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2006
M. P. Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., “Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren”, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.
M. P. Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., “Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren”, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.
U. Schimpf, Frew, N. M., Jähne, B., and Hühnerfuss, H., “Infrared imaging: a novel tool to investigate the influence of surface slicks on air-sea gas transfer”, Marine Surface Films: Chemical Characteristics, Influence on Air-Sea Interactions, and Remote Sensing. Springer, p. 239--252, 2006.
M. Bergtholdt, Kappes, J. H., and Schnörr, C., “Learning of Graphical Models and Efficient Inference for Object Class Recognition”, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.
M. Heiler and Schnörr, C., “Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming”, J. Mach. Learning Res., vol. 7, pp. 1385–1407, 2006.
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)
K. Roetmann, Garbe, C. S., Schmunk, W., and Beushausen, V., “Micro-flow analysis by molecular tagging velocimetry and planar Raman-scattering”, in Proc.\ of 12th International Symposium on Flow Visualization, 2006.
A. Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., “A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods”, Int.~J.~Computer Vision, vol. 70, pp. 257-277, 2006.PDF icon Technical Report (447.65 KB)
A. Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., “A Multigrid Platform for Real-Time Motion Computation with Discontinuity-Preserving Variational Methods”, Int. J. Computer Vision, vol. 70, pp. 257-277, 2006.
D. Cremers, Sochen, N., and Schnörr, C., “Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation”, ijcv, vol. 66, pp. 67-81, 2006.
D. Cremers, Sochen, N., and Schnörr, C., “Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation”, ijcv, vol. 66, pp. 67-81, 2006.
P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc.~DAGM 2006, 2006, vol. 375-388, pp. 375-388.PDF icon Technical Report (902.47 KB)
P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc.~DAGM 2006, 2006, vol. 375-388, pp. 375-388.PDF icon Technical Report (902.47 KB)
P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.
P. Ruhnau, Stahl, A., and Schnörr, C., “On-Line Variational Estimation of Dynamical Fluid Flows with Physics-Based Spatio-Temporal Regularization”, in Proc. DAGM 2006, 2006, vol. 375-388, pp. 375-388.
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)
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)
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)
J. Schmähling, “Statistical characterization of technical surface microstructure”. University of Heidelberg, 2006.
J. Shotton, Winn, J., Rother, C., and Criminisi, A., “TextonBoost: Joint appearance, shape and context modeling for multi-class object recognition and segmentation”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2006, vol. 3951 LNCS, pp. 1–15.
J. Schmähling, Hamprecht, F. A., and Hoffmann, D. M. P., “A three-dimensional measure of surface roughness based on mathematical morphology”, International Journal of Machine Tools and Manufacture, vol. 46 (14), pp. 1764-1769, 2006.PDF icon Technical Report (524.97 KB)
D. S. Kirk, Sellen, A. J., Rother, C., and Wood, K. R., “Understanding photowork”, in Conference on Human Factors in Computing Systems - Proceedings, 2006, vol. 2, pp. 761–770.
2005
T. Schüle, Weber, S., and Schnörr, C., “Adaptive Reconstruction of Discrete-Valued Objects from few Projections”, Electr. Notes in Discr. Math., vol. 20, pp. 365-384, 2005.
T. Schüle, Weber, S., and Schnörr, C., “Adaptive Reconstruction of Discrete-Valued Objects from few Projections”, Electr. Notes in Discr. Math., vol. 20, pp. 365-384, 2005.
B. Jähne, Nielsen, R., Popp, C., Schimpf, U., and Garbe, C. S., “Air-Sea Gas Transfer; Schmidt Number dependency and intermittency”, in Presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
S. Weber, Schnörr, C., Schüle, T., and Hornegger, J., “Binary Tomography by Iterating Linear Programs”, Geometric Properties from Incomplete Data. Springer, 2005.
S. Weber, Schnörr, C., Schüle, T., and Hornegger, J., “Binary Tomography by Iterating Linear Programs”, Geometric Properties from Incomplete Data. Springer, 2005.
B. Jähne, Schmidt, M., and Rocholz, R., “Combined optical slope/height measurements of short wind waves: principles and calibration”, Meas. Sci. Technol., vol. 16, p. 1937--1944, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “Combined SVM-based Feature Selection and Classification”, Machine Learning, vol. 61, pp. 129-150, 2005.
J. Neumann, Schnörr, C., and Steidl, G., “Combined SVM-based Feature Selection and Classification”, Machine Learning, vol. 61, pp. 129-150, 2005.
L. Görlitz, Hamprecht, F. A., and Staudacher, M., “Detektion von Partikeln in Intensitätsbildern mit Hilfe eines morphologischen Skalenraumes”. Robert-Bosch GmbH, University of Heidelberg, 2005.
T. S. Schwarz, “Development of a depth resolving boundary layer visualiziation für gas exchange at free water surfaces”, University of Heidelberg, 2005.
A. Bruhn, Weickert, J., Kohlberger, T., and Schnörr, C., “Discontinuity-Preserving Computation of Variational Optic Flow in Real-Time”, in Scale-Space 2005, 2005, vol. 3459, pp. 279–290.
J. Yuan, Ruhnau, P., Mémin, E., and Schnörr, C., “Discrete Orthogonal Decomposition and Variational Fluid Flow Estimation”, in Scale-Space 2005, 2005, vol. 3459, pp. 267–278.

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