J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, International Journal of Computer Vision, pp. 1-30, 2015.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, Int.~J.~Comp.~Vision, 2015.

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.

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.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for StructuredDiscrete Energy Minimization Problems?, CoRR, 2014.

J. H.  Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., ?A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems?, CoRR, vol. abs/1404.0533, 2014.

T.  Beier, Kröger, T., Kappes, J. H., Köthe, U., and Hamprecht, F. A., ?Cut, Glue and Cut: A Fast, Approximate Solver for Multicut Partitioning?, in 2014 {IEEE} Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014, 2014.

T.  Kröger, ?Learning-based Segmentation for Connectomics?. University of Heidelberg, 2014.

T.  Kröger, Mikula, S., Denk, W., Köthe, U., and Hamprecht, F. A., ?Learning to Segment Neurons with Non-local Quality Measures?, in MICCAI 2013. Proceedings, part II, 2013, vol. 8150, pp. 419-427.

B.  Andres, Köthe, U., Kröger, T., Helmstaedter, M., Briggmann, K. L., Denk, W., and Hamprecht, F. A., ?3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries?, Medical Image Analysis, vol. 16 (2012), pp. 796-805, 2012.

B.  Andres, Kröger, T., Briggmann, K. L., Denk, W., Norogod, N., Knott, G. W., Köthe, U., and Hamprecht, F. A., ?Globally Optimal Closed-Surface Segmentation for Connectomics?, in ECCV 2012. Proceedings, Part 3, 2012, pp. 778-791.

A.  Monroy, Kröger, T., Arnold, M., and Ommer, B., ?Parametric Object Detection for Iconographic Analysis?, in Scientific Computing & Cultural Heritage, 2011.

T.  Kröger, ?Exploratory and computational analysis of huge volume images for connectomics?, University of Heidelberg, 2010.

U.  Köthe, Andres, B., Kröger, T., and Hamprecht, F. A., ?Geometric Analysis of 3D Electron Microscopy Data?, in Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), 2010, pp. 22-26.

B.  Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., ?How to Extract the Geometry and Topology from Very Large 3D Segmentations?, ArXiv e-prints, 2010.

B.  Andres, Köthe, U., Kröger, T., and Hamprecht, F. A., ?Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x?, ArXiv e-prints, 2010.