17 citations · 43 across the 5 of their papers we have counts for
7 papers · 1 filter
The Swiss Army Knife for Image-to-Image Translation: Multi-Task Diffusion Models
Julia Wolleb, Robin Sandkühler, Florentin Bieder +1
Recently, diffusion models were applied to a wide range of image analysis tasks. We build on a method for image-to-image translation using denoising diffusion implicit models and i…
Comparison of Methods Generalizing Max- and Average-Pooling
Florentin Bieder, Robin Sandkühler, Philippe C. Cattin
Max- and average-pooling are the most popular pooling methods for downsampling in convolutional neural networks. In this paper, we compare different pooling methods that generalize…
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…
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…