P.  Swoboda, Shekhovtsov, A., Kappes, J. Hendrik, Schnörr, C., and Savchynskyy, B., ?Partial Optimality by Pruning for MAP-Inference with General Graphical Models?, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, pp. 1370?1382, 2016.

E.  Bodnariuc, Schiffner, M. F., Petra, S., and Schnörr, C., ?Plane Wave Acoustic Superposition for Fast Ultrasound Imaging?, International Ultrasonics Symposium. 2016.

J. Hendrik Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic correlation clustering and image partitioning using perturbed Multicuts?, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2015, vol. 9087, pp. 231?242.

J. H.  Kappes, Swoboda, P., Savchynskyy, B., Hazan, T., and Schnörr, C., ?Probabilistic Correlation Clustering and Image Partitioning Using Perturbed Multicuts?, in Proc.~SSVM, 2015.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General GraphicalModels?, CVPR. Proceedings. pp. 1170-1177, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General Graphical Models?, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality by Pruning for MAP-inference with General Graphical Models?, in IEEE Conference on Computer Vision and Pattern Recognition 2014, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections?, Fundamenta Informaticae, vol. 135, pp. 73?102, 2014.

A.  Denitiu, Petra, S., Schnörr, C., and Schnörr, C., ?Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections?, Fundamenta Informaticae, vol. 135, p. 73--102, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Med. Image Anal., vol. 18, pp. 781?794, 2014.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization?, Medical Image Analysis, vol. 18, pp. 781-794, 2014.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Scale Space and Variational Methods (SSVM 2013), 2013.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Scale Space and Variational Methods (SSVM 2013), 2013.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Partial Optimality via Iterative Pruning for the Potts Model?, in Proceedings of the 4th International Conference on Scale Space andVariational Methods in Computer Vision SSVM, 2013, pp. 477-488.

P.  Swoboda, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Persistency by Pruning for General Graphical Models?, in submitted to NIPS 2013., 2013.

A.  Vlasenko and Schnörr, C., ?Physically Consistent and Efficient Variational Denoising of Image Fluid Flow Estimates?, IEEE Trans.~Image Proc., vol. 19, pp. 586-595, 2010.

A.  Vlasenko and Schnörr, C., ?Physically Consistent Variational Denoising of Image Fluid Flow Estimates?, in Pattern Recognition -- 30th DAGM Symposium, 2008, vol. 5096, p. 406--415.

F. A.  Hamprecht, Schnörr, C., and Jähne, B., Eds., ?Pattern Recognition ? 29th DAGM Symposium?, LCNS, vol. 4713. Springer, 2007.

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.

C.  Schnörr and Jähne, B., ?Pattern Recognition, 29th DAGM Symposium, Heidelberg, Germany, September 12-14?, vol. 4713. Springer, 2007.