Anja Borsdorf

According to our database, Anja Borsdorf authored at least 20 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Deep Iterative 2D/3D Registration.

Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Karthik Shetty, Andreas Maier

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Learning the Update Operator for 2D/3D Image Registration.

Srikrishna Jaganathan, Jian Wang, Anja Borsdorf, Andreas Maier

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model.

Roman Schaffert, Jian Wang, Peter Fischer, Andreas Maier, Anja Borsdorf

IEEE Trans. Medical Imaging, 2020

Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences.

Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas K. Maier

IEEE Trans. Medical Imaging, 2020

Learning-Based Correspondence Estimation for 2-D/3-D Registration.

Roman Schaffert, Markus Weiß, Jian Wang, Anja Borsdorf, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Learning-Based Misalignment Detection for 2-D/3-D Overlays.

Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

2018

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

Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas Maier

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model.

Jian Wang, Roman Schaffert, Anja Borsdorf, Benno Heigl, Xiaolin Huang, Joachim Hornegger, Andreas K. Maier

IEEE Trans. Medical Imaging, 2017

Real-Time-Capable GPU-Framework for Depth-Aware Rigid 2D/3D Registration.

Matthias Utzschneider, Jian Wang, Roman Schaffert, Anja Borsdorf, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2017 - Algorithmen - Systeme, 2017

2016

Comparison of Rigid Gradient-Based 2D/3D Registration Using Projection and Back-Projection Strategies.

Roman Schaffert, Jian Wang, Anja Borsdorf, Joachim Hornegger, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2016 - Algorithmen - Systeme, 2016

2014

Gradient-Based Differential Approach for 3-D Motion Compensation in Interventional 2-D/3-D Image Fusion.

Jian Wang, Anja Borsdorf, Benno Heigl, Thomas Köhler, Joachim Hornegger

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

Significant acceleration of 2D-3D registration-based fusion of ultrasound and x-ray images by mesh-based DRR rendering.

Markus Kaiser, Matthias John, Anja Borsdorf, Peter Mountney, Razvan Ioan Ionasec, Alois Nöttling, Philipp Kiefer, Jörg Seeburger, Thomas Neumuth

Proceedings of the Medical Imaging 2013: Image-Guided Procedures, 2013

Sparse Depth Sampling for Interventional 2-D/3-D Overlay: Theoretical Error Analysis and Enhanced Motion Estimation.

Jian Wang, Christian Riess, Anja Borsdorf, Benno Heigl, Joachim Hornegger

Proceedings of the Computer Analysis of Images and Patterns, 2013

Depth-Layer-Based Patient Motion Compensation for the Overlay of 3D Volumes onto X-Ray Sequences.

Jian Wang, Anja Borsdorf, Joachim Hornegger

Proceedings of the Bildverarbeitung für die Medizin 2013 - Algorithmen - Systeme, 2013

2008

Wavelet Based Noise Reduction in CT-Images Using Correlation Analysis.

Anja Borsdorf, Rainer Raupach, Thomas Flohr, Joachim Hornegger

IEEE Trans. Medical Imaging, 2008

Multiple CT-reconstructions for locally adaptive anisotropic wavelet denoising.

Anja Borsdorf, Rainer Raupach, Joachim Hornegger

Int. J. Comput. Assist. Radiol. Surg., 2008

Edge-Preserving Denoising for Segmentation in CT-images.

Eva Eibenberger, Anja Borsdorf, Andreas Wimmer, Joachim Hornegger

Proceedings of the Bildverarbeitung für die Medizin 2008, 2008

2007

Nonlinear Diffusion vs. Wavelet Based Noise Reduction in CT Using Correlation Analysis.

Markus Mayer, Anja Borsdorf, Harald Köstler, Joachim Hornegger, Ulrich Rüde

Proceedings of the 12th International Fall Workshop on Vision, Modeling, and Visualization, 2007

Separate CT-Reconstruction for Orientation and Position Adaptive Wavelet Denoising.

Anja Borsdorf, Rainer Raupach, Joachim Hornegger

Proceedings of the Bildverarbeitung für die Medizin 2007, 2007

2006

Wavelet Based Noise Reduction by Identification of Correlations.

Anja Borsdorf, Rainer Raupach, Joachim Hornegger

Proceedings of the Pattern Recognition, 2006