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FPGA-accelerated Richardson-Lucy deconvolution for 3D image data.

M. Bromberger, P. Bastian, J. Bergeest, C. Conrad, V. Heuveline, K. Rohr, and W. Karl. ISBI, page 132-135. IEEE, (2016)

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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

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GRUU-Net: Integrated convolutional and gated recurrent neural network for cell segmentation.T. Wollmann, M. Gunkel, I. Chung, H. Erfle, K. Rippe, and K. Rohr. Medical Image Analysis, (2019)Segmentation and quantification of the aortic arch using joint 3D model-based segmentation and elastic image registration.A. Biesdorf, K. Rohr, D. Feng, H. von Tengg-Kobligk, F. Rengier, D. Böckler, H. Kauczor, and S. Wörz. Medical Image Analysis, 16 (6): 1187-1201 (2012)Coupling of fluid and elastic models for biomechanical simulations of brain deformations using FEM.A. Hagemann, K. Rohr, and H. Stiehl. Medical Image Analysis, 6 (4): 375-388 (2002)A spherical harmonics intensity model for 3D segmentation and 3D shape analysis of heterochromatin foci.S. Eck, S. Wörz, K. Müller-Ott, M. Hahn, A. Biesdorf, G. Schotta, K. Rippe, and K. Rohr. Medical Image Analysis, (2016)Direct combination of multi-scale detection and multi-frame association for tracking of virus particles in microscopy image data.A. Jaiswal, W. Godinez, M. Lehmann, and K. Rohr. ISBI, page 976-979. IEEE, (2016)Framework for quantitative evaluation of 3D vessel segmentation approaches using vascular phantoms in conjunction with 3D landmark localization and registration.S. Wörz, P. Hoegen, W. Liao, M. Müller-Eschner, H. Kauczor, H. von Tengg-Kobligk, and K. Rohr. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 978419. SPIE, (2016)3D geometric analysis of the aorta in 3D MRA follow-up pediatric image data.S. Wörz, A. Alrajab, R. Arnold, J. Eichhorn, H. von Tengg-Kobligk, J. Schenk, and K. Rohr. Medical Imaging: Image Processing, volume 9034 of SPIE Proceedings, page 90340K. SPIE, (2014)Auf dem Wege zu modellgestütztem Erkennen von bewegten nicht-starren Körpern in Realweltbildfolgen.K. Rohr. DAGM-Symposium, volume 219 of Informatik-Fachberichte, page 324-328. Springer, (1989)New Approximating Gaussian Elastic Body Splines for Landmark-Based Registration of Medical Images.S. Wörz, and K. Rohr. Bildverarbeitung für die Medizin, page 206-210. Springer, (2006)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)