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2011
K. He, Rhemann, C., Rother, C., Tang, X., and Sun, J., A global sampling method for alpha matting, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2011, pp. 2049–2056.
F. Friedl, Herzog, A. G., Warken, P., and Jähne, B., Hochauflösende raumzeitliche Messung von flüssigkeitsseitigen Konzentrationsfeldern an der wind- und wellenbewegten Wasseroberfläche, in DPG Frühjahrstagung Dresden, 2011.
C. Sommer, Straehle, C. N., Köthe, U., and Hamprecht, F. A., ilastik: Interactive Learning and Segmentation Toolkit, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings, 2011, pp. 230-233.
M. Frank and Hamprecht, F. A., Image-Based Supervision of a Periodically Working Machine, Pattern Analysis and Applications, pp. 1-10, 2011.PDF icon Technical Report (466.61 KB)
F. O. Kaster, Merkel, B., Nix, O., and Hamprecht, F. A., An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements, Computer Science - Research and Development, vol. 26, pp. 65-85, 2011.PDF icon Technical Report (808.16 KB)
B. H. Menze, Kelm, B. Michael, Splitthoff, N., Köthe, U., and Hamprecht, F. A., On oblique random forests, in European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases 2011. Proceedings., 2011, pp. 453-469.PDF icon Technical Report (665.33 KB)
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in Proceedings of ICCV, 2011.
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in Proceedings of ICCV, 2011.PDF icon Technical Report (2.95 MB)
B. Andres, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Probabilistic Image Segmentation with Closedness Constraints, in ICCV, Proceedings, 2011, pp. 2611 - 2618.PDF icon Technical Report (8.18 MB)
M. Hanselmann, Voss, B., Renard, B. Y., Lindner, M., Köthe, U., Kirchner, M., and Hamprecht, F. A., SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists, Bioinformatics, vol. 27 (7), pp. 987-993, 2011.PDF icon Technical Report (2.2 MB)
M. Hanselmann, Voss, B., Renard, B. Y., Lindner, M., Köthe, U., Kirchner, M., and Hamprecht, F. A., SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists, Bioinformatics, vol. 27 (7), pp. 987-993, 2011.PDF icon Technical Report (2.2 MB)
X. Lou and Hamprecht, F. A., Structured Learning for Cell Tracking, in NIPS 2011. Proceedings, 2011, pp. 1296-1304.PDF icon Technical Report (1.41 MB)
L. Maier-Hein, Franz, A. M., Fangerau, M., Schmidt, M., Seitel, A., Mersmann, S., Kilgus, T., Groch, A., Yung, K., Santos, T. R. dos, and Meinzer, H. - P., Towards mobile augmented reality for on-patient visualization of medical images, in Bildverarbeitung für die Medizin (2011), 2011, p. 389--393.
B. Michael Kelm, Kaster, F. O., Henning, A., Weber, M. - A., Bachert, P., Bösinger, P., Hamprecht, F. A., and Menze, B. H., Using Spatial Prior Knowledge in the Spectral Fitting of Magnetic Resonance Spectroscopic Images, NMR in Biomedicine, vol. 25(1), pp. 1-13, 2011.PDF icon Technical Report (1.94 MB)
B. Michael Kelm, Kaster, F. O., Henning, A., Weber, M. - A., Bachert, P., Bösinger, P., Hamprecht, F. A., and Menze, B. H., Using Spatial Prior Knowledge in the Spectral Fitting of Magnetic Resonance Spectroscopic Images, NMR in Biomedicine, vol. 25(1), pp. 1-13, 2011.PDF icon Technical Report (1.94 MB)
M. Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R., Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy, Nano Letters, vol. 11, pp. 3099-3107, 2011.
