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Secure multi-party computation for magnetic resonance imaging classification
Title Secure multi-party computation for magnetic resonance imaging classification Author Lytvyn Oleksandr Co-authors Nguyen Giang 1972- SAVINFO - Ústav informatiky SAV SCOPUS RID ORCID Source document Procedia Computer Science. Vol. 220 (2023), p. 24-31 Language eng - English Document kind rozpis článkov z periodík (rbx) Citations GONG, Yicheng - WU, Wenlong - SONG, Linlin. GAN-Based Privacy-Preserving Intelligent Medical Consultation Decision-Making. In GROUP DECISION AND NEGOTIATION, 2024, vol., no., pp. ISSN 0926-2644. Dostupné na: https://doi.org/10.1007/s10726-024-09902-z. HAFSA, Laci - KOZETA, Sevrani. Preserving privacy in medical images while still enabling AI-driven research: A comprehensive review. In 2024 13TH MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, MECO 2024, 2024, vol., no., pp. 407-411. ISSN 2377-5475. Dostupné na: https://doi.org/10.1109/MECO62516.2024.10577795. HOSSAM, A.T.A. Enhancing privacy in big data analytics through encrypted computational techniques and secure multi-party computation strategies. In Journal of Industrial IoT Technologies. 2024, vol. 14, no. 2, pp. 1-8. https://scicadence.com/index.php/Industrial-IoT/article/view/37. Category ADMB - Scientific papers in foreign non-impacted journals registered in Web of Sciences or Scopus Category of document (from 2022) V3 - Vedecký výstup publikačnej činnosti z časopisu Type of document článok Year 2023 Registered in SCOPUS DOI 10.1016/j.procs.2023.03.006 article
File name Access Size Downloaded Type License Secure multi-party computation for magnetic resonance imaging classification.pdf available 934.7 KB 0 Publisher's version rok CC IF IF Q (best) JCR Av Jour IF Perc SJR SJR Q (best) CiteScore N rok vydania rok metriky IF IF Q (best) SJR SJR Q (best) 2023 2022 0.507
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