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Steen, J A J, Steen, H, Georgi, A, Parker, K C, Springer, M, Kirchner, M, Hamprecht, F A and Kirschner, M W (2008). Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis. Proceedings of the National Academy of Sciences. 105 6069-6074PDF icon Technical Report (173.02 KB)
Stefanoiu, A, Weinmann, A, Storath, M, Navab, N and Baust, M (2016). Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm. IEEE Transactions on Image Processing. 25 3384 - 3394PDF icon Technical Report (3.55 MB)
Stöhr, (2003). Analysis of Flow and Transport in Refractive Index Matched Porous Media. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/3733
Stöhr, (1998). Entwicklung Dreidimensionaler Particle Tracking Velocimetry Zur Messung Der Zweiphasenströmung In Gas-Flüssig-Reaktoren. University of Heidelberg
Stöhr, M, Garbe, C S, Engelmann, D, Geißler, P, Gomes, S, Hering, F, Jähne, B, Keil, F, Mackens, W, Voß, H and Wagner, H - G (1999). 4D particle tracking velocimetry applied to gas-liquid reactors. In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control. Springer Verlag. 270--279
Stöhr, M, Roth, K and Jähne, B (2003). Measurement of 3D pore-scale flow in index-matched porous media. Exp. Fluids. 35 159--166
Stolz, A (1997). Infrarot-Absorptionsspektroskopie Zur Bestimmung Der Luftkonzentration Von Spurengasen. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Storath, M, Brandt, C, Hofmann, M, Knopp, T, Salamon, J, Weber, A and Weinmann, A (2017). Edge preserving and noise reducing reconstruction for magnetic particle imaging. IEEE Transactions on Medical Imaging. 36 74 - 85PDF icon Technical Report (1.43 MB)
Storath, M, Weinmann, A and Unser, M (2017). Jump-penalized least absolute values estimation of scalar or circle-valued signals. Information and Inference. 6 225–245PDF icon Technical Report (3.4 MB)
Storath, M and Weinmann, A (2018). Fast median filtering for phase or orientation data. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40 639–652PDF icon Technical Report (7.32 MB)
Storath, M, Rickert, D, Unser, M and Weinmann, A (2017). Fast segmentation from blurred data in 3D fluorescence microscopy. IEEE Transactions on Image Processing. 26
Storath, M, Kiefer, L and Weinmann, A (2019). Smoothing for signals with discontinuities using higher order Mumford-Shah models. Numerische Mathematik. 143(2) 423-460PDF icon Technical Report (1.09 MB)
Straehle, C N (2014). Interactive Segmentation, Uncertainty and Learning. University of Heidelberg
Straehle, C N (2011). Interactive Segmentation Of Neural Electron Microscopy Data. University of Heidelberg
Straehle, C N, Köthe, U, Briggman, K, Denk, W and Hamprecht, F A (2012). Seeded watershed cut uncertainty estimators for guided interactive segmentation. CVPR 2012. Proceedings. 765 - 772PDF icon Technical Report (2.84 MB)
Straehle, C N, Köthe, U and Hamprecht, F A (2013). Weakly supervised learning of image partitioning using decision trees with structured split criteria. ICCV 2013. Proceedings. 1849-1856PDF icon Technical Report (5.97 MB)
Straehle, C N, Kandemir, M, Köthe, U and Hamprecht, F A (2014). Multiple instance learning with response-optimized random forests. ICPR. Proceedings. 3768 - 3773PDF icon Technical Report (296.66 KB)
Straehle, C N, Peter, S, Köthe, U and Hamprecht, F A (2013). K-smallest Spanning Tree Segmentations. German Conference on Pattern Recognition (DAGM/GCPR). Proceedings. Springer. 375-384PDF icon Technical Report (1.18 MB)
Straehle, C N, Köthe, U, Knott, G W and Hamprecht, F A (2011). Carving: Scalable Interactive Segmentation of Neural Volume Electron Microscopy Images. MICCAI 2011, Proceedings. Springer. 6891 653-660PDF icon Technical Report (1.69 MB)
Strobel, J, Görlitz, L and Staudacher, M (2005). Verfahren und Prüfkörper zur Bestimmung der Reinigungswirkung in einem Ultraschallbild
Strouse, T M D (2016). Marijuana's Public Health Pros and Cons | For Better | US News. U.S. News and World Report. http://health.usnews.com/health-news/patient-advice/articles/2016-10-12/marijuanas-public-health-pros-and-cons
Strzodka, R and Garbe, C S (2004). Real-time motion estimation and visualization on graphics cards. Proceedings IEEE Visualization 2004. 545--552
Stybalkowski, P (2001). Strömungsmessung In Sedimentporen Mittel 3D Particle Tracking Velocimetry. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Suhr, H, Wehnert, G, Schneider, K, Bittner, C, Scholz, T, Geißler, P, Jähne, B and Scheper, T (1995). In-situ microscopy for on-line characterization of cell-populations in bioreactors, including concentration measurements by depth from focus. Biotechnology and Bioengineering. 47 106--116
Sümer, Ö, Dencker, T and Ommer, B (2017). Self-supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos. Proceedings of the IEEE International Conference on Computer Vision (ICCV)PDF icon Paper (3.98 MB)PDF icon Supplementary Material (3.36 MB)
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014PDF icon Technical Report (703.34 KB)
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)PDF icon Technical Report (159.71 KB)
Swoboda, P and Schnörr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321--334PDF icon Technical Report (8.06 MB)
Swoboda, P and Schnörr, C (2013). Convex Variational Image Restoration with Histogram Priors. SIAM J.~Imag.~Sci. 6 1719-1735PDF icon Technical Report (553.54 KB)
Swoboda, P, Kuske, J and Savchynskyy, B (2016). A Dual Ascent Framework for Lagrangean Decomposition of Combinatorial Problems. arXiv, preprint. https://arxiv.org/pdf/1612.05460.pdf
Swoboda, P, Shekhovtsov, A, Kappes, J Hendrik, Schnörr, C and Savchynskyy, B (2016). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE Computer Society. 38 1370–1382
Swoboda, P, Shekhovtsov, A, Kappes, J H, Schnörr, C and Savchynskyy, B (2016). Partial Optimality by Pruning for MAP-Inference with General Graphical Models. IEEE Trans. Patt. Anal. Mach. Intell. 38 1370–1382
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2014). Partial Optimality by Pruning for MAP-inference with General Graphical Models. IEEE Conference on Computer Vision and Pattern Recognition 2014
Swoboda, P, Savchynskyy, B, Kappes, J H and Schnörr, C (2013). Partial Optimality via Iterative Pruning for the Potts Model. Scale Space and Variational Methods (SSVM 2013)
Swoboda, P and Schnörr, C (2013). Variational Image Segmentation and Cosegmentation with the Wasserstein Distance. Energy Minimization Methods in Computer Vision and Pattern Recognition. Springer. 8081 321–334

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