M. Pfannmöller, Flügge, H., Benner, G., Wacker, I., Sommer, C., Hanselmann, M., Schmale, S., Schmidt, H., Hamprecht, F. A., Rabe, T., Kowalsky, W., and Schröder, R., Visualizing a homogeneous blend in bulk heterojunction polymer solar cells by analytical electron microscopy, Nano Letters, vol. 11, pp. 3099-3107, 2011.
2010
F. Haug and Jähne, B., 6 DoF appearance-based object localization with local covariant features, in Forum Bildverarbeitung, 2010, p. 13--24.
F. Haug and Jähne, B., 6 DoF appearance-based object localization with local covariant features, in Forum Bildverarbeitung, 2010, p. 13--24.
N. Hüsken, Active and Online Learning for Interactive Image Analysis, University of Heidelberg, 2010.
F. Haug, Ansichtsbasierte 6 DoF Objekterkennung mit lokalen kovarianten Regionen, vol. Dissertation. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2010.
A. Kreshuk, Stankiewicz, M., Lou, X., Kirchner, M., Hamprecht, F. A., and Mayer, M. P., Automated detection and analysis of bimodal isotope peak distribution in H/D exchange mass spectrometry using HeXicon, International Journal of Mass Spectrometry, vol. 302, pp. 125-131, 2010.PDF icon Technical Report (3.22 MB)
T. Hörnlein, Boosted Feature Generation for Classification Problems Involving High Numbers of Inputs and Classes, vol. Dissertation. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2010.
M. Hanselmann, Computational Methods for the Analysis of Mass Spectrometry Images. University of Heidelberg, 2010.
M. Kirchner, Renard, B. Y., Köthe, U., Pappin, D. J., Hamprecht, F. A., Steen, J. A. J., and Steen, H., Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments, Bioinformatics, vol. 26 (1), pp. 77-83, 2010.PDF icon Technical Report (380.19 KB)
X. Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments, Bioinformatics, vol. 26(12), pp. 1535-1541, 2010.PDF icon Technical Report (518.01 KB)
B. Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010, pp. 353-362.
B. Andres, Kappes, J. H., Köthe, U., Schnörr, C., and Hamprecht, F. A., An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM, in Pattern Recognition, Proc.~32th DAGM Symposium, 2010.PDF icon Technical Report (218.43 KB)
B. Y. Renard, Timm, W., Kirchner, M., Steen, J. A. J., Hamprecht, F. A., and Steen, H., Estimating the Confidence of Peptide Identifications without Decoy Databases, Analytical Chemistry, pp. 4314-4318, 2010.PDF icon Technical Report (619.11 KB)
A. G. Herzog, Binder, T., Friedl, F., and Jähne, B., Estimating water-sided vertical gas concentration profiles by inverse modeling, in 2nd Int. Conf. Eng. Optimization, Lisbon, 6--9. Sep. 2010, 2010.
K. Börner, Hermle, J., Sommer, C., Brown, N. P., Knapp, B., Glass, B., Torralba, G., Reymann, J., Beil, N., Beneke, J., Pepperkok, R., Schneider, R., and Ludwig, T., From experimental setup to bioinformatics: An RNAi screening platform to identify host factors involved in HIV-1 replication, Biotechnology Journal, vol. 5, pp. 39-49, 2010.PDF icon Technical Report (556.09 KB)
U. Köthe, Andres, B., Kröger, T., and Hamprecht, F. A., Geometric Analysis of 3D Electron Microscopy Data, in Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), 2010, pp. 22-26.PDF icon Technical Report (1.43 MB)
B. Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., How to Extract the Geometry and Topology from Very Large 3D Segmentations, ArXiv e-prints, 2010.PDF icon Technical Report (1.44 MB)
A. G. Herzog, Imaging of Water-sided Gas-Concentration Fields at a Wind-Driven, Wavy Air-Water Interface, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2010.
B. Andres, Kappes, J. H., Köthe, U., and Hamprecht, F. A., The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search, ArXiv e-prints, 2010.PDF icon Technical Report (625.06 KB)

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