11 citations · 32 across the 6 of their papers we have counts for
3 papers · 1 filter
PatchMorph: A Stochastic Deep Learning Approach for Unsupervised 3D Brain Image Registration with Small Patches
Henrik Skibbe, Michal Byra, Akiya Watakabe +2
We introduce "PatchMorph," an new stochastic deep learning algorithm tailored for unsupervised 3D brain image registration. Unlike other methods, our method uses compact patches of…
Deep Neural Patchworks: Coping with Large Segmentation Tasks
Marco Reisert, Maximilian Russe, Samer Elsheikh +2
Convolutional neural networks are the way to solve arbitrary image segmentation tasks. However, when images are large, memory demands often exceed the available resources, in parti…
HAMLET: Hierarchical Harmonic Filters for Learning Tracts from Diffusion MRI
Marco Reisert, Volker A. Coenen, Christoph Kaller +2
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…