309 citations · 330 across the 3 of their papers we have counts for
6 papers · 1 filter
Recurrent Registration Neural Networks for Deformable Image Registration
Robin Sandkühler, Simon Andermatt, Grzegorz Bauman +3
Parametric spatial transformation models have been successfully applied to image registration tasks. In such models, the transformation of interest is parameterized by a fixed set…
Standardized Assessment of Automatic Segmentation of White Matter Hyperintensities and Results of the WMH Segmentation Challenge
Hugo J. Kuijf, J. Matthijs Biesbroek, Jeroen de Bresser +41
Quantification of cerebral white matter hyperintensities (WMH) of presumed vascular origin is of key importance in many neurological research studies. Currently, measurements are o…
Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU
Antal Horvath, Charidimos Tsagkas, Simon Andermatt +3
The small butterfly shaped structure of spinal cord (SC) gray matter (GM) is challenging to image and to delinate from its surrounding white matter (WM). Segmenting GM is up to a p…
AirLab: Autograd Image Registration Laboratory
Robin Sandkühler, Christoph Jud, Simon Andermatt +1
Medical image registration is an active research topic and forms a basis for many medical image analysis tasks. Although image registration is a rather general concept specialized…
Pathology Segmentation using Distributional Differences to Images of Healthy Origin
Simon Andermatt, Antal Horváth, Simon Pezold +1
Fully supervised segmentation methods require a large training cohort of already segmented images, providing information at the pixel level of each image. We present a method to au…
Multi-dimensional Gated Recurrent Units for Automated Anatomical Landmark Localization
Simon Andermatt, Simon Pezold, Michael Amann +1
We present an automated method for localizing an anatomical landmark in three-dimensional medical images. The method combines two recurrent neural networks in a coarse-to-fine appr…