Review paper accepted at IEEE Transactions on Medical Imaging

Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review by Veronika Spieker and Hannah Eichhorn et al. has been accepted for publication at IEEE Transactions on Medical Imaging.

Motion remains a major challenge in MRI and various deep learning solutions have been proposed – but what are common challenges and potentials? Check out this review, which identifies differences and synergies of recent methods and bridges the gap between AI and MR physics.

Veronika Spieker
Veronika Spieker
PhD Student

Veronika Spieker’s interests include AI-based methods for MR reconstrution and motion correction.

Hannah Eichhorn
Hannah Eichhorn
PhD student

Hannah Eichhorn’s research focuses on deep learning-based reconstruction of multi-parametric brain MRI.