Dietmar Frey

This paper develops and validates a deep learning model to generate synthetic T-max perfusion maps from non-contrast MRI data in acute stroke patients.

The paper develops a framework to test imputation methods on a clinical stroke dataset and finds that listwise deletion performs poorly, while the best method depends on the missing data mechanism.