Changing the face of neuroimaging research: Comparing a new MRI de-facing technique with popular alternatives

Changing the face of neuroimaging research: Comparing a new MRI de-facing technique with popular alternatives

Recent advances in automated face recognition algorithms have increased the risk that de-identified research MRI scans may be re-identifiable by matching them to identified photographs using face recognition. A variety of software exist to de-face (remove faces from) MRI, but their ability to preven...

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Bibliographic Details
Main Authors: Christopher G. Schwarz, Walter K. Kremers, Heather J. Wiste, Jeffrey L. Gunter, Prashanthi Vemuri, Anthony J. Spychalla, Kejal Kantarci, Aaron P. Schultz, Reisa A. Sperling, David S. Knopman, Ronald C. Petersen, Clifford R. Jack, Jr.
Format: Article
Language:English
Published: Elsevier 2021-05-01
Series:NeuroImage
Subjects:
Face Recognition
De-Facing
De-Identification
Anonymization
Reliability
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811921001221

Internet

http://www.sciencedirect.com/science/article/pii/S1053811921001221

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