Roman Schaffert

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 19

Top Topics

Registration Framework

Driven Learning

Top Venues

Bildverarbeitung für die Medizin

IEEE Trans. Medical Imaging

Publications

Weilin Fu, Lennart Husvogt, Katharina Breininger, Roman Schaffert, Omar Abu-Qamar, James G. Fujimoto, Andreas K. Maier
Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse. Bildverarbeitung für die Medizin (2022)
Qiwei Li, Chen Li, Chenggong Yan, Xiaomei Li, Haixia Li, Tianjing Zhang, Hui Song, Roman Schaffert, Weimin Yu, Yu Fan, Jianwei Ye, Hao Chen
Ultra-low Dose CT Image Denoising based on Conditional Denoising Diffusion Probabilistic model. CyberC (2022)
Weilin Fu, Katharina Breininger, Roman Schaffert, Zhaoya Pan, Andreas K. Maier
"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. Int. J. Comput. Assist. Radiol. Surg. 16 (6) (2021)
Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas K. Maier
Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences. IEEE Trans. Medical Imaging 39 (10) (2020)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. Bildverarbeitung für die Medizin (2020)
Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas K. Maier
Learning-Based Misalignment Detection for 2-D/3-D Overlays. Bildverarbeitung für die Medizin (2020)
Roman Schaffert, Jian Wang, Peter Fischer, Andreas Maier, Anja Borsdorf
Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model. IEEE Trans. Medical Imaging 39 (1) (2020)
Roman Schaffert, Markus Weiß, Jian Wang, Anja Borsdorf, Andreas K. Maier
Learning-Based Correspondence Estimation for 2-D/3-D Registration. Bildverarbeitung für die Medizin (2020)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
A Divide-and-Conquer Approach towards Understanding Deep Networks. CoRR (2019)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier
A Divide-and-Conquer Approach Towards Understanding Deep Networks. MICCAI (1) (2019)
Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas K. Maier
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration. CoRR (2018)
Siming Bayer, Roman Schaffert, Nishant Ravikumar, Andreas K. Maier, Xiaodong Tong, Hu Wang, Martin Ostermeier, Rebecca Fahrig
Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images. Bildverarbeitung für die Medizin (2018)
Weilin Fu, Katharina Breininger, Roman Schaffert, Nishant Ravikumar, Tobias Würfl, Jim Fujimoto, Eric Moult, Andreas K. Maier
Frangi-Net. Bildverarbeitung für die Medizin (2018)
Roman Schaffert, Jian Wang, Peter Fischer, Anja Borsdorf, Andreas Maier
Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration. GCPR (2018)
Weilin Fu, Katharina Breininger, Tobias Würfl, Nishant Ravikumar, Roman Schaffert, Andreas K. Maier
Frangi-Net: A Neural Network Approach to Vessel Segmentation. CoRR (2017)
Jian Wang, Roman Schaffert, Anja Borsdorf, Benno Heigl, Xiaolin Huang, Joachim Hornegger, Andreas K. Maier
Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model. IEEE Trans. Medical Imaging 36 (9) (2017)
Matthias Utzschneider, Jian Wang, Roman Schaffert, Anja Borsdorf, Andreas K. Maier
Real-Time-Capable GPU-Framework for Depth-Aware Rigid 2D/3D Registration. Bildverarbeitung für die Medizin (2017)
Roman Schaffert, Jian Wang, Anja Borsdorf, Joachim Hornegger, Andreas K. Maier
Comparison of Rigid Gradient-Based 2D/3D Registration Using Projection and Back-Projection Strategies. Bildverarbeitung für die Medizin (2016)
André Aichert, Jian Wang, Roman Schaffert, Arnd Dörfler, Joachim Hornegger, Andreas K. Maier
Epipolar Consistency in Fluoroscopy for Image-Based Tracking. BMVC (2015)