Publications

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2006
B. Michael Kelm, Müller, N., Menze, B. H., and Hamprecht, F. A., Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM, in Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis), 2006, pp. 96-103.PDF icon Technical Report (232.69 KB)
B. Michael Kelm, Müller, N., Menze, B. H., and Hamprecht, F. A., Bayesian Estimation of Smooth Parameter Maps for Dynamic Contrast-Enhanced MR Images with Block-ICM, in Proc Computer Vision and Pattern Recognition Workshop (Mathematical Methods in Biomedical Image Analysis), 2006, pp. 96-103.PDF icon Technical Report (232.69 KB)
B. Michael Kelm, Menze, B. H., Neff, T., Zechmann, C. M., and Hamprecht, F. A., CLARET: a tool for fully automated evaluation of MRSI with pattern recognition methods., in Bildverarbeitung für die Medizin 2006 - Algorithmen, Systeme, Anwendungen, 2006, pp. 51-55.PDF icon Technical Report (275.25 KB)
M. F. Carlsohn, Menze, B. H., Kelm, B. Michael, Hamprecht, F. A., Kercek, A., Leitner, R., and Polder, G., Color image processing, vol. 7(17), R. Lukac and Plataniotis, K. N., Eds. CRC Press, 2006, pp. 393-419.
B. Michael Kelm, Pal, C., and McCallum, A., Combining Generative and Discriminative Methods for Pixel Classification with Multi-Conditional Learning., in ICPR 2006, 2006, vol. 2, pp. 828-832.PDF icon Technical Report (114.99 KB)
C. Rother, Kolmogorov, V., Minka, T., and Blake, A., Cosegmentation of image pairs by histogram matching - Incorporating a global constraint into MRFs, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2006, vol. 1, pp. 994–1000.
B. H. Menze, Ur, J. A., and Sherratt, A. G., Detection of ancient settlement mounds - Archaeological survey based on the SRTM terrain model, Photgrammetric Engineering & Remote Sensing, vol. 3, pp. 321-327, 2006.PDF icon Technical Report (643.89 KB)
B. Ommer, Sauter, M., and M., B. J., Learning Top-Down Grouping of Compositional Hierarchies for Recognition, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Workshop on Perceptual Organization in Computer Vision, 2006, p. 194--194.PDF icon Technical Report (358.98 KB)
B. H. Menze, Kelm, B. Michael, Heck, D., Lichy, M. P., and Hamprecht, F. A., Machine-based rejection of low quality spectra and estimation of brain tumor probabilities from magnetic resonance spectroscopic images, in Bildverarbeitung für die Medizin, 2006, pp. 31-36.PDF icon Technical Report (672.84 KB)
B. H. Menze, Lichy, M. P., Bachert, P., Kelm, B. Michael, Schlemmer, H. P., and Hamprecht, F. A., Optimal Classification of Long Echo Time in vivo Magnetic Resonance Spectra in the Detection of Recurrent Brain Tumor, NMR in Biomedicine, vol. 19, pp. 599-609, 2006.PDF icon Technical Report (289.77 KB)
S. Sieg, Stutz, B., Schmidt, T., Hamprecht, F. A., and Maier, W. F., A QCAR-approach to materials modelling, Journal of Molecular Modeling, vol. 12, pp. 611-619, 2006.PDF icon Technical Report (343.11 KB)
2007
B. Michael Kelm, Menze, B. H., Zechmann, C. M., Baudendistel, K. T., and Hamprecht, F. A., Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification, Magnetic Resonance in Medicine, vol. 57, pp. 150-159, 2007.PDF icon Technical Report (348.05 KB)
B. H. Menze and Ur, J. A., Classification of multispectral ASTER imagery in the archaeological survey for settlement sites of the Near East, in Proc 10th International Symposium on Physical Measurements and Signature in Remote Sensing (ISPMRS 07), Davos, Switzerland, 2007.PDF icon Technical Report (920.71 KB)
B. Jähne, Complex Motion, Proceedings of the 1st Workshop, Günzburg, October 2004, vol. 3417. Springer, 2007.
J. Yuan, Schnörr, C., and Mémin, E., Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation, J.~Math.~Imag.~Vision, vol. 28, pp. 67-80, 2007.PDF icon Technical Report (752.44 KB)
B. H. Menze, Kelm, B. Michael, and Hamprecht, F. A., From eigenspots to fisherspots -- latent spaces in the nonlinear detection of spot patterns in a highly variable background, in Advances in data analysis, 2007, vol. 33, pp. 255-262.PDF icon Technical Report (248.87 KB)
B. H. Menze, Petrich, W., and Hamprecht, F. A., Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathy, Analytical and Bioanalytical Chemistry, vol. 387, pp. 1801-1807, 2007.PDF icon Technical Report (283.47 KB)
B. H. Menze, Pattern Recognition in the Quantitative Analysis of Vector-Valued Image Data: Diagnostic Systems and Applications. University of Heidelberg, 2007.
L. Görlitz, Menze, B. H., Weber, M. - A., and Kelm, B. Michael, Semi-Supervised Tumor Detection in MRSI With Discriminative Random Fields, in Pattern Recognition, 2007, vol. 4713, pp. 224-233.PDF icon Technical Report (872.46 KB)
B. H. Menze, Muehl, S., and Sherratt, A. G., Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing, in Broadening Horizons: Multidisciplinary Approaches to Landscape Study, 2007, pp. 5-29.PDF icon Technical Report (1.2 MB)
B. H. Menze, Muehl, S., and Sherratt, A. G., Virtual Survey on North Mesopotamian Tell Sites by Means of Satellite Remote Sensing, in Broadening Horizons: Multidisciplinary Approaches to Landscape Study, 2007, pp. 5-29.PDF icon Technical Report (1.2 MB)
2008
P. Vincent Gehler, Rother, C., Blake, A., Minka, T., and Sharp, T., Bayesian color constancy revisited, in 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 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.
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.PDF icon 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.PDF icon Technical Report (7.11 MB)

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