Recognition and Analysis of Spatio-Temporal Developmental Patterns
This project is part of the Bioinformatics Center Gatersleben-Halle (BIC-GH). It provides tools for analysis of the development of plant seeds. In particular, it develops image analysis and pattern recognition methods, allowing for the efficient 3-D reconstruction of plant seeds, the creation of spatio-temporal reference models, and the integration of experimental data.
Publikationen
2008
2007
2005
2008 |
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Vincent J. Dercksen, Cornelia Brüß, Detlev Stalling, Sabine Gubatz, Udo Seiffert, Hans-Christian Hege | Towards automatic generation of 3D models of biological objects based on serial sections | Visualization in Medicine and Life Sciences, Springer-Verlag Berlin Heidelberg, pp. 3-25, 2008 |
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BibTeX DOI |
Chavdar Papazov, Vincent J. Dercksen, Hans Lamecker, Hans-Christian Hege | Visualizing morphogenesis and growth by temporal interpolation of surface-based 3D atlases | Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging, pp. 824-827, 2008 |
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2007 |
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Sabine Gubatz, Vincent J. Dercksen, Cornelia Brüß, Winfriede Weschke, Ulrich Wobus | Analysis of barley (hordeum vulgare) grain development using three-dimensional digital models | The Plant Journal, 52(4), pp. 779-790, 2007 |
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2005 |
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Vincent J. Dercksen, Steffen Prohaska, Hans-Christian Hege | Fast cross-sectional display of large data sets | IAPR Conference on Machine Vision Applications, pp. 336-339, 2005 |
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