Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke. - Patrick Löber; Bernhard Stimpel; Christopher Syben; Andreas K. Maier; Hendrik Ditt; Peter Schramm; Boy Raczkowski; André Kemmling (VCBM, 2017)

A Deep Learning Approach for Reconstruction Filter Kernel Discretization. - Christopher Syben; Bernhard Stimpel; Katharina Breininger; Tobias Würfl; Rebecca Fahrig; Arnd Dörfler; Andreas K. Maier (CoRR, 2017)

MR to X-Ray Projection Image Synthesis. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katrin Mentl; Arnd Dörfler; Andreas K. Maier (CoRR, 2017)

Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. - Christopher Syben; Bernhard Stimpel; Jonathan Lommen; Tobias Würfl; Arnd Dörfler; Andreas Maier 001 (GCPR, 2018)

Projection image-to-image translation in hybrid X-ray/MR imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Katrin Mentl; Jonathan Lommen; Arnd Dörfler; Andreas K. Maier (CoRR, 2018)

Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography. - Bernhard Stimpel; Jens Wetzl; Christoph Forman; Michaela Schmidt; Andreas K. Maier; Mathias Unberath (J. Imaging, 2018)

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)

Multi-Modal Super-Resolution with Deep Guided Filtering. - Bernhard Stimpel; Christopher Syben; Franziska Schirrmacher; Philip Hoelter; Arnd Dörfler; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning. - Christopher Syben; Bernhard Stimpel; Jonathan Lommen; Tobias Würfl; Arnd Dörfler; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction. - Shahab Zarei; Bernhard Stimpel; Christopher Syben; Andreas K. Maier (Bildverarbeitung für die Medizin, 2019)

Projection image-to-image translation in hybrid x-ray/MR imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Jonathan M. Lommen; Arnd Dörfler; Andreas K. Maier (Image Processing, 2019)

PYRO-NN: Python Reconstruction Operators in Neural Networks. - Christopher Syben; Markus Michen; Bernhard Stimpel; Stephan Seitz; Stefan B. Ploner; Andreas K. Maier (CoRR, 2019)

Learning with Known Operators reduces Maximum Training Error Bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (CoRR, 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)

Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. - Bernhard Stimpel; Christopher Syben; Tobias Würfl; Katharina Breininger; Philip Hoelter; Arnd Dörfler; Andreas K. Maier (CoRR, 2019)

Learning with known operators reduces maximum error bounds. - Andreas K. Maier; Christopher Syben; Bernhard Stimpel; Tobias Würfl; Mathis Hoffmann; Frank Schebesch; Weilin Fu; Leonid Mill; Lasse Kling; Silke H. Christiansen (Nat. Mach. Intell., 2019)

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)

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)

SR2: Super-Resolution With Structure-Aware Reconstruction. - Franziska Schirrmacher; Benedikt Lorch; Bernhard Stimpel; Thomas Köhler 004; Christian Riess (ICIP, 2020)

Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing. - Bernhard Stimpel; Christopher Syben; Franziska Schirrmacher; Philip Hoelter; Arnd Dörfler; Andreas K. Maier (IEEE Trans. Medical Imaging, 2020)

Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging. - Christopher Syben; Bernhard Stimpel; Philipp Roser; Arnd Dörfler; Andreas K. Maier (IEEE Trans. Medical Imaging, 2020)

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)

Multi-modal Medical Image Processing with Applications in Hybrid X-ray/Magnetic Resonance Imaging (Multimodale medizinische Bildverarbeitung mit Anwendungen in der hybriden R¨ontgen-/Magnetresonanzbildgebung) - Bernhard Stimpel (2021)

A comparative study between vision transformers and CNNs in digital pathology. - Luca Deininger; Bernhard Stimpel; Anil Yüce; Samaneh Abbasi-Sureshjani; Simon Schönenberger; Paolo Ocampo; Konstanty Korski; Fabien Gaire (CoRR, 2022)