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  • Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen Nuremberg

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Predicting artifacts in maximum intensity projections of high b-value DWI of the breast using neural networks.

Author:Andrzej Liebert  Lorenz Kapsner  Lukas Folle  Hannes Schreiter  Badhan Das  Sabine Ohlmeyer  Andreas Maier  Evelyn Wenkel  Frederik Laun  Michael Uder  Sebastian Bickelhaupt  

Session Type:Digital Poster  

Session Date:Tuesday, 10 May 2022  

Topic:Module 5: Machine Learning/Artificial Intelligence  

Session Name:Quality Assessment & Data Harmonization I  

Program Number:1788  

Room Session:Exhibition Hall:S8 & S9  

Institution:Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)  Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander University Erlangen Nuremberg  

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