Epipolar Consistency in Fluoroscopy for Image-Based Tracking. - André Aichert; Jian Wang 009; Roman Schaffert; Arnd Dörfler; Joachim Hornegger; Andreas K. Maier (BMVC, 2015)

Comparison of Rigid Gradient-Based 2D/3D Registration Using Projection and Back-Projection Strategies. - Roman Schaffert; Jian Wang 009; Anja Borsdorf; Joachim Hornegger; Andreas K. Maier (Bildverarbeitung für die Medizin, 2016)

Real-Time-Capable GPU-Framework for Depth-Aware Rigid 2D/3D Registration. - Matthias Utzschneider; Jian Wang 009; Roman Schaffert; Anja Borsdorf; Andreas K. Maier (Bildverarbeitung für die Medizin, 2017)

Frangi-Net: A Neural Network Approach to Vessel Segmentation. - Weilin Fu; Katharina Breininger; Tobias Würfl; Nishant Ravikumar; Roman Schaffert; Andreas K. Maier (CoRR, 2017)

Dynamic 2-D/3-D Rigid Registration Framework Using Point-To-Plane Correspondence Model. - Jian Wang 009; Roman Schaffert; Anja Borsdorf; Benno Heigl; Xiaolin Huang; Joachim Hornegger; Andreas K. Maier (IEEE Trans. Medical Imaging, 2017)

Preliminary Study Investigating Brain Shift Compensation using 3D CBCT Cerebral Vascular Images. - Siming Bayer; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier; Xiaodong Tong; Hu Wang; Martin Ostermeier; Rebecca Fahrig (Bildverarbeitung für die Medizin, 2018)

Frangi-Net. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Tobias Würfl; Jim Fujimoto; Eric Moult; Andreas K. Maier (Bildverarbeitung für die Medizin, 2018)

Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration. - Roman Schaffert; Jian Wang 009; Peter Fischer 001; Anja Borsdorf; Andreas Maier 001 (GCPR, 2018)

A Divide-and-Conquer Approach Towards Understanding Deep Networks. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier (MICCAI (1), 2019)

Abstract: Divide-And-Conquer Approach Towards Understanding Deep Networks. - Weilin Fu; Katharina Breininger; Roman Schaffert; Nishant Ravikumar; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Learning-Based Misalignment Detection for 2-D/3-D Overlays. - Roman Schaffert; Jian Wang 009; Peter Fischer 001; Anja Borsdorf; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Learning-Based Correspondence Estimation for 2-D/3-D Registration. - Roman Schaffert; Markus Weiß; Jian Wang 009; Anja Borsdorf; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Learning an Attention Model for Robust 2-D/3-D Registration Using Point-To-Plane Correspondences. - Roman Schaffert; Jian Wang 009; Peter Fischer 001; Anja Borsdorf; Andreas K. Maier (IEEE Trans. Medical Imaging, 2020)

Robust Multi-View 2-D/3-D Registration Using Point-To-Plane Correspondence Model. - Roman Schaffert; Jian Wang 009; Peter Fischer 001; Andreas Maier 001; Anja Borsdorf (IEEE Trans. Medical Imaging, 2020)

"Keep it simple, scholar": an experimental analysis of few-parameter segmentation networks for retinal vessels in fundus imaging. - Weilin Fu; Katharina Breininger; Roman Schaffert; Zhaoya Pan; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2021)

Form Follows Function - Smart Network Design Enables Zero-shot Network Reuse. - Weilin Fu; Lennart Husvogt; Katharina Breininger; Roman Schaffert; Omar Abu-Qamar; James G. Fujimoto; Andreas K. Maier (Bildverarbeitung für die Medizin, 2022)

Ultra-low Dose CT Image Denoising based on Conditional Denoising Diffusion Probabilistic model. - Qiwei Li; Chen Li; Chenggong Yan; Xiaomei Li; Haixia Li; Tianjing Zhang; Hui Song; Roman Schaffert; Weimin Yu; Yu Fan; Jianwei Ye; Hao Chen (CyberC, 2022)