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PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches
We introduce "PatchMorph," an new stochastic deep learning algorithm tailored for unsupervised 3D brain image registration.
Deep Neural Patchworks: Coping with Large Segmentation Tasks
Convolutional neural networks are the way to solve arbitrary image segmentation tasks.
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI
In this work we propose HAMLET, a novel tract learning algorithm, which, after training, maps raw diffusion weighted MRI directly onto an image which simultaneously indicates tract direction and tract presence.
Gibbs-Ringing Artifact Removal Based on Local Subvoxel-shifts
The truncation in k-space can be interpreted as a convolution with a sinc-function in image space.
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