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Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.

V. Christlein, F. Ghesu, T. Würfl, A. Maier, F. Isensee, P. Neher, and K. Maier-Hein. Bildverarbeitung für die Medizin, page 6-7. Springer, (2017)

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Peter Würfl

Lorenz Würfl

Andreas Würfl

Julia Würfl

Waltraut Würfler

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Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom.F. Schiffers, T. Bochynek, A. Aichert, T. Würfl, M. Rubenstein, and O. Cossairt. CoRR, (2020)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. Medical 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)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)Patch-based Carcinoma Detection on Confocal Laser Endomicroscopy Images - A Cross-site Robustness Assessment.M. Aubreville, M. Goncalves, C. Knipfer, N. Oetter, T. Würfl, H. Neumann, F. Stelzle, C. Bohr, and A. Maier. BIOIMAGING, page 27-34. SciTePress, (2018)MR to X-Ray Projection Image Synthesis.B. Stimpel, C. Syben, T. Würfl, K. Mentl, A. Dörfler, and A. Maier. CoRR, (2017)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)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)Estimating the Fundamental Matrix Without Point Correspondences With Application to Transmission Imaging.T. Würfl, A. Aichert, N. Maass, F. Dennerlein, and A. Maier. ICCV, page 1072-1081. IEEE, (2019)Bildanalyse.A. Maier, V. Christlein, K. Breininger, T. Würfl, M. Unberath, and C. Riess. Handbuch der Künstlichen Intelligenz, De Gruyter, (2020)

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Disambiguation of "Würfl, Tobias"

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Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.

Please choose a person to relate this publication to

Peter Würfl

Lorenz Würfl

Andreas Würfl

Julia Würfl

Waltraut Würfler

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Würfl, Tobias"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.

Please choose a person to relate this publication to

Peter Würfl

Lorenz Würfl

Andreas Würfl

Julia Würfl

Waltraut Würfler

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
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Tutorial: Deep Learning Advancing the State-of-the-Art in Medical Image Analysis.