B.  Balluff, Hanselmann, M., and Heeren, R. M. A., ?Mass spectrometry imaging for the investigation of intratumor heterogeneity?, in Advances in Cancer Research, vol. 134, Elsevier, 2017, pp. 201-230.

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.

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.

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.

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.