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“Aufbau eines Praktikumsversuch zum Gasaustauch zwischen Atmosphäre und Ozean”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2008.
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“A Comparison of Region Detectors for Tracking”, in
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J. A. J. Steen, Steen, H., Georgi, A., Parker, K. C., Springer, M., Kirchner, M., Hamprecht, F. A., and Kirschner, M. W.,
“Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis”,
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Technical Report (173.02 KB) J. F. Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O.,
“Inverse Problems and Parameter Identification in Image Processing”,
Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.
J. F. Acker, Berkels, B., Bredies, K., Diallo, M. S., Droske, M., Garbe, C. S., Holschneider, M., Hron, J., Kondermann, C., Kulesh, M., Maass, P., Olischläger, N., and Peitgen, H. - O.,
“Inverse Problems and Parameter Identification in Image Processing”,
Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, p. 111--151, 2008.
B. H. Menze, Kelm, B. Michael, Weber, M. - A., Bachert, P., and Hamprecht, F. A.,
“Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI”,
Magnetic Resonance in Medicine, vol. 59, pp. 1457-1466, 2008.
Technical Report (1.45 MB) C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schuchert, T., Scharr, H., Aach, T., and Barth, E.,
“Nonlinear Analysis of Multi-Dimensional Signals”,
Mathematical Methods in Signal Processing and Digital Image Analysis. Springer, pp. 231-288, 2008.
Technical Report (7.11 MB) C. S. Garbe, Krajsek, K., Pavlov, P., Andres, B., Mühlich, M., Stuke, I., Mota, C., Böhme, M., Haker, M., Schucher, T., Scharr, H., Aach, T., and Barth, E.,
“Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns”,
Mathematical Methods in Time Series Analysis and Digital Image Processing. Springer, pp. 231-288, 2008.
B. Andres, Köthe, U., Helmstaedter, M., Denk, W., and Hamprecht, F. A.,
“Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification”, in
Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings, 2008, vol. 5096, pp. 142-152.
Technical Report (1.21 MB) B. Andres, Köthe, U., Helmstaedter, M., Denk, W., and Hamprecht, F. A.,
“Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification”, in
Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings, 2008, vol. 5096, pp. 142-152.
Technical Report (1.21 MB)