Pati S, Baid U, Edwards B, et al. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022;13(1):7346. [Published correction appears in Nat Commun 2023;14(1):436.] Crossref, Medline, Google Scholar7. Dayan I, Roth HR, Zhong A, et al. Federated learning for predicting clinical outcomes in patients with COVID-19. Nat Med 2021;27(10):1735–1743. Crossref, Medline, Google Scholar8. Dou Q, So TY, Jiang M, et al. Federated deep learning for detecting COVID-19 lung abnormalities in CT: a privacy-preserving multinational validation study. NPJ Digit Med 2021;4(1):60. [Published correction appears in NPJ Digit Med 2022;5(1):56.] Crossref, Medline, Google Scholar9. Candemir S, Nguyen XV, Folio LR, Prevedello LM. Training strategies for radiology deep learning models in data-limited scenarios. Radiol Artif Intell 2021;3(6):e210014. Link, Google ScholarArticle HistoryReceived: Apr 24 2023Revision requested: Apr 28 2023Revision received: May 4 2023Accepted: May 9 2023Published online: May 31 2023 FiguresReferencesRelatedDetailsAccompanying This ArticleInfluence of Data Distribution on Federated Learning Performance in Tumor SegmentationApr 26 2023Radiology: Artificial IntelligenceRecommended Articles Putting the Pieces Together: Deep Learning for Knee MRI Multitissue Abnormality Detection and Severity GradingRadiology: Artificial Intelligence2021Volume: 3Issue: 3Wheat from the Chaff: Denoising Functional MRI DataRadiology2021Volume: 299Issue: 1pp. 49-50Trainee Research Prizes from the 2021 RSNA Scientific Assembly and Annual MeetingRadiology2022Volume: 303Issue: 1pp. 5-8Staying Connected: The Relevance of Motor-specific Transcallosal FibersRadiology2021Volume: 302Issue: 3pp. 650-651Trainee Research Prizes from the 2022 RSNA Scientific Assembly and Annual MeetingRadiology2023Volume: 307Issue: 4See More RSNA Education Exhibits Advanced Imaging Evaluation of Pediatric Language Pathways: Where Do We StandDigital Posters2022Radiomic Of Glioma: Multiparametric MRI Correlates Of Genotyping And Molecular Markers.Digital Posters2021Toolkit for Functional MRI Assessment of Peritumoral Non-Enhancing Areas in Brain LesionsDigital Posters2019 RSNA Case Collection Large volume barium aspirationRSNA Case Collection2021Central Pontine MyelinolisisRSNA Case Collection2021Diffuse Midline GliomaRSNA Case Collection2021 Vol. 5, No. 3 Metrics Altmetric Score PDF download" @default.
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• W4378840507 title "The Role of Federated Learning Models in Medical Imaging" @default.
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