11 citations · 19 across the 8 of their papers we have counts for
5 papers · 1 filter
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee
Jennifer Maier, Marlies Nitschke, Jang-Hwan Choi +4
Involuntary motion during weight-bearing cone-beam computed tomography (CT) scans of the knee causes artifacts in the reconstructed volumes making them unusable for clinical diagno…
An Investigation of Feature-based Nonrigid Image Registration using Gaussian Process
Siming Bayer, Ute Spiske, Jie Luo +8
For a wide range of clinical applications, such as adaptive treatment planning or intraoperative image update, feature-based deformable registration (FDR) approaches are widely emp…
Action Learning for 3D Point Cloud Based Organ Segmentation
Xia Zhong, Mario Amrehn, Nishant Ravikumar +6
We propose a novel point cloud based 3D organ segmentation pipeline utilizing deep Q-learning. In order to preserve shape properties, the learning process is guided using a statist…
Precision Learning: Towards Use of Known Operators in Neural Networks
Andreas Maier, Frank Schebesch, Christopher Syben +4
In this paper, we consider the use of prior knowledge within neural networks. In particular, we investigate the effect of a known transform within the mapping from input data space…
Precision Learning: Reconstruction Filter Kernel Discretization
Christopher Syben, Bernhard Stimpel, Katharina Breininger +4
In this paper, we present substantial evidence that a deep neural network will intrinsically learn the appropriate way to discretize the ideal continuous reconstruction filter. Cur…