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For: Kaissis GA, Makowski MR, Rückert D, Braren RF. Secure, privacy-preserving and federated machine learning in medical imaging. Nat Mach Intell 2020;2:305-11. [DOI: 10.1038/s42256-020-0186-1] [Cited by in Crossref: 51] [Cited by in F6Publishing: 11] [Article Influence: 51.0] [Reference Citation Analysis]
Number Citing Articles
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2 Warnat-Herresthal S, Schultze H, Shastry KL, Manamohan S, Mukherjee S, Garg V, Sarveswara R, Händler K, Pickkers P, Aziz NA, Ktena S, Tran F, Bitzer M, Ossowski S, Casadei N, Herr C, Petersheim D, Behrends U, Kern F, Fehlmann T, Schommers P, Lehmann C, Augustin M, Rybniker J, Altmüller J, Mishra N, Bernardes JP, Krämer B, Bonaguro L, Schulte-Schrepping J, De Domenico E, Siever C, Kraut M, Desai M, Monnet B, Saridaki M, Siegel CM, Drews A, Nuesch-Germano M, Theis H, Heyckendorf J, Schreiber S, Kim-Hellmuth S, Nattermann J, Skowasch D, Kurth I, Keller A, Bals R, Nürnberg P, Rieß O, Rosenstiel P, Netea MG, Theis F, Mukherjee S, Backes M, Aschenbrenner AC, Ulas T, Breteler MMB, Giamarellos-Bourboulis EJ, Kox M, Becker M, Cheran S, Woodacre MS, Goh EL, Schultze JL; COVID-19 Aachen Study (COVAS)., Deutsche COVID-19 Omics Initiative (DeCOI). Swarm Learning for decentralized and confidential clinical machine learning. Nature 2021;594:265-70. [PMID: 34040261 DOI: 10.1038/s41586-021-03583-3] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 4.0] [Reference Citation Analysis]
3 Diaz O, Kushibar K, Osuala R, Linardos A, Garrucho L, Igual L, Radeva P, Prior F, Gkontra P, Lekadir K. Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools. Physica Medica 2021;83:25-37. [DOI: 10.1016/j.ejmp.2021.02.007] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
4 Liefaard MC, Lips EH, Wesseling J, Hylton NM, Lou B, Mansi T, Pusztai L. The Way of the Future: Personalizing Treatment Plans Through Technology. Am Soc Clin Oncol Educ Book 2021;41:1-12. [PMID: 33793316 DOI: 10.1200/EDBK_320593] [Reference Citation Analysis]
5 Suman G, Patra A, Korfiatis P, Majumder S, Chari ST, Truty MJ, Fletcher JG, Goenka AH. Quality gaps in public pancreas imaging datasets: Implications & challenges for AI applications. Pancreatology 2021;21:1001-8. [PMID: 33840636 DOI: 10.1016/j.pan.2021.03.016] [Reference Citation Analysis]
6 Yee NS. Machine intelligence for precision oncology. World J Transl Med 2021; 9(1): 1-10 [DOI: 10.5528/wjtm.v9.i1.1] [Reference Citation Analysis]
7 Loncaric F, Camara O, Piella G, Bijnens B. Integration of artificial intelligence into clinical patient management: focus on cardiac imaging. Rev Esp Cardiol (Engl Ed) 2021;74:72-80. [PMID: 32819849 DOI: 10.1016/j.rec.2020.07.003] [Reference Citation Analysis]
8 Zhang Z, Zhang L, Li Q, Wang K, He N, Gao T. Privacy-enhanced momentum federated learning via differential privacy and chaotic system in industrial Cyber-Physical systems. ISA Trans 2021:S0019-0578(21)00491-2. [PMID: 34556349 DOI: 10.1016/j.isatra.2021.09.007] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
9 Valous NA, Moraleda RR, Jäger D, Zörnig I, Halama N. Interrogating the microenvironmental landscape of tumors with computational image analysis approaches. Semin Immunol 2020;48:101411. [PMID: 33168423 DOI: 10.1016/j.smim.2020.101411] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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11 Loncaric F, Camara O, Piella G, Bijnens B. La integración de la inteligencia artificial en el abordaje clínico del paciente: enfoque en la imagen cardiaca. Revista Española de Cardiología 2021;74:72-80. [DOI: 10.1016/j.recesp.2020.07.012] [Cited by in Crossref: 6] [Cited by in F6Publishing: 2] [Article Influence: 6.0] [Reference Citation Analysis]