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)
C. M. Zechmann, Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Röll, S., Delorme, S., Hamprecht, F. A., and Bachert, P., Can man still beat the machine? Automated vs. manual pattern recognition of 3D MRSI data of prostate cancer patients, in Proceedings of the 16th ISMRM, 2006.PDF icon Technical Report (664.38 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)
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.
M. Heiler and Schnörr, C., Controlling Sparseness in Non-negative Tensor Factorization, in Computer Vision -- ECCV 2006, 2006, vol. 3951, pp. 56-67.PDF icon Technical Report (568.86 KB)
S. Hader, Data Mining auf multidimensionalen und komplexen Daten in der industriellen Bildverarbeitung. University of Heidelberg, 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. 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. 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, 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, 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)
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)
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)
A. Falkenroth, Herzog, A. G., and Jähne, B., Visualization of air-water gas exchange using novel fluorescent dyes, in 12th Intern. Symp. on Flow Visualization, Göttingen, 10--14. September 2006, 2006.
2005
T. König, Hamprecht, F. A., and Kücherer, H., On the Application of Multiscale Motion Estimation in Intravascular Elastography, University of Heidelberg, 2005.
B. Michael Kelm, Menze, B. H., and Hamprecht, F. A., Automatische Lokalisation von Tumoren in 1H-NMR-spektroskopischen in vivo Aufnahmen, in VDI-Berichte, 2005, vol. 1883, pp. 457-466.PDF icon Technical Report (221.54 KB)
M. Jäger, Knoll, C., and Hamprecht, F. A., Automatisierte Klassifikation von Laserschwei\DFprozessen durch Nutzung von 3D Signalverarbeitungs-Algorithmen. Robert Bosch GmbH, Schwieberdingen and IWR, Uni Heidelberg, 2005.
M. Hissmann, Bayesian Estimation for White Light Interferometry. University of Heidelberg, 2005.
M. Hissmann and Hamprecht, F. A., Bayesian surface estimation for white light interferometry, Optical Engineering, vol. 44, pp. 1-9, 2005.PDF icon Technical Report (549.46 KB)
M. Hissmann and Hamprecht, F. A., Bayesian surface estimation for white light interferometry, Optical Engineering, vol. 44, pp. 1-9, 2005.PDF icon Technical Report (549.46 KB)
S. Weber, Schnörr, C., Schüle, T., and Hornegger, J., Binary Tomography by Iterating Linear Programs, Geometric Properties from Incomplete Data. Springer, 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. Schüle, Schnörr, C., Weber, S., and Hornegger, J., Discrete Tomography By Convex-Concave Regularization and D.C. Programming, Discr. Appl. Math., vol. 151, pp. 229-243, 2005.
T. Hara, Wendelbo, J., Garbe, C. S., Schimpf, U., and Frew, N. M., Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements, in Presented at: International Liège Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
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, M. Gade and Korenowski, G. M., Eds. Springer, 2005, pp. 239-252.
M. Heiler and Schnörr, C., Learning Sparse Image Codes by Convex Programming, in Proc. Tenth IEEE Int. Conf. Computer Vision (ICCV'05), Beijing, China, 2005, pp. 1667-1674.
M. Heiler and Schnörr, C., Natural Image Statistics for Natural Image Segmentation, Int. J. Comp. Vision, vol. 63, pp. 5–19, 2005.

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