Bernhard Stimpel

According to our database, Bernhard Stimpel authored at least 24 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

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

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

PhD thesis, 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

IEEE Trans. Medical Imaging, 2021

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

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

SR²: Super-Resolution With Structure-Aware Reconstruction.

Franziska Schirrmacher, Benedikt Lorch, Bernhard Stimpel, Thomas Köhler, Christian Riess

Proceedings of the IEEE International Conference on Image Processing, 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

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

Deep Autofocus with Cone-Beam CT Consistency Constraint.

Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2020 - Algorithmen - Systeme, 2020

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

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

Image Quality Assessment for Rigid Motion Compensation.

Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, 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

PYRO-NN: Python Reconstruction Operators in Neural Networks.

Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan B. Ploner, Andreas K. Maier

CoRR, 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

Proceedings of the Medical Imaging 2019: Image Processing, 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

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 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

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Multi-Modal Super-Resolution with Deep Guided Filtering.

Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency.

Alexander Preuhs, Nishant Ravikumar, Michael Manhart, Bernhard Stimpel, Elisabeth Hoppe, Christopher Syben, Markus Kowarschik, Andreas K. Maier

Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019

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

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

Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion.

Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

MR to X-Ray Projection Image Synthesis.

Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas K. Maier

CoRR, 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

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

Proceedings of the VCBM 17: Eurographics Workshop on Visual Computing for Biology and Medicine, 2017