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Stöhr, M, Roth, K and Jähne, B (2003). Measurement of 3D pore-scale flow in index-matched porous media. Exp. Fluids. 35 159--166
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)
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)
Staudacher, M, Hamprecht, F A and Görlitz, L (2009). Self Adjustment of Scanning Electron Microscopes / Selbstadaptivität von Rasterelektronenmikroskopen. Patent, Patent Number WO2009062781A1PDF icon Technical Report (46.64 KB)
Staudacher, M, Hamprecht, F A and Görlitz, L (2008). Method for processing an intensity image of a microscope. Patent, Patent Number: WO2008034721A1PDF icon Technical Report (39.81 KB)
Stapf, J (2015). Novel learning-based techniques for dense fluid motion measurements. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg.
Stapf, J (2010). Bestimmung Der Dynamischen Oberflächenspannung Mit Hilfe Der Blasendruckmethode. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg.
Stahl, A, Ruhnau, P and Schnörr, C (2006). A Distributed Parameter Approach to Dynamic Image Motion. ECCV 2006, International Workshop on The Representation and Use of Prior Knowledge in Vision. LNCS, SpringerPDF icon Technical Report (1.24 MB)
Sprengel, R and Schnörr, C (1993). Nichtlineare Diffusion zur Integration visueller Daten - Anwendung auf Kernspintomogramme. Mustererkennung 1993, 15. DAGM-Symposium. Springer Verlag. 134–141
Sprengel, R, Schnörr, C and Neumann, B (1994). Detection of Visual Data Transitions in Nonlinear Parameter Space. Mustererkennung 1994. Technische Universität Wien. 5 315–323
Spörl, (1996). Integration Von Fuzzy-Methoden In Ein System Zur Auswertung Von Sensordaten. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg
Spies, H (2001). Analysing Dynamic Processes in Range Data Sequences. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg.
Spies, H (1998). Bewegungsdetektion Und Geschwindigkeitsanalyse In Bildfolgen Zur Untersuchung Von Sedimentverlagerungen Und Porenströmungen. University of Heidelberg
Spies, H and Barron, J L (2002). Evaluating the range flow motion constraint.. ICPR. 517--
Spies, H and Barron, J L (2002). Estimating expansion rates from range data sequences. 15th International Conference on Vision Interface. 339 - 346
Spies, H, Beringer, O, Gröning, H, Haußecker, H, Jähne, B, Haußecker, H and Geißler, P (1999). Analyzing particle movements at soil interfaces. Handbook of Computer Vision and Applications. Academic Press. 3: Systems and Applications 699-718
Spies, H, Dierig, T, Garbe, C S and Würtz, R P (2002). Local models for dynamic processes in image sequences. Dynamic Perception. Aka GmbH. 59--64
Spies, H and Garbe, C S (2002). Dense parameter fields from total least squares. Proceedings of the 24th DAGM Symposium on Pattern Recognition. Springer. LNCS 2449 379--386
Spies, H, Gröning, H, Haußecker, H, Jähne, B and Haußecker, H (2000). Analyzing particle movements at soil interfaces. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 648--649
Spies, H, Haußecker, H, Jähne, B and Barron, J L (1999). Differential range flow estimation. Proceedings of the 21th DAGM Symposium on Pattern Recognition. 309--316
Spies, H, Haußecker, H and Köhler, H - J (2000). Material transport and structure changes at soil-water interfaces. Filters and Drainage in Geotechnical and Environmental Engineering. 91--97
Spies, H and Jähne, B (2002). 3D-Blattbewegung und Wachstum. Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann. 267--270.
Spies, H and Jähne, B (2001). A general framework for image sequence processing. Fachtagung Informationstechnik. 125--132
Spies, H, Jähne, B and Barron, J L (2000). Regularised range flow. European Conference on Computer Vision (ECCV). Springer. 2 785--799
Spies, H, Jähne, B and Barron, J L (2002). Range flow estimation.. Computer Vision and Image Understanding. 85 209--231
Spies, H, Jähne, B and Barron, J L (2001). Surface expansion from range data sequences. Proceedings of the 23th DAGM Symposium on Pattern Recognition. Springer. 163--169
Spies, H, Jähne, B and Barron, J L (2000). Dense range flow from depth and intensity data. ICPR. 131--134
Spies, H, Kirchgeßner, N, Scharr, H and Jähne, B (2000). Dense structure estimation via regularised optical flow. VMV 2000. Aka GmbH, Berlin. 57--64
Spies, H and Scharr, H (2001). Accurate optical flow in noisy image sequences. ICCV. 587--592
Spedding, G R, Klinke, J and Long, S R (1996). Estimating $\omega(k)$ in an unsteady, wind-generated surface wave field from the 2D complex wavelet transform of the surface slope. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 373--382
Sorrenson, P, Rother, C and Köthe, U (2020). Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN). Intl. Conf. Learning Representations (ICLR). icon PDF (2.43 MB)
Sommer, C (2010). Interactive Learning for the Analysis of Biomedical and Industrial Imagery. University of Heidelberg
Sommer, C, Fiaschi, L, Hamprecht, F A and Gerlich, D (2012). Learning-based Mitotic Cell Detection in Histopathological Images. ICPR 2012. Proceedings. 2306-2309PDF icon Technical Report (1.96 MB)
Sommer, C, Straehle, C N, Köthe, U and Hamprecht, F A (2011). ilastik: Interactive Learning and Segmentation Toolkit. Eighth IEEE International Symposium on Biomedical Imaging (ISBI 2011).Proceedings. 230-233
Snoeij, P, Calkoen, C J, Oost, W A, van Halsema, D, Vogelzang, J and Jähne, B (1990). Dual-polarized scatterometer measurements of generated Wind and Gravity Wave in a Very Large Wind/Wave Tank. Proc. IGARSS'90. 2157--2160