no code implementations • 12 Dec 2023 • Henrik Skibbe, Michal Byra, Akiya Watakabe, Tetsuo Yamamori, Marco Reisert
We introduce "PatchMorph," an new stochastic deep learning algorithm tailored for unsupervised 3D brain image registration.
no code implementations • 7 Jun 2022 • Marco Reisert, Maximilian Russe, Samer Elsheikh, Elias Kellner, Henrik Skibbe
Convolutional neural networks are the way to solve arbitrary image segmentation tasks.
no code implementations • 3 Jul 2018 • Marco Reisert, Volker A. Coenen, Christoph Kaller, Karl Egger, Henrik Skibbe
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.
no code implementations • 30 Jan 2015 • Elias Kellner, Bibek Dhital, Marco Reisert
The truncation in k-space can be interpreted as a convolution with a sinc-function in image space.