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S. Hader and Hamprecht, F. A.,
“Efficient Density Clustering”,
Between Data Science and Applied Data Analysis. Springer, pp. 39-48, 2003.
A. Haja, Abraham, S., and Jähne, B.,
“A Comparison of Region Detectors for Tracking”, in
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S. Haller, Swoboda, P., and Savchynskyy, B.,
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“Classification”,
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Technical Report (320.84 KB) F. A. Hamprecht, Achleitner, U., Krismer, A. C., Lindner, K. H., Wenzel, V., Strohmenger, H. - U., Thiel, W., and van Gunsteren, W. F.,
“Fibrillation power: An alternative method of ECG spectral analysis for prediction of countershock success in a porcine model of ventricular fibrillation”,
Resuscitation, vol. 50, pp. 287-296, 2001.
F. A. Hamprecht, Cohen, A. J., Tozer, D. J., and Handy, N. C.,
“Development and assessment of new exchange-correlation functionals”,
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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, Jost, D., Rüttimann, M., Calamai, F., and Kowalski, J. J.,
“Preliminary results on the prediction of countershock success with fibrillation power”,
Resuscitation, vol. 50, pp. 297-299, 2001.
F. A. Hamprecht, Peter, C., Daura, X., Thiel, W., and van Gunsteren, W. F.,
“A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization”,
Journal of Chemical Physics, vol. 114, pp. 2079-2089, 2001.
F. A. Hamprecht, Jähne, B., and Schnörr, C., Eds.,
Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14, 2007, Proceedings, vol. 4713. Springer, 2007.
M. Hanselmann, Köthe, U., Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A.,
“Towards Digital Staining using Imaging Mass Spectrometry and Random Forests”,
Journal of Proteome Research, vol. 8, pp. 3558-3567, 2009.
Technical Report (1.47 MB) M. Hanselmann, Köthe, U., Renard, B. Y., Kirchner, M., Heeren, R. M. A., and Hamprecht, F. A.,
“Multivariate Watershed Segmentation of Compositional Data”, in
Proceedings of the 15th International Conference on Discrete Geometry for Computer Imagery (DGCI), in press, 2009, vol. 5810, pp. 180-192.
Technical Report (1.25 MB) M. Hanselmann, Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A.,
“Concise Representation of MS Images by Probabilistic Latent Semantic Analysis”,
Analytical Chemistry, vol. 80, pp. 9649-9658, 2008.
Technical Report (3.91 MB) M. Hanselmann, Röder, J., Köthe, U., Renard, B. Y., Heeren, R. M. A., and Hamprecht, F. A.,
“Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images”,
Analytical Chemistry, vol. 85 (1), pp. 147-155, 2012.
Technical Report (2.58 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.
Technical Report (2.2 MB) K. Hansen, Rathke, F., Schroeter, T., Rast, G., Fox, T., Kriegl, J. M., and Mika, S.,
“Bias-correction of regression models: a case study on hERG inhibition”,
J. Chem. Inf. Model., vol. 49, no. 6, pp. 1486–1496, 2009.