Computational Imaging and AI in Medicine
Computational Imaging and AI in Medicine
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Daniel Rueckert
Latest
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
What do we learn? Debunking the Myth of Unsupervised Outlier Detection
Model-Based and Data-Driven Strategies in Medical Image Computing
Automatic CNN-based detection of cardiac MR motion artefacts using k-space data augmentation and curriculum learning
Automatic construction of 3-D statistical deformation models of the brain using nonrigid registration
A generic framework for non-rigid registration based on non-uniform multi-level free-form deformations
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