A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models

Deo, Y., Jia, Y., Lassila, T. orcid.org/0000-0001-8947-1447 et al. (5 more authors) (Accepted: 2026) A Calibrated Memorization Index (MI) for Detecting Training Data Leakage in Generative MRI Models. In: Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI). IEEE International Symposium on Biomedical Imaging 2026, 08-11 Apr 2026, London, UK. (In Press)

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Item Type: Proceedings Paper
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This is an author produced version of a conference paper accepted for publication in Proceedings of IEEE International Symposium on Biomedical Imaging (ISBI),  made available via the University of Leeds Research Outputs Policy under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Accepted: 13 January 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Date Deposited: 20 Jan 2026 15:48
Last Modified: 20 Jan 2026 15:48
Status: In Press
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