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2009

N. Ozlu, Monigatti, F., Renard, B. Y., Field, C. M., Steen, H., Mitchison, T. J., and Steen, J. J., “Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition”, Molecular & Cellular Proteomics, 2009.

N. Ozlu, Monigatti, F., Renard, B. Y., Field, C. M., Steen, H., Mitchison, T. J., and Steen, J. J., “Binding partner switching on microtubules and aurora-B in the mitosis to cytokinesis transition”, Molecular & Cellular Proteomics, 2009.

B. H. Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., “A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data”, BMC Bioinformatics, vol. 10:213, 2009.

Technical Report (675 KB)

B. H. Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., “A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data”, BMC Bioinformatics, vol. 10:213, 2009.

Technical Report (675 KB)

J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., Schnörr, C., Mórken, K., and Lysaker, M., “Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

J. Lellmann, Kappes, J. H., Yuan, J., Becker, F., and Schnörr, C., “Convex Multi-Class Image Labeling by Simplex-Constrained Total Variation”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 150-162.

Technical Report (1.75 MB)

B. Michael Kelm, Menze, B. H., Nix, O., Zechmann, C. M., and Hamprecht, F. A., “Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge”, IEEE Transaction on Medical Imaging, vol. 28:10, pp. 1534-1547, 2009.

Technical Report (419.8 KB)

B. Ommer and Malik, J., “Multi-scale Object Detection by Clustering Lines”, in Proceedings of the IEEE International Conference on Computer Vision, 2009, p. 484--491.

Technical Report (3.18 MB)

K. Mbock, “A Novel Algorithm for Motion Estimation with Explicit Consideration of Perturbations”, University of Heidelberg, 2009.

W. Mischler, Rocholz, R., and Jähne, B., “Optical method for measuring size-distribution and lifetime of bubbles”, in Poster abstracts SOLAS Open Science Conference, Barcelona, 16--19 Sep. 2009, 2009.

H. Meine, Köthe, U., and Stelldinger, P., “Pixel Approximation Errors in Common Watershed Algorithms”, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.

Technical Report (6.5 MB)

H. Meine, Köthe, U., and Stelldinger, P., “Pixel Approximation Errors in Common Watershed Algorithms”, in Discrete Geometry for Computer Imagery, 2009, vol. 5810, pp. 193-202.

L. Görlitz, Menze, B. H., Kelm, B. Michael, and Hamprecht, F. A., “Processing Spectral Data”, Surface and Interface Analysis, vol. 41, pp. 636-644, 2009.

Technical Report (4.17 MB)

B. Ommer, Mader, T., and Buhmann, J. M., “Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera”, International Journal of Computer Vision, vol. 83, p. 57--71, 2009.

Technical Report (9.61 MB)

J. Yuan, Schnörr, C., and Steidl, G., “Total-Variation Based Piecewise Affine Regularization”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.

Technical Report (478.04 KB)

J. Yuan, Schnörr, C., and Steidl, G., “Total-Variation Based Piecewise Affine Regularization”, in Scale Space and Variational Methods in Computer Vision (SSVM 2009), 2009, vol. 5567, pp. 552-564.

P. Yarlagadda, Monroy, A., Carque, B., and Ommer, B., “Towards a Computer-based Understanding of Medieval Images”, in Scientific Computing & Cultural Heritage, 2009, p. 89--97.

B. Y. Renard, Kirchner, M., Monigatti, F., Ivanov, A. R., Rappsilber, J., Winter, D., Steen, J. A. J., Hamprecht, F. A., and Steen, H., “When Less Can Yield More - Computational Preprocessing of MS/MS Spectra for Peptide Identification Preprocessing”, Proteomics, vol. 9, pp. 4978-4984, 2009.

Technical Report (901.78 KB)

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.

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., 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., 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.

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.

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.

S. Munder, Schnörr, C., and Gavrila, D. M., “Pedestrian Detection and Tracking Using a Mixture of View-Based Shape-Texture Models”, IEEE Trans. Intell. Transp. Systems, vol. 9, pp. 333-343, 2008.

T. König, Menze, B. H., Kirchner, M., Monigatti, F., Parker, K. C., Patterson, T., Steen, J. J., Hamprecht, F. A., and Steen, H., “Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics”, Journal of Proteome Research, vol. 7, pp. 3708-3717, 2008.

Technical Report (1.16 MB)

T. König, Menze, B. H., Kirchner, M., Monigatti, F., Parker, K. C., Patterson, T., Steen, J. J., Hamprecht, F. A., and Steen, H., “Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics”, Journal of Proteome Research, vol. 7, pp. 3708-3717, 2008.

Technical Report (1.16 MB)

C. Kondermann, Mester, R., and Garbe, C. S., “A statistical confidence measure for optical flows”, in Proceedings of the ECCV, 2008, vol. 5304, p. 290--301.

H. Meine, Köthe, U., and Stelldinger, P., “A Topological Sampling Theorem for Robust Boundary Reconstruction and Image Segmentation”, Discrete Applied Mathematics, vol. 157, pp. 524-541, 2008.

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.

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.

Technical Report (920.71 KB)

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