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2020 – today
- 2022
[i12]Luca Deininger
, Bernhard Stimpel, Anil Yüce, Samaneh Abbasi-Sureshjani, Simon Schönenberger, Paolo Ocampo, Konstanty Korski, Fabien Gaire:
A comparative study between vision transformers and CNNs in digital pathology. CoRR abs/2206.00389 (2022)- 2021
- [b1]Bernhard Stimpel:
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). University of Erlangen-Nuremberg, Germany, 2021 - [j5]Elisabeth Hoppe, Jens Wetzl, Seung Su Yoon, Mario Bacher, Philipp Roser, Bernhard Stimpel, Alexander Preuhs, Andreas Maier:
Deep Learning-Based ECG-Free Cardiac Navigation for Multi-Dimensional and Motion-Resolved Continuous Magnetic Resonance Imaging. IEEE Trans. Medical Imaging 40(8): 2105-2117 (2021) - 2020
- [j4]Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing. IEEE Trans. Medical Imaging 39(5): 1703-1711 (2020) - [j3]Christopher Syben, Bernhard Stimpel, Philipp Roser, Arnd Dörfler, Andreas K. Maier:
Known Operator Learning Enables Constrained Projection Geometry Conversion: Parallel to Cone-Beam for Hybrid MR/X-Ray Imaging. IEEE Trans. Medical Imaging 39(11): 3488-3498 (2020) - [c10]Philipp Roser, Annette Birkhold, Alexander Preuhs, Bernhard Stimpel, Christopher Syben, Norbert Strobel, Markus Kowarschik, Rebecca Fahrig, Andreas K. Maier:
Fully-Automatic CT Data Preparation for Interventional X-Ray Skin Dose Simulation. Bildverarbeitung für die Medizin 2020: 125-130 - [c9]Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier:
Deep Autofocus with Cone-Beam CT Consistency Constraint. Bildverarbeitung für die Medizin 2020: 169-174 - [c8]Franziska Schirrmacher, Benedikt Lorch, Bernhard Stimpel, Thomas Köhler, Christian Riess:
SR2: Super-Resolution With Structure-Aware Reconstruction. ICIP 2020: 533-537
2010 – 2019
- 2019
- [j2]Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with known operators reduces maximum error bounds. Nat. Mach. Intell. 1(8): 373-380 (2019) - [c7]Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier:
Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning. Bildverarbeitung für die Medizin 2019: 29 - [c6]Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas K. Maier:
User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction. Bildverarbeitung für die Medizin 2019: 92-97 - [c5]Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Multi-Modal Super-Resolution with Deep Guided Filtering. Bildverarbeitung für die Medizin 2019: 110-115 - [c4]Alexander Preuhs, Nishant Ravikumar, Michael Manhart, Bernhard Stimpel, Elisabeth Hoppe, Christopher Syben, Markus Kowarschik, Andreas K. Maier:
Maximum Likelihood Estimation of Head Motion Using Epipolar Consistency. Bildverarbeitung für die Medizin 2019: 134-139 - [c3]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Jonathan M. Lommen, Arnd Dörfler, Andreas K. Maier:
Projection image-to-image translation in hybrid x-ray/MR imaging. Medical Imaging: Image Processing 2019: 109492K - [i11]Christopher Syben, Markus Michen, Bernhard Stimpel, Stephan Seitz, Stefan B. Ploner, Andreas K. Maier:
PYRO-NN: Python Reconstruction Operators in Neural Networks. CoRR abs/1904.13342 (2019) - [i10]Andreas K. Maier, Christopher Syben, Bernhard Stimpel, Tobias Würfl, Mathis Hoffmann, Frank Schebesch, Weilin Fu, Leonid Mill, Lasse Kling, Silke H. Christiansen:
Learning with Known Operators reduces Maximum Training Error Bounds. CoRR abs/1907.01992 (2019) - [i9]Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas K. Maier:
Image Quality Assessment for Rigid Motion Compensation. CoRR abs/1910.04254 (2019) - [i8]Bernhard Stimpel, Christopher Syben, Franziska Schirrmacher, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Multi-modal Deep Guided Filtering for Comprehensible Medical Image Processing. CoRR abs/1911.07731 (2019) - [i7]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Philip Hoelter, Arnd Dörfler, Andreas K. Maier:
Projection-to-Projection Translation for Hybrid X-ray and Magnetic Resonance Imaging. CoRR abs/1911.08163 (2019) - [i6]Alexander Preuhs, Michael Manhart, Philipp Roser, Bernhard Stimpel, Christopher Syben, Marios Psychogios, Markus Kowarschik, Andreas Maier:
Deep autofocus with cone-beam CT consistency constraint. CoRR abs/1911.13162 (2019) - 2018
- [j1]Bernhard Stimpel, Jens Wetzl, Christoph Forman, Michaela Schmidt, Andreas K. Maier, Mathias Unberath:
Automated Curved and Multiplanar Reformation for Screening of the Proximal Coronary Arteries in MR Angiography. J. Imaging 4(11): 124 (2018) - [c2]Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas Maier:
Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion. GCPR 2018: 503-517 - [i5]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katharina Breininger, Katrin Mentl, Jonathan Lommen, Arnd Dörfler, Andreas K. Maier:
Projection image-to-image translation in hybrid X-ray/MR imaging. CoRR abs/1804.03955 (2018) - [i4]Christopher Syben, Bernhard Stimpel, Jonathan Lommen, Tobias Würfl, Arnd Dörfler, Andreas K. Maier:
Deriving Neural Network Architectures using Precision Learning: Parallel-to-fan beam Conversion. CoRR abs/1807.03057 (2018) - [i3]Shahab Zarei, Bernhard Stimpel, Christopher Syben, Andreas K. Maier:
User Loss - A Forced-Choice-Inspired Approach to Train Neural Networks directly by User Interaction. CoRR abs/1807.09303 (2018) - 2017
- [c1]Patrick Löber, Bernhard Stimpel, Christopher Syben, Andreas K. Maier, Hendrik Ditt, Peter Schramm, Boy Raczkowski, André Kemmling:
Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke. VCBM 2017: 125-129 - [i2]Christopher Syben, Bernhard Stimpel, Katharina Breininger, Tobias Würfl, Rebecca Fahrig, Arnd Dörfler, Andreas K. Maier:
A Deep Learning Approach for Reconstruction Filter Kernel Discretization. CoRR abs/1710.06287 (2017) - [i1]Bernhard Stimpel, Christopher Syben, Tobias Würfl, Katrin Mentl, Arnd Dörfler, Andreas K. Maier:
MR to X-Ray Projection Image Synthesis. CoRR abs/1710.07498 (2017)
Coauthor Index
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