171 citations · 267 across the 20 of their papers we have counts for
3 papers · 1 filter
MR image reconstruction using deep density priors
Kerem C. Tezcan, Christian F. Baumgartner, Roger Luechinger +2
Algorithms for Magnetic Resonance (MR) image reconstruction from undersampled measurements exploit prior information to compensate for missing k-space data. Deep learning (DL) prov…
Visual Feature Attribution using Wasserstein GANs
Christian F. Baumgartner, Lisa M. Koch, Kerem Can Tezcan +2
Attributing the pixels of an input image to a certain category is an important and well-studied problem in computer vision, with applications ranging from weakly supervised localis…
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation
Christian F. Baumgartner, Lisa M. Koch, Marc Pollefeys +1
Accurate segmentation of the heart is an important step towards evaluating cardiac function. In this paper, we present a fully automated framework for segmentation of the left (LV)…