309 citations · 330 across the 3 of their papers we have counts for
3 papers
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…
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…