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High reproducibility and robustness to lesions, but large software and scanner effects for mean upper cervical cord area (MUCCA) measurement in MS

Author:Merlin Weeda  Sander Middelkoop  Martijn Steenwijk  Marita Daams  Houshang Amiri  Iman Brouwer  Joep Killestein  Bernard Uitdehaag  Iris Dekker  Carsten Lukas  Barbara Bellenberg  Frederik Barkhof  Petra Pouwels  Hugo Vrenken  

Institution:MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc  St. Josef Hospital, Ruhr University  Institutes of Neurology and Healthcare Engineering UCL  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Software & Tools  

Program Number:4825  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 107  

The deep learning lesion segmentation method nicMSlesions only needs one manually delineated subject to outperform commonly used unsupervised methods

Author:Merlin Weeda  Iman Brouwer  Marlieke de Vos  Myrte de Vries  Frederik Barkhof  Petra Pouwels  Hugo Vrenken  

Institution:MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - location VUmc  Institutes of Neurology and Healthcare Engineering UCL  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:13:45  

Session Name:Segmentation 1  

Program Number:4728  

Presentation Time:13:45   

Room Number:Exhibition Hall  

Computer Number:Computer 10