14 citations · 14 across the 1 of their papers we have counts for
3 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…
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…
Gaussian Process Morphable Models
Marcel Lüthi, Christoph Jud, Thomas Gerig +1
Statistical shape models (SSMs) represent a class of shapes as a normal distribution of point variations, whose parameters are estimated from example shapes. Principal component an…