Christopher Syben
Christopher Syben
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Zitiert von
Zitiert von
A gentle introduction to deep learning in medical image processing
A Maier, C Syben, T Lasser, C Riess
Zeitschrift für Medizinische Physik 29 (2), 86-101, 2019
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
Precision learning: towards use of known operators in neural networks
A Maier, F Schebesch, C Syben, T Würfl, S Steidl, JH Choi, R Fahrig
2018 24th International Conference on Pattern Recognition (ICPR), 183-188, 2018
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
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
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
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
RinQ fingerprinting: recurrence-informed quantile networks for magnetic resonance fingerprinting
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
International Conference on Medical Image Computing and Computer-Assisted …, 2019
Detecting anatomical landmarks for motion estimation in weight-bearing imaging of knees
B Bier, K Aschoff, C Syben, M Unberath, M Levenston, G Gold, R Fahrig, ...
International Workshop on Machine Learning for Medical Image Reconstruction …, 2018
Magnetic Resonance Fingerprinting Reconstruction Using Recurrent Neural Networks.
E Hoppe, F Thamm, G Körzdörfer, C Syben, F Schirrmacher, M Nittka, ...
GMDS, 126-133, 2019
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
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
Reconstruction of Voxels with Position-and Angle-Dependent Weightings
L Felsner, T Würfl, C Syben, P Roser, A Preuhs, A Maier, C Riess
arXiv preprint arXiv:2010.14205, 2020
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
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 39 (11), 3488-3498, 2020
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 39 (5), 1703-1711, 2019
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 10,682,110, 2020
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
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
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
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