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A Deep Learning Approach for Reconstruction Filter Kernel Discretization.

C. Syben, B. Stimpel, K. Breininger, T. Würfl, R. Fahrig, A. Dörfler, and A. Maier. CoRR, (2017)

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Tobias Menold University of Stuttgart

Tobias Rentschler University of Stuttgart

Tobias Schwinn University of Stuttgart

Tobias Eisenreich University of Stuttgart

Tobias Schlager University of Stuttgart

Other publications of authors with the same name

Towards Arbitrary Noise Augmentation - Deep Learning for Sampling from Arbitrary Probability Distributions.F. Horger, T. Würfl, V. Christlein, and A. Maier. MLMIR@MICCAI, volume 11074 of Lecture Notes in Computer Science, page 129-137. Springer, (2018)MR to X-Ray Projection Image Synthesis.B. Stimpel, C. Syben, T. Würfl, K. Mentl, A. Dörfler, and A. Maier. CoRR, (2017)Precision Learning: Towards Use of Known Operators in Neural Networks.A. Maier, F. Schebesch, C. Syben, T. Würfl, S. Steidl, J. Choi, and R. Fahrig. CoRR, (2017)Abstract: Some Investigations on Robustness of Deep Learning in Limited Angle Tomography.Y. Huang, T. Würfl, K. Breininger, L. Liu, G. Lauritsch, and A. Maier. Bildverarbeitung für die Medizin, page 21. Springer Vieweg, (2019)Optimizing R with SparkR on a commodity cluster for biomedical research.M. Sedlmayr, T. Würfl, C. Maier, L. Häberle, P. Fasching, H. Prokosch, and J. Christoph. Computer Methods and Programs in Biomedicine, (2016)Precision Learning: Towards Use of Known Operators in Neural Networks.A. Maier, F. Schebesch, C. Syben, T. Würfl, S. Steidl, J. Choi, and R. Fahrig. ICPR, page 183-188. IEEE Computer Society, (2018)Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion.C. Syben, B. Stimpel, J. Lommen, T. Würfl, A. Dörfler, and A. Maier. GCPR, volume 11269 of Lecture Notes in Computer Science, page 503-517. Springer, (2018)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, and A. Maier. IEEE Trans. Med. Imaging, 37 (6): 1454-1463 (2018)A Deep Learning Approach for Reconstruction Filter Kernel Discretization.C. Syben, B. Stimpel, K. Breininger, T. Würfl, R. Fahrig, A. Dörfler, and A. Maier. CoRR, (2017)Abstract: Fan-to-Parallel Beam Conversion - Deriving Neural Network Architectures Using Precision Learning.C. Syben, B. Stimpel, J. Lommen, T. Würfl, A. Dörfler, and A. Maier. Bildverarbeitung für die Medizin, page 29. Springer Vieweg, (2019)

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Disambiguation of "Würfl, Tobias"

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A Deep Learning Approach for Reconstruction Filter Kernel Discretization.

Please choose a person to relate this publication to

Tobias Menold University of Stuttgart

Tobias Rentschler University of Stuttgart

Tobias Schwinn University of Stuttgart

Tobias Eisenreich University of Stuttgart

Tobias Schlager University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Würfl, Tobias"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML A Deep Learning Approach for Reconstruction Filter Kernel Discretization.

Please choose a person to relate this publication to

Tobias Menold University of Stuttgart

Tobias Rentschler University of Stuttgart

Tobias Schwinn University of Stuttgart

Tobias Eisenreich University of Stuttgart

Tobias Schlager University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
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A Deep Learning Approach for Reconstruction Filter Kernel Discretization.