Over-Exposure Correction in CT Using Optimization-Based Multiple Cylinder Fitting. - Alexander Preuhs; Martin Berger 002; Yan Xia 002; Andreas K. Maier; Joachim Hornegger; Rebecca Fahrig (Bildverarbeitung für die Medizin, 2015)

Double Your Views - Exploiting Symmetry in Transmission Imaging. - Alexander Preuhs; Andreas K. Maier; Michael Manhart 001; Javad Fotouhi; Nassir Navab; Mathias Unberath (MICCAI (1), 2018)

Viewpoint planning for quantitative coronary angiography. - Alexander Preuhs; Martin Berger 002; Sebastian Bauer 001; Thomas Redel; Mathias Unberath; Stephan Achenbach; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2018)

Abstract: Double Your Views: Exploiting Symmetry in Transmission Imaging. - Alexander Preuhs; Andreas K. Maier; Michael Manhart 001; Javad Fotouhi; Nassir Navab; Mathias Unberath (Bildverarbeitung für die Medizin, 2019)

Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. - Alexander Preuhs; Nishant Ravikumar; Michael Manhart 001; Bernhard Stimpel; Elisabeth Hoppe; Christopher Syben; Markus Kowarschik; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior. - Yixing Huang; Alexander Preuhs; Günter Lauritsch; Michael Manhart 001; Xiaolin Huang; Andreas Maier 001 (MLMIR@MICCAI, 2019)

Symmetry prior for epipolar consistency. - Alexander Preuhs; Andreas Maier 001; Michael Manhart 001; Markus Kowarschik; Elisabeth Hoppe; Javad Fotouhi; Nassir Navab; Mathias Unberath (Int. J. Comput. Assist. Radiol. Surg., 2019)

Image Quality Assessment for Rigid Motion Compensation. - Alexander Preuhs; Michael Manhart 001; Philipp Roser; Bernhard Stimpel; Christopher Syben; Marios Psychogios; Markus Kowarschik; Andreas K. Maier (CoRR, 2019)

Field of View Extension in Computed Tomography Using Deep Learning Prior. - Yixing Huang; Lei Gao; Alexander Preuhs; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Deep Autofocus with Cone-Beam CT Consistency Constraint. - Alexander Preuhs; Michael Manhart 001; Philipp Roser; Bernhard Stimpel; Christopher Syben; Marios Psychogios; Markus Kowarschik; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Tenfold your Photons. - Philipp Roser; Annette Birkhold; Alexander Preuhs; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation. - Philipp Roser; Annette Birkhold; Alexander Preuhs; Bernhard Stimpel; Christopher Syben; Norbert Strobel; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (Bildverarbeitung für die Medizin, 2020)

Simultaneous Estimation of X-Ray Back-Scatter and Forward-Scatter Using Multi-task Learning. - Philipp Roser; Xia Zhong; Annette Birkhold; Alexander Preuhs; Christopher Syben; Elisabeth Hoppe; Norbert Strobel; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (MICCAI (2), 2020)

Data Consistent CT Reconstruction from Insufficient Data with Learned Prior Images. - Yixing Huang; Alexander Preuhs; Michael Manhart 001; Guenter Lauritsch; Andreas K. Maier (CoRR, 2020)

Reconstruction of Voxels with Position- and Angle-Dependent Weightings. - Lina Felsner; Tobias Würfl; Christopher Syben; Philipp Roser; Alexander Preuhs; Andreas Maier 001; Christian Riess (CoRR, 2020)

2-D Respiration Navigation Framework for 3-D Continuous Cardiac Magnetic Resonance Imaging. - Elisabeth Hoppe; Jens Wetzl; Philipp Roser; Lina Felsner; Alexander Preuhs; Andreas K. Maier (CoRR, 2020)

Appearance Learning for Image-Based Motion Estimation in Tomography. - Alexander Preuhs; Michael Manhart 001; Philipp Roser; Elisabeth Hoppe; Yixing Huang; Marios Psychogios; Markus Kowarschik; Andreas K. Maier (IEEE Trans. Medical Imaging, 2020)

Model-Based and Data-Driven Geometry Alignment for Angiography Systems. - Alexander Preuhs (2020)

2D Respiration Navigation Framework for 3D Continuous Cardiac Magnetic Resonance Imaging. - Elisabeth Hoppe; Jens Wetzl; Philipp Roser; Lina Felsner; Alexander Preuhs; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

Abstract: Simultaneous Estimation of X-ray Back-scatter and Forward-scatter using Multi-task Learning. - Philipp Roser; Xia Zhong; Annette Birkhold; Alexander Preuhs; Christopher Syben; Elisabeth Hoppe; Norbert Strobel; Markus Kowarschik; Rebecca Fahrig; Andreas Maier 001 (Bildverarbeitung für die Medizin, 2021)

XDose: toward online cross-validation of experimental and computational X-ray dose estimation. - Philipp Roser; Annette Birkhold; Alexander Preuhs; Philipp Ochs; Elizaveta Stepina; Norbert Strobel; Markus Kowarschik; Rebecca Fahrig; Andreas K. Maier (Int. J. Comput. Assist. Radiol. Surg., 2021)

Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging. - Elisabeth Hoppe; Jens Wetzl; Seung Su Yoon; Mario Bacher; Philipp Roser; Bernhard Stimpel; Alexander Preuhs; Andreas Maier 001 (IEEE Trans. Medical Imaging, 2021)

Data Extrapolation From Learned Prior Images for Truncation Correction in Computed Tomography. - Yixing Huang; Alexander Preuhs; Michael Manhart 001; Guenter Lauritsch; Andreas Maier 001 (IEEE Trans. Medical Imaging, 2021)

X-Ray Scatter Estimation Using Deep Splines. - Philipp Roser; Annette Birkhold; Alexander Preuhs; Christopher Syben; Lina Felsner; Elisabeth Hoppe; Norbert Strobel; Markus Kowarschik; Rebecca Fahrig; Andreas Maier 001 (IEEE Trans. Medical Imaging, 2021)

Routine Usage of AI-based Chest X-ray Reading Support in a Multi-site Medical Supply Center. - Karsten Ridder; Alexander Preuhs; Axel Mertins; Clemens Joerger (CoRR, 2022)

A Gradient-Based Approach to Fast and Accurate Head Motion Compensation in Cone-Beam CT. - Mareike Thies; Fabian Wagner; Noah Maul; Haijun Yu; Manuela Goldmann; Linda-Sophie Schneider; Mingxuan Gu; Siyuan Mei; Lukas Folle; Alexander Preuhs; Michael Manhart 001; Andreas K. Maier (IEEE Trans. Medical Imaging, 2025)