S.  Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed: Efficient, Parameter-Free Image   Partitioning?, ECCV. Proceedings. Springer, pp. 571-587, 2018.

S.  Wolf, Pape, C., Bailoni, A., Rahaman, N., Kreshuk, A., Köthe, U., and Hamprecht, F. A., ?The Mutex Watershed: Efficient, Parameter-Free Image Partitioning?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018, vol. 11208 LNCS, pp. 571?587.

M.  Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., ?Maschinelles Lernen?, Patent, Patent Number WO2017032775A1, 2017.

T.  Beier, Pape, C., Rahaman, N., Prange, T., Berg, S., Bock, D., Cardona, A., Knott, G. W., Plaza, S. M., Scheffer, L. K., Köthe, U., Kreshuk, A., and Hamprecht, F. A., ?Multicut brings automated neurite segmentation closer to human performance?, Nature Methods, vol. 14, no. 2, pp. 101-102, 2017.

G.  Urban, Bendszus, M., Hamprecht, F. A., and Kleesiek, J., ?Multi-modal Brain Tumor Segmentation using Deep Convolutional NeuralNetworks?, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, winningcontribution, 2014, pp. 31-35.

C. N.  Straehle, Kandemir, M., Köthe, U., and Hamprecht, F. A., ?Multiple instance learning with response-optimized random forests?, in ICPR. Proceedings, 2014, pp. 3768 - 3773.

M.  Kirchner, Steen, J. A. J., Hamprecht, F. A., and Steen, H., ?MGFp: An Open Mascot Generic Format Parser Library Implementation?, Journal of Proteome Research, vol. 9 (5), p. 27622763, 2010.

B. H.  Menze and Hamprecht, F. A., ?Multimodal Medical Image Analysis: from Visualization to Disease Modeling?, Zeitschrift für Med. Physik, vol. 1, pp. 1-2, 2010.

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.  Staudacher, Hamprecht, F. A., and Görlitz, L., ?Method for processing an intensity image of a microscope?, Patent, Patent Number: WO2008034721A1, 2008.

B. H.  Menze, Kelm, B. Michael, Weber, M. - A., Bachert, P., and Hamprecht, F. A., ?Mimicking the human expert: pattern recognition for an automated assessment of data quality in MRSI?, Magnetic Resonance in Medicine, vol. 59, pp. 1457-1466, 2008.

B. H.  Menze, Petrich, W., and Hamprecht, F. A., ?Multivariate feature selection and hierarchical classification for infrared spectroscopy: serum-based detection of bovine spongiform encephalopathy?, Analytical and Bioanalytical Chemistry, vol. 387, pp. 1801-1807, 2007.

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.

P. J.  Gee, Hamprecht, F. A., Schuler, L. D., van Gunsteren, W. F., Duchardt, E., Schwalbe, H., Albert, M., and Seebach, D., ?A molecular dynamics simulation study of the conformational preferences of oligo-(3- hydroxyalcanoic acids) in chloroform solution?, Helv. Chim. Acta, vol. 85, pp. 618-632, 2002.

B.  Jähne, Brocke, M., Eisele, H., Hader, S., Hamprecht, F. A., Happold, W., Raisch, F., and Restle, J., ?Multidimensionale Bildverarbeitung in der Produktion?, QZ, vol. 47, p. 1154--1159, 2002.