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How easily can an existing stroke outcome deep learning model become attuned to new acquisition protocols and patient cohorts?

Author:Anne Nielsen  Mikkel Hansen  Soren Christensen  Maarten Lansberg  Greg Zaharchuk  Kim Mouridsen  

Author Institution:Aarhus University  Stanford University  

Session Type:Electronic Poster  

Session Date:Monday, 18 June 2018  

Session Time:14:45  

Session:Machine Learning for Image Analysis  

Program Number:3500  

Presentation Time:

Room Number:Exhibition Hall  

Computer Number:Computer 68  

Intravoxel Incoherent Motion (IVIM) Perfusion Imaging in Hyperacute Stroke: Initial Results

Intravoxel Incoherent Motion (IVIM) Perfusion Imaging in Hyperacute Stroke: Initial Results

Quantitative Cerebral Blood Flow Measured with Arterial Spin Labeling MRI in the Unaffected Contralateral Brain Hemisphere Predicts Outcome in Acute Ischemic Stroke