Publications

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Conference Paper
C. Zhang, Yarkony, J., and Hamprecht, F. A., Cell detection and segmentation using correlation clustering, in MICCAI. Proceedings, 2014, pp. 9-16.PDF icon Technical Report (8.06 MB)
C. N. Straehle, Köthe, U., Knott, G. W., and Hamprecht, F. A., Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images, in MICCAI 2011, Proceedings., 2011, vol. 6891, pp. 653-660.PDF icon Technical Report (1.69 MB)
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)
M. Hissmann and Hamprecht, F. A., Bayessche Schätzung von Höhenkarten aus der Wei\DF licht-Interferometrie, in Oberflächenmesstechnik 2003, 2003, p. 187--196.
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., 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)
A. Kreshuk, Straehle, C. N., Sommer, C., Köthe, U., Knott, G. W., and Hamprecht, F. A., Automated Segmentation of Synapses in 3D EM Data, in Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011). Proceedings, 2011, pp. 220-223.
B. F. Tek, Kröger, T., Mikula, S., and Hamprecht, F. A., Automated Cell Nucleus Detection for Large-Volume Electron Microscopy of Neural Tissue, in ISBI. Proceedings, 2014, pp. 69-72.PDF icon Technical Report (533.92 KB)
T. Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Asymmetric Cuts: Joint Image Labeling and Partitioning, in Pattern Recognition - 36th German Conference, {GCPR} 2014, Münster, Germany, September 2-5, 2014, Proceedings, 2014.PDF icon Technical Report (3.46 MB)
T. Kröger, Kappes, J. H., Beier, T., Köthe, U., and Hamprecht, F. A., Asymmetric Cuts: Joint Image Labeling and Partitioning, in 36th German Conference on Pattern Recognition, 2014.
C. Kondermann, Kondermann, D., Jähne, B., Garbe, C. S., Schnörr, C., and Jähne, B., An adaptive confidence measure for optical flows based on linear subspace projections, in Proceedings of the 29th DAGM Symposium on Pattern Recognition, 2007, vol. 4713, p. 132--141.

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