Retrospective Motion Correction of MR Images using Prior-Assisted Deep Learning
Soumick Chatterjee(Human Technopole), Oliver Speck(Otto-von-Guericke University Magdeburg), Steffen Oeltze‐Jafra(German Center for Neurodegenerative Diseases), Max Dünnwald(University Hospital Magdeburg), Andreas Nürnberger(Otto-von-Guericke-Universität Magdeburg), Alessandro Sciarra(University Hospital Magdeburg)
Cited by 7
Related Papers
Neuroimaging standards for research into small vessel disease and its contribution to ageing and neurodegeneration
|The Lancet Neurology|2013|5.4k
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
|Medical Image Analysis|2020|785
Classification of brain tumours in MR images using deep spatiospatial models
|Scientific Reports|2022|113
ReconResNet: Regularised residual learning for MR image reconstruction of Undersampled Cartesian and Radial data
|Computers in Biology and Medicine|2022|31
Exploration of Interpretability Techniques for Deep COVID-19 Classification Using Chest X-ray Images
|Journal of Imaging|2024|28