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The MEPUC concept adapts the c-arm fluoroscope to image-guided surgery.

N. Suhm, P. Müller, U. Bopp, S. Koller, P. Messmer, and P. Regazzoni. CARS, volume 1256 of International Congress Series, page 654-657. Elsevier, (2003)

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Elke Peter University of Stuttgart

Univ. -Prof. Dr. Rene Peters University of Stuttgart

Bernd Peters University of Stuttgart

Alexander Peter University of Stuttgart

Schmid. Peter

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Photo-Guided Exploration of Volume Data Features.M. Raji, A. Hota, R. Sisneros, P. Messmer, and J. Huang. EGPGV, page 31-39. Eurographics Association, (2017)Electromagnetic Simulations of Dusty Plasmas.P. Messmer. PARA, volume 3732 of Lecture Notes in Computer Science, page 583-589. Springer, (2004)Performance report and optimized implementation of Weather & Climate Dwarfs on GPU, MIC and Optalysys Optical Processor.C. Mazauric, E. Raffin, X. Vigouroux, D. Guibert, A. Macfaden, J. Poulsen, P. Berg, A. Gray, and P. Messmer. CoRR, (2019)Parallel data-locality aware stencil computations on modern micro-architectures.M. Christen, O. Schenk, E. Neufeld, P. Messmer, and H. Burkhart. IPDPS, page 1-10. IEEE, (2009)High-Performance Computing in Earth- and Space-Science: An Introduction.P. Messmer. PARA, volume 3732 of Lecture Notes in Computer Science, page 527-529. Springer, (2004)Par-T: A Parallel Relativistic Fully 3D Electromagnetic Particle-in-Cell Code.P. Messmer. PARA, volume 1947 of Lecture Notes in Computer Science, page 350-355. Springer, (2000)High Performance Molecular Visualization: In-Situ and Parallel Rendering with EGL.J. Stone, P. Messmer, R. Sisneros, and K. Schulten. IPDPS Workshops, page 1014-1023. IEEE Computer Society, (2016)Enabling simulation at the fifth rung of DFT: Large scale RPA calculations with excellent time to solution.M. Ben, O. Schütt, T. Wentz, P. Messmer, J. Hutter, and J. VandeVondele. Comput. Phys. Commun., (2015)Performance report and optimized implementations of Weather & Climate dwarfs on multi-node systems.L. Douriez, A. Gray, D. Guibert, P. Messmer, and E. Raffin. CoRR, (2019)High performance multivariate visual data exploration for extremely large data.O. Rübel, Prabhat, K. Wu, H. Childs, J. Meredith, C. Geddes, E. Cormier-Michel, S. Ahern, G. Weber, P. Messmer and 3 other author(s). SC, page 51. IEEE/ACM, (2008)