Bernhard Stimpel
Bernhard Stimpel
Verified email at fau.de - Homepage
Title
Cited by
Cited by
Year
Learning with known operators reduces maximum error bounds
AK Maier, C Syben, B Stimpel, T Würfl, M Hoffmann, F Schebesch, W Fu, ...
Nature machine intelligence 1 (8), 373-380, 2019
322019
Precision learning: reconstruction filter kernel discretization
C Syben, B Stimpel, K Breininger, T Würfl, R Fahrig, A Dörfler, A Maier
arXiv preprint arXiv:1710.06287, 2017
122017
Deriving neural network architectures using precision learning: Parallel-to-fan beam conversion
C Syben, B Stimpel, J Lommen, T Würfl, A Dörfler, A Maier
German Conference on Pattern Recognition, 503-517, 2018
102018
MR to X-ray projection image synthesis
B Stimpel, C Syben, T Würfl, K Mentl, A Dörfler, A Maier
arXiv preprint arXiv:1710.07498, 2017
92017
PYRO‐NN: Python reconstruction operators in neural networks
C Syben, M Michen, B Stimpel, S Seitz, S Ploner, AK Maier
Medical physics 46 (11), 5110-5115, 2019
72019
Maximum likelihood estimation of head motion using epipolar consistency
A Preuhs, N Ravikumar, M Manhart, B Stimpel, E Hoppe, C Syben, ...
Bildverarbeitung für die Medizin 2019, 134-139, 2019
62019
MR-projection Imaging with Perspective Distortion as in X-ray Fluoroscopy for Interventional X/MR-hybrid Applications
JM Lommen, C Syben, B Stimpel, S Bayer, AM Nagel, R Fahrig, A Dörfler, ...
Proceedings of the 12th Interventional MRI Symposium 54, 2018
42018
Fan-beam projection image acquisition using MRI
C Syben, B Stimpel, M Leghissa, A Dörfler, A Maier
3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie, 14-15, 2017
42017
Fully-automatic CT data preparation for interventional X-ray skin dose simulation
P Roser, A Birkhold, A Preuhs, B Stimpel, C Syben, N Strobel, ...
Bildverarbeitung für die Medizin 2020, 125-130, 2020
22020
projection-to-projection translation for Hybrid X-ray and Magnetic Resonance imaging
B Stimpel, C Syben, T Würfl, K Breininger, P Hoelter, A Dörfler, A Maier
Scientific Reports 9 (1), 1-10, 2019
22019
Image quality assessment for rigid motion compensation
A Preuhs, M Manhart, P Roser, B Stimpel, C Syben, M Psychogios, ...
arXiv preprint arXiv:1910.04254, 2019
22019
Projection image-to-image translation in hybrid X-ray/MR imaging
B Stimpel, C Syben, T Würfl, K Breininger, JM Lommen, A Dörfler, A Maier
Medical Imaging 2019: Image Processing 10949, 109492K, 2019
22019
Methods for performing digital subtraction angiography, hybrid imaging devices, computer programs, and electronically readable storage media
M Leghissa, A Maier, B Stimpel, C Syben
US Patent App. 16/048,536, 2019
22019
Multi-modal super-resolution with deep guided filtering
B Stimpel, C Syben, F Schirrmacher, P Hoelter, A Dörfler, A Maier
Bildverarbeitung für die Medizin 2019, 110-115, 2019
22019
A deep learning approach for reconstruction filter kernel discretization
PLB Filter
22017
Known Operator Learning enables Constrained Projection Geometry Conversion: Parallel to Cone-beam for Hybrid MR/X-ray Imaging
C Syben, B Stimpel, P Roser, A Dörfler, A Maier
IEEE Transactions on Medical Imaging, 2020
12020
Deep autofocus with cone-beam CT consistency constraint
A Preuhs, M Manhart, P Roser, B Stimpel, C Syben, M Psychogios, ...
Bildverarbeitung für die Medizin 2020, 169-174, 2020
12020
Multi-Modal Deep Guided Filtering for Comprehensible Medical Image Processing
B Stimpel, C Syben, F Schirrmacher, P Hoelter, A Dörfler, A Maier
IEEE transactions on medical imaging, 2019
12019
User Loss A Forced-Choice-Inspired Approach to Train Neural Networks Directly by User Interaction
S Zarei, B Stimpel, C Syben, A Maier
Bildverarbeitung für die Medizin 2019, 92-97, 2019
12019
Fan-to-Parallel Beam Conversion
C Syben, B Stimpel, J Lommen, T Würfl, A Dörfler, A Maier
Bildverarbeitung für die Medizin 2019, 29-29, 2019
12019
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Articles 1–20