no code implementations • 24 Oct 2023 • Lennart Alexander Van der Goten, Kevin Smith
Data anonymization and de-identification is concerned with ensuring the privacy and confidentiality of individuals' personal information.
no code implementations • 14 Oct 2022 • Lennart Alexander Van der Goten, Kevin Smith
Our method is realized through the design of a novel volumetric transformer-based neural network that generalizes a \emph{window-centered} approach popularized by the Swin transformer.
no code implementations • 18 Oct 2021 • Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith
Solutions have been developed to de-identify diagnostic scans by obfuscating or removing parts of the face.
no code implementations • 1 Jan 2021 • Lennart Alexander Van der Goten, Tobias Hepp, Zeynep Akata, Kevin Smith
De-identification of magnetic resonance imagery (MRI) is intrinsically difficult since, even with all metadata removed, a person's face can easily be rendered and matched against a database.