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Improvingautomated aneurysm detection on multi-site MRA data: lessons learnt from a public machine learning challenge

Author:Tommaso Di Noto  Guillaume Marie  Sebastien Tourbier  Yasser Alemán-Gómez  Oscar Esteban  Guillaume Saliou  Meritxell Bach Cuadra  Patric Hagmann  Jonas Richiardi  

Session Type:Digital Poster  

Session Date:Wednesday, 19 May 2021  

Topic:Machine Learning Applications in CV Imaging  

Session Name:Machine Learning Applications in CV Imaging II  

Program Number:2655  

Room Session:Concurrent 2  

Institution:Lausanne University Hospital and University of Lausanne  Center for Psychiatric Neuroscience, Lausanne University Hospital and University of Lausanne  Medical Image Analysis Laboratory (MIAL), Centre d’Imagerie BioMédicale (CIBM)