Publications

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S. Hader and Hamprecht, F. A., Two-Stage Classification with Automatic Feature Selection for an Industrial Application, Classification, the ubiquitous challenge: Proceedings of GfKl 2004. Springer, pp. 137-144, 2004.PDF icon Technical Report (518.16 KB)
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M. Haußmann, Hamprecht, F. A., and Kandemir, M., Variational Bayesian Multiple Instance Learning with Gaussian Processes, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). pp. 6570-6579, 2017.PDF icon Technical Report (1.29 MB)
M. Kandemir, Haußmann, M., Diego, F., Rajamani, K., van der Laak, J., and Hamprecht, F. A., Variational weakly-supervised Gaussian processes, BMVC. Proceedings. 2016.PDF icon Technical Report (3.28 MB)
J. Kleesiek, Petersen, J., Döring, M., Maier-Hein, K., Köthe, U., Wick, W., Hamprecht, F. A., Bendszus, M., and Biller, A., Virtual Raters for Reproducible and Objective Assessments in Radiology, Nature Scientific Reports, vol. 6, 2016.PDF icon Technical Report (2.81 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.
F. A. Hamprecht and Jähne, B., Vom Bild zur Information, Ruperto Carola -- Forschungsmagazin der Universität Heidelberg, vol. 03.2004, pp. 9-12, 2004.
F. A. Hamprecht and Jähne, B., Vom Bild zur Information. 2004.

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