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Preserving Privacy While Maintaining Consistent Postprocessing Results: Fast and Effective Anonymous Refacing using a 3D cGAN

Author:Nataliia Molchanova Bénédicte Maréchal Jean-Philippe Thiran Tobias Kober Jonas Richiardi Till Huelnhagen

Session Type:Online Gather.town Pitches

Session Date:Monday, 09 May 2022

Topic:Module 5: Machine Learning/Artificial Intelligence

Session Name:Machine Learning & Artificial Intelligence I

Program Number:3523

Room Session:4

Institution:Advanced Clinical Imaging Technology, Siemens Healthcare AG Lausanne University Hospital and University of Lausanne Signal Processing Laboratory (LTS 5), Ecole Polytechnique Fédérale de Lausanne (EPFL)

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