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Brain MRI linkage poses privacy risk, study finds

Researchers have demonstrated that brain MRI scans can be linked across different datasets using image similarity measures, even after identifiers are removed. This method achieves high accuracy in matching scans from the same individual, regardless of variations in acquisition or scanner type. The findings highlight a significant privacy risk in shared neuroimaging data and suggest a need for updated data-sharing policies. AI

IMPACT Highlights potential privacy risks in medical data sharing, necessitating new data governance policies for neuroimaging research.

RANK_REASON The cluster contains an academic paper detailing a new method for linking brain MRI scans. [lever_c_demoted from research: ic=1 ai=0.4]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Brain MRI linkage poses privacy risk, study finds

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The cluster contains an academic paper detailing a new method for linking brain MRI scans. [lever_c_demoted from research: ic=1 ai=0.4]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Gaurang Sharma, Harri Polonen, Juha Pajula, Jutta Suksi, Jussi Tohka ·

    Cross-Dataset Linkage of Brain MRI using Image Similarity Measures

    arXiv:2602.10043v2 Announce Type: replace Abstract: Head magnetic resonance imaging (MRI) data are routinely collected and shared for research under strict regulatory frameworks that require the removal of direct identifiers prior to data release. However, even after skull stripp…