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Tobias Würfl
Tobias Würfl
Siemens Healthineers
Verifierad e-postadress på siemens-healthineers.com - Startsida
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Deep learning computed tomography: Learning projection-domain weights from image domain in limited angle problems
T Würfl, M Hoffmann, V Christlein, K Breininger, Y Huang, M Unberath, ...
IEEE transactions on medical imaging 37 (6), 1454-1463, 2018
2492018
Deep learning computed tomography
T Würfl, FC Ghesu, V Christlein, A Maier
Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016
1992016
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
1722019
Adversarial and perceptual refinement for compressed sensing MRI reconstruction
M Seitzer, G Yang, J Schlemper, O Oktay, T Würfl, V Christlein, T Wong, ...
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1292018
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series.
E Hoppe, G Körzdörfer, T Würfl, J Wetzl, F Lugauer, J Pfeuffer, AK Maier
GMDS 243, 202-206, 2017
1242017
Some investigations on robustness of deep learning in limited angle tomography
Y Huang, T Würfl, K Breininger, L Liu, G Lauritsch, A Maier
Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018
1072018
A deep learning architecture for limited-angle computed tomography reconstruction
K Hammernik, T Würfl, T Pock, A Maier
Bildverarbeitung für die Medizin 2017: Algorithmen-Systeme-Anwendungen …, 2017
101*2017
Torchmeta: A meta-learning library for pytorch
T Deleu, T Würfl, M Samiei, JP Cohen, Y Bengio
arXiv preprint arXiv:1909.06576, 2019
872019
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
602018
Frangi-net
W Fu, K Breininger, R Schaffert, N Ravikumar, T Würfl, J Fujimoto, E Moult, ...
Bildverarbeitung für die Medizin 2018: Algorithmen-Systeme-Anwendungen …, 2018
412018
Epipolar Consistency Guided Beam Hardening Reduction-ECC 2
T Würfl, N Maaß, F Dennerlein, X Huang, AK Maier
14th International Meeting on Fully Three-Dimensional Image Reconstruction …, 2017
302017
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
282017
Empirical scatter correction using the epipolar consistency condition
M Hoffmann, T Würfl, N Maaß, F Dennerlein, A Aichert, AK Maier
5th International Conference on Image Formation in X-Ray Computed Tomography …, 2018
252018
Deriving neural network architectures using precision learning: Parallel-to-fan beam conversion
C Syben, B Stimpel, J Lommen, T Würfl, A Dörfler, A Maier
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
242019
U-Net for SPECT Image Denoising
MP Reymann, T Würfl, P Ritt, B Stimpel, M Cachovan, AH Vija, A Maier
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC …, 2019
212019
Deep‐learning‐based pipeline for module power prediction from electroluminescense measurements
M Hoffmann, C Buerhop‐Lutz, L Reeb, T Pickel, T Winkler, B Doll, T Würfl, ...
Progress in Photovoltaics: Research and Applications 29 (8), 920-935, 2021
182021
Deep learning for magnetic resonance fingerprinting: Accelerating the reconstruction of quantitative relaxation maps
E Hoppe, G Körzdörfer, M Nittka, T Würfl, J Wetzl, F Lugauer, M Schneider
Proceedings of the 26th Annual Meeting of ISMRM, Paris, France, 2018
182018
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
182017
Calibration‐free beam hardening reduction in x‐ray CBCT using the epipolar consistency condition and physical constraints
T Würfl, M Hoffmann, A Aichert, AK Maier, N Maaß, F Dennerlein
Medical physics 46 (12), e810-e822, 2019
152019
2-step sparse-view ct reconstruction with a domain-specific perceptual network
H Wei, F Schiffers, T Würfl, D Shen, D Kim, AK Katsaggelos, O Cossairt
arXiv preprint arXiv:2012.04743, 2020
122020
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