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digeR: a graphical user interface R package for analyzing 2D-DIGE data.

Y. Fan, T. Murphy, und R. Watson. Bioinformatics, 25 (22): 3033-3034 (2009)

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Dipl.-Ing. Thomas Kuestner

Scan time reduction in DWI of the pancreas using simultaneous multislice technique with different acceleration factors: how fast can we go?J. Taron, P. Martirosian, T. Küstner, M. Notohamiprodjo, J. Weiß, A. Othman, K. Nikolaou, und C. Schraml. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Scan time reduction in DWI of the pancreas using simultaneous multislice technique with different acceleration factors: how fast can we go?J. Taron, P. Martirosian, T. Küstner, M. Notohamiprodjo, J. Weiß, A. Othman, K. Nikolaou, und C. Schraml. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)The use of a generalized reconstruction by inversion of coupled systems (GRICS) approach for generic respiratory motion correction in PET/MR imagingH. Fayad, F. Odille, H. Schmidt, C. Würslin, T. Küstner, J. Felblinger, und D. Visvikis. Physics in medicine and biology, 60 (6): 2529-46 (März 2015)In-vivo MR-derived non-rigid motion correction of simultaneously acquired PETT. Küstner, C. Würslin, S. Gatidis, P. Martirosian, N. Schwenzer, B. Yang, und H. Schmidt. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Canada, (Juni 2015)

Univ. -Prof. Dr. Thomas Graf University of Stuttgart

Efficient delivery of sub-ps laser pulses with pulse energies exceeding 100 µJ at average powers of up to 95 W through a hollow-core fiberT. Kühlthau, B. Chen, T. Graf, und M. Abdou Ahmed. Applied Physics B, 131 (9): 177 (25.08.2025)

Ph. D. Thomas Günther University of Stuttgart

Thomas Bauernhansel

Thomas Münzing

Weitere Publikationen von Autoren mit dem selben Namen

digeR: a graphical user interface R package for analyzing 2D-DIGE data.Y. Fan, T. Murphy, und R. Watson. Bioinformatics, 25 (22): 3033-3034 (2009)Clustering with the multivariate normal inverse Gaussian distribution.A. O'Hagan, T. Murphy, I. Gormley, P. McNicholas, und D. Karlis. Computational Statistics & Data Analysis, (2016)Parsimonious Gaussian mixture models.P. McNicholas, und T. Murphy. Statistics and Computing, 18 (3): 285-296 (2008)Variational Bayesian inference for the Latent Position Cluster Model for network data.M. Salter-Townshend, und T. Murphy. Computational Statistics & Data Analysis, 57 (1): 661-671 (2013)Bayesian variable selection for latent class analysis using a collapsed Gibbs sampler.A. White, J. Wyse, und T. Murphy. Statistics and Computing, 26 (1-2): 511-527 (2016)Greedy feature selection for glycan chromatography data with the generalized Dirichlet distribution.M. Galligan, R. Saldova, M. Campbell, P. Rudd, und T. Murphy. BMC Bioinformatics, (2013)Exponential family mixed membership models for soft clustering of multivariate data.A. White, und T. Murphy. Adv. Data Analysis and Classification, 10 (4): 521-540 (2016)Serial and parallel implementations of model-based clustering via parsimonious Gaussian mixture models.P. McNicholas, T. Murphy, A. McDaid, und D. Frost. Computational Statistics & Data Analysis, 54 (3): 711-723 (2010)Sentiment Analysis of Online Media.M. Salter-Townshend, und T. Murphy. Algorithms from and for Nature and Life, Springer, (2013)Statistical thinking and practice.T. Murphy. Statistical Analysis and Data Mining, 9 (6): 387 (2016)