A Divide-and-Conquer Approach towards Understanding Deep Networks

no code implementations • 14 Jul 2019 • Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas Maier

We start with a high-performance U-Net and show by step-by-step conversion that we are able to divide the network into modules of known operators.

Image Segmentation Retinal Vessel Segmentation +1

Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration

no code implementations • 20 Jun 2018 • Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas Maier

For single-vertebra registration, we achieve an accuracy of 0. 74$\pm$0. 26 mm and highly improved robustness.

Image Registration Motion Estimation

Frangi-Net: A Neural Network Approach to Vessel Segmentation

no code implementations • 9 Nov 2017 • Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas Maier

In this paper, we reformulate the conventional 2-D Frangi vesselness measure into a pre-weighted neural network ("Frangi-Net"), and illustrate that the Frangi-Net is equivalent to the original Frangi filter.