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Protocol harmonization using a generative adversarial network decreases morphometry variability

Author:Veronica Ravano Jean-François Démonet Daniel Damian Reto Meuli Gian Franco Piredda Till Huelnhagen Bénédicte Maréchal Jean-Philippe Thiran Tobias Kober Jonas Richiardi

Session Type:Digital Poster

Session Date:Monday, 09 May 2022

Topic:Module 5: Machine Learning/Artificial Intelligence

Session Name:Deep/Machine Learning-Based Image Acquisition & Reconstruction I

Program Number:1050

Room Session:Exhibition Hall:S8 & S9

Institution:Ecole Polytechnique Fédérale de Lausanne (EPFL) Lausanne University Hospital and University of Lausanne Siemens Healthcare AG

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