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Predicting breast tumor proliferation from whole-slide images: the TUPAC16 challenge.

M. Veta, Y. Heng, N. Stathonikos, B. Bejnordi, F. Beca, T. Wollmann, K. Rohr, M. Shah, D. Wang, M. Rousson, M. Hedlund, D. Tellez, F. Ciompi, E. Zerhouni, D. Lanyi, M. Viana, V. Kovalev, V. Liauchuk, H. Phoulady, T. Qaiser, S. Graham, N. Rajpoot, E. Sjöblom, J. Molin, K. Paeng, S. Hwang, S. Park, Z. Jia, E. Chang, Y. Xu, A. Beck, P. van Diest, and J. Pluim. CoRR, (2018)

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Dipl.-Ing. Karl Kübler

Approach for manufacturer independent automated machine tool control software testK. Kübler, A. Neyrinck, J. Schlechtendahl, A. Lechler, and A. Verl. Progress in production engineering; selected, peer reviewed papers from the 2015 WGP Congress, September 7 - 8, 2015, Hamburg, Germany, 794, page 347-354. Pfaffikon, Trans Tech Publ., (2015)

Dr. Norbert Röhrl University of Stuttgart

Philipp Karl University of Stuttgart

Kristian Karlovic

Prof. Dr. Christian Rohrer University of Stuttgart

Other publications of authors with the same name

Development and validation of a multi-step approach to improved detection of 3D point landmarks in tomographic images.S. Frantz, K. Rohr, and H. Stiehl. Image Vision Comput., 23 (11): 956-971 (2005)Modelling and identification of characteristic intensity variations.K. Rohr. Image Vision Comput., 10 (2): 66-76 (1992)A 3D intensity model based on spherical harmonics for automatic 3D segmentation of heterochromatin foci.S. Eck, K. Rohr, A. Biesdorf, K. Müller-Ott, K. Rippe, and S. Wörz. ISBI, page 1484-1487. (2013)Non-rigid Temporal Alignment of 2D and 3D Multi-channel Microscopy Image Sequences of Human Cells.I. Kim, S. Yang, P. Baccon, E. Heard, C. Kappel, R. Eils, and K. Rohr. Bildverarbeitung für die Medizin, page 16-20. Springer, (2007)Theoretical Limits of Localizing 3-D Landmarks and Features.K. Rohr. IEEE Trans. Biomed. Engineering, 54 (9): 1613-1620 (2007)Nonrigid Registration of 3-D Multichannel Microscopy Images of Cell Nuclei.S. Yang, D. Köhler, K. Teller, T. Cremer, P. Baccon, E. Heard, R. Eils, and K. Rohr. IEEE Trans. Image Processing, 17 (4): 493-499 (2008)Refined localization of three-dimensional anatomical point landmarks using multistep differential approaches.S. Frantz, K. Rohr, and H. Stiehl. Medical Imaging: Image Processing, volume 3338 of SPIE Proceedings, SPIE, (1998)3D Parametric Intensity Models for Accurate Segmentation and Quantification of Human Arteries.S. Wörz, and K. Rohr. Bildverarbeitung für die Medizin, volume 116 of CEUR Workshop Proceedings, page 85-89. CEUR-WS.org, (2004)Adaptive Model-Based Segmentation of Human Vessels from 3D MRA and CTA Data.S. Wörz, and K. Rohr. Bildverarbeitung für die Medizin, page 103-107. Springer, (2005)Ermittlung anatomischer Landmarken in tomographischen Bildern.T. Hartkens, K. Rohr, and H. Stiehl. Bildverarbeitung für die Medizin, volume 12 of CEUR Workshop Proceedings, Springer, (1998)