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most citedDeep Learning-based Patient Re-identification Is able to Exploit the Biometric Nature of Medical Chest X-ray Data

90 citations · 111 across the 3 of their papers we have counts for

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Showing 2022 · eess.IVShow all

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eess.IV2022★ 3 cited

Deep Learning-based Anonymization of Chest Radiographs: A Utility-preserving Measure for Patient Privacy

Kai Packhäuser, Sebastian Gündel, Florian Thamm +2

Robust and reliable anonymization of chest radiographs constitutes an essential step before publishing large datasets of such for research purposes. The conventional anonymization…