Roman Schaffert

19 papers A 1Journal 7Unranked 11

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