Publications

Parvaneh Joharinad, und Jürgen Jost. Mathematical principles of topological and geometric data analysis. Springer International Publishing, Cham, 2023. [PUMA: Mathematical analysis data geometric nopdf topological]

Maksim Kukushkin, Martin Bogdan, und Thomas Schmid. On optimizing morphological neural networks for hyperspectral image classification. In Wolfgang Osten (Hrsg.), Sixteenth International Conference on Machine Vision (ICMV 2023), (13072):1307202, SPIE, 2024. [PUMA: classification computer deep hyperspectral image learning mathematical morphological morphology networks neuronal nopdf remote sensing vision] URL

David Schaller, Marc Hellmuth, und Peter F Stadler. A simpler linear-time algorithm for the common refinement of rooted phylogenetic trees on a common leaf set. Algorithms Mol. Biol., (16)1:23, Springer Science and Business Media LLC, Dezember 2021. [PUMA: Compatibility Mathematical Rooted of phylogenetics; rooted trees trees;]

Katja Hoffmann, Katja Cazemier, Christoph Baldow, Silvio Schuster, Yuri Kheifetz, Sibylle Schirm, Matthias Horn, Thomas Ernst, Constanze Volgmann, Christian Thiede, Andreas Hochhaus, Martin Bornhäuser, Meinolf Suttorp, Markus Scholz, Ingmar Glauche, Markus Loeffler, und Ingo Roeder. Integration of mathematical model predictions into routine workflows to support clinical decision making in haematology. BMC Med. Inform. Decis. Mak., (20)1:28, Februar 2020. [PUMA: Clinical Computer Data Haematology; Individual Mathematical Model-based Routine Support decision-making; management; modelling; optimization; planning; simulation; system therapy treatment workflow;]