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.

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.

B.  Savchynskyy and Schmidt, S., ?Getting Feasible Variable Estimates From Infeasible Ones: MRF LocalPolytope Study?, in Workshop on Inference for Probabilistic Graphical Models at ICCV.Proceedings, 2013.

B.  Savchynskyy, Schmidt, S., Kappes, J. H., and Schnörr, C., ?Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing?, UAI. Proceedings, pp. 746-755, 2012.

B.  Savchynskyy and Schmidt, S., ?Getting Feasible Variable Estimates From Infeasible Ones: MRF LocalPolytope Study?, arXiv:1210.4081, 2012.

S.  Schmidt, Savchynskyy, B., Kappes, J. H., and Schnörr, C., ?Evaluation of a First-Order Primal-Dual Algorithm for MRF EnergyMinimization?, in EMMCVPR 2011, 2011, vol. 6819, pp. 89-103.

F.  Rathke, Schmidt, S., and Schnörr, C., ?Order Preserving and Shape Prior Constrained Intra-Retinal LayerSegmentation in Optical Coherence Tomography?, in MICCAI 2011, Proceedings, 2011, vol. 6893, pp. 370-377.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAPLabeling?, IEEE International Conference on Computer Vision and Pattern Recognition(CVPR), accepted as oral presentation, pp. 1817 - 1823, 2011.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling?, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

B.  Savchynskyy, Kappes, J. H., Schmidt, S., and Schnörr, C., ?A Study of Nesterov's Scheme for Lagrangian Decomposition and MAP Labeling?, in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2011.

J. H.  Kappes, Schmidt, S., and Schnörr, C., ?MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation?, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.

J. H.  Kappes, Schmidt, S., and Schnörr, C., ?MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation?, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, p. 735--747.

J. H.  Kappes, Schmidt, S., and Schnörr, C., ?MRF Inference by k-Fan Decomposition and Tight Lagrangian Relaxation?, in European Conference on Computer Vision (ECCV), 2010, vol. 6313, pp. 735?747.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.

S.  Schmidt, Kappes, J. H., Bergtholdt, M., Pekar, V., Dries, S., Bystrov, D., and Schnörr, C., ?Spine Detection and Labeling Using a Parts-Based Graphical Model?, in Proc. 20th International Conference on Information Processing in Medical Imaging (IPMI 2007), 2007, vol. 4584, pp. 122-133.