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De-identification

De-identification is the task of detecting privacy-related entities in text, such as person names, emails and contact data.

Papers

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Showing 1–10 of 174 papers

TitleStatusHype
Accurate clinical and biomedical Named entity recognition at scaleCode3
CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image FormatsCode2
EchoNet-Synthetic: Privacy-preserving Video Generation for Safe Medical Data SharingCode1
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4Code1
Comparing Rule-based, Feature-based and Deep Neural Methods for De-identification of Dutch Medical RecordsCode1
Face Identity Disentanglement via Latent Space MappingCode1
DeID-VC: Speaker De-identification via Zero-shot Pseudo Voice ConversionCode1
CIAGAN: Conditional Identity Anonymization Generative Adversarial NetworksCode1
De-Identification of Medical Imaging Data: A Comprehensive Tool for Ensuring Patient PrivacyCode1
Ego4D: Around the World in 3,000 Hours of Egocentric VideoCode1
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