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unilogo Universität Stuttgart
Fakultät 8: Fachbereich Mathematik
Lehrstuhl für Analysis und Mathematische Physik

Dr. Norbert Röhrl

List of Publications:

Röhrl, N., Waldi, R.: A determinantal criterion for positive sign-solvability. Comm. Algebra 26 (1998), no. 7, 2361--2369.
Röhrl, N.: Binomial Regular Sequences and S-Matrices. Diploma thesis, 1998. ps.bz2, pdf
Hundertmark, D., Röhrl, N., Siedentop, H.: The Sharp Bound on the Stability of the Relativistic Electron-Positron Field in Hartree-Fock Approximation. Comm. Math. Phys. 211 (2000), no. 3, 629--642
Röhrl, N.: Stabilität und Instabilität des relativistischen Elektronen-Positronen-Felds in Hartree-Fock-Näherung. Dr. rer. nat. Thesis. Hieronymus Verlag München, 2000, ISBN 3-89791-170-1. ps.bz2, pdf
Brummelhuis, R., Röhrl, N., Siedentop, H.: Stability of the relativistic Electron-Positron Field of Atoms in Hartree-Fock Approximation: Heavy Elements. Documenta Mathematica 6 (2001), 1--8
N. Röhrl: A least-squares functional for solving inverse Sturm-Liouville problems.
Inverse Problems, 21(6):2009-2017, 2005. arxiv: math.NA/0502407, ps.bz2, pdf
N. Röhrl: Recovering boundary conditions in inverse Sturm-Liouville problems.
In Recent Advances in Differential Equations and Mathematical Phyiscs, volume 412 of Contemporary Mathematics, pages 263-270, 2006. arxiv: math.NA/0601031, ps.bz2, pdf
N. Röhrl, J. Iglesias-Rozas, and G. Weidl: A Modern Reproducible Method for the Histologic Grading of Astrocytomas with Statistical Classification Tools
Analytical and Quantitative Cytology and Histology, 30:33-38, 2008.
G. Weidl, J. Iglesias-Rozas, and N. Röhrl: Causal probabilistic modeling for malignancy grading in pathology with explanations of dependency to the related histological features.
Histology and Histopathology, 22(9), 947--962, 2007.
N. Röhrl, J. Iglesias-Rozas, and G. Weidl: Computer assisted classification of brain tumors.
In Data Analysis, Machine Learning and Applications. Proceedings of the 31st Annual Conference of the Gesellschaft für Klassifikation e.V.
Studies in Classification, Data Analysis, and Knowledge Organization, pages 55-60. Springer, 2008.