PuSH - Publication Server of Helmholtz Zentrum München

7 Records found.
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1.
Fortun, D.* ; Storath, M.* ; Rickert, D. ; Weinmann, A. & Unser, M.*: Fast piecewise-affine motion estimation without segmentation. IEEE Trans. Image Process. 27, 5612-5624 (2018)
2.
Klinger, E. ; Rickert, D. & Hasenauer, J.: pyABC: Distributed, likelihood-free inference. Bioinformatics 34, 3591-3593 (2018)
3.
Jagiella, N. ; Rickert, D. ; Theis, F.J. & Hasenauer, J.: Parallelization and high-performance computing enables automated statistical inference of multi-scale models. Cell Syst. 4, 194–206.e9 (2017)
4.
Storath, M.* ; Rickert, D. ; Unser, M.* & Weinmann, A.: Fast segmentation from blurred data in 3D fluorescence microscopy. IEEE Trans. Image Process. 26, 4856-4870 (2017)
5.
Rickert, D. ; Fricker, N. ; Lavrik, I.N.* & Theis, F.J.: Systematic complexity reduction of signaling models and application to a CD95 signaling model for apoptosis. In: Lavrik, I.N.* [Eds.]: Systems Biology of Apoptosis. New York: Springer, 2013. 57-84
6.
Rickert, D.: Parameter estimation in an NF-κB model. München, Ludwig-Maximilians-Universität & Technische Universität, Bioinformatik, Master-Thesis, 2012, 70 S.
7.
Rickert, D.: Empirical reduction of signaling networks. München, Ludwig-Maximilians-Universität & Technische Universität, Bioinformatik, Bachelor-Thesis, 2009, 67 S.