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Kümmerlen, B, Dauwe, S, Schmund, D, Schurr, U, Jähne, B and Haußecker, H (2000). Thermography to measure water relations of plant leaves. Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press. 636--637

Geißler, P, Dierig, T, Mallot, H A and Jähne, B (2000). Three-dimensional imaging algorithms. Computer Vision and Applications - A Guide for Students and Practitioners. Academic Press. 397--438

Jähne, (1982). Trockene Deposition von Gasen über Wasser (Gasaustausch). Austausch von Luftverunreinigungen an der Grenzfläche Atmospäre/Erdoberfläche, Zwischenbericht für das Umweltbundesamt zum Teilprojekt 1: Deposition von Gasen, BleV-R-64.284-2. Battelle Institut

Hader, S and Hamprecht, F A (2004). Two-Stage Classification with Automatic Feature Selection for an Industrial Application. Classification, the ubiquitous challenge: Proceedings of GfKl 2004. Springer. 137-144

Technical Report (518.16 KB)

Richmond, D, Kainmueller, D, Glocker, B, Rother, C and Myers, G (2015). Uncertainty-driven forest predictors for vertebra localization and segmentation. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9349 653–660

Vlasenko, A and Schnörr, C (2009). Variational Approaches for Model-Based PIV and Visual Fluid Analysis. Imaging Measurement Methods for Flow Analysis. Springer. 106 247-256

Vlasenko, A and Schnörr, C (2009). Variational Approaches for Model-Based PIV and Visual Fluid Analysis. Imaging Measurement Methods for Flow Analysis. Springer. 106 247-256

Technical Report (3.39 MB)

Ruhnau, P, Kohlberger, T, Nobach, H and Schnörr, C (2004). Variational Optical Flow Estimation for Particle Image Velocimetry. Proc. Lasermethoden in der Strömungsmeßtechnik. Deutsche Gesellschaft für Laser-Anemometrie GALA e.V., Karlsruhe

Schnörr, C, Schüle, T and Weber, S (2007). Variational Reconstruction with DC-Programming. Advances in Discrete Tomography and Its Applications. Birkhäuser, Boston

Bergtholdt, M, Cremers, D and Schnörr, C (2005). Variational Segmentation with Shape Priors. Handbook of Mathematical Models in Computer Vision. Springer. 147-160

Falkenroth, A, Degreif, K, Jähne, B and Jähne, B (2007). Visualisation of oxygen concentration fields in the mass boundary layer by fluorescence quenching. Transport at the Air Sea Interface --- Measurements, Models and Parameterizations. Springer Verlag

Berthe, A, Kondermann, D, Jähne, B and Ketzscher, U (2009). The wall PIV measurement technique for near wall flow fields in biofliud mechanics. Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009. Springer. 106 11--20

Jähne, B, Balschbach, G and Fuß, D (2002). Wellenbewegte Wasseroberfläche. Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann. 259--262. http://d-nb.info/96618503X

Köthe, (2008). What Can We Learn from Discrete Images about the Continuous World. Discrete Geometry for Computer Imagery. Springer. 4992 4-19

Jähne, (2020). What controls air-sea gas exchange at extreme wind speeds? Evidence from laboratory experiments. Recent Advances in the Study of Oceanic Whitecaps. Springer. 133–150

inproceedings

Milbich, T, Roth, K, Sinha, S, Schmidt, L, Ghassemi, M and Ommer, B (2021). Characterizing Generalization under Out-Of-Distribution Shifts in Deep Metric Learning. https://arxiv.org/abs/2107.09562

Kandemir, M, Feuchtinger, A, Walch, A and Hamprecht, F A (2014). Digital Pathology: Multiple instance learning can detect Barrett'scancer. ISBI. Proceedings. 1348-1351

Technical Report (2.86 MB)

Wolf, S, Schott, L, Köthe, U and Hamprecht, F A (2017). Learned Watershed: End-to-End Learning of Seeded Segmentation. ICCV. 2030-2038

Technical Report (3.76 MB)

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

Pape, C, Beier, T, Li, P, Jain, V, Brock, D D and Kreshuk, A (2017). Solving Large Multicut Problems for Connectomics via Domain Decomposition. Bioimage Computing Workshop. ICCV. 1-10

Journal Article

Wiehler, K, Heers, J, Schnörr, C, Stiehl, H –S and Grigat, R –R (2001). A 1D analog VLSI implementation for non-linear real-time signal preprocessing. Real–Time Imaging. 7 127–142

Vianello, A, Manfredi, G, Diebold, M and Jähne, B (2017). 3D reconstruction by a combined structure tensor and Hough transform light field approach. tm - Technisches Messen

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

Technical Report (20.85 MB)

Wolny, A, Cerrone, L, Vijayan, A, Tofanelli, R, Vilches-Barro, A, Louveaux, M, Wenzel, C, Strauss, S, Wilson-Sanchez, D, Lymbouridou, R, Steigleder, S S, Pape, C, Bailoni, A, Duran-Nebreda, S, Bassel, G W, Lohmann, J U, Tsiantis, M, Hamprecht, F A, Schneitz, K, Maizel, A and Kreshuk, A (2020). Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution. eLife. 9

Hanselmann, M, Röder, J, Köthe, U, Renard, B Y, Heeren, R M A and Hamprecht, F A (2012). Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images. Analytical Chemistry. 85 (1) 147-155

Technical Report (2.58 MB)

Röder, J, Kunzmann, K, Nadler, B and Hamprecht, F A (2012). Active Learning with Distributional Estimates. UAI 2012. Proceedings. 715-725

Technical Report (267.67 KB)

Kandemir, M, Hamprecht, F A, Wojek, C and Schmidt, U (2017). Active machine learning for training an event classification. Patent, Patent Number WO2017032775 A1

Lou, X, Schiegg, M and Hamprecht, F A (2014). Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability. IEEE Transactions on Medical Imaging. 33 (4) 849-860

Technical Report (6.84 MB)

Banerjee, D, Garbe, C S, Schimpf, U, Jähne, B and Schabel, S (2008). An active thermographic technique for highly resolved heat transport measurements in paper drying. APPITA Journal. 61 244--249. http://search.informit.com.au/documentSummary;dn=113990239180698;res=IELHSS

Schüle, T, Weber, S and Schnörr, C (2005). Adaptive Reconstruction of Discrete-Valued Objects from few Projections. Electr. Notes in Discr. Math. 20 365-384

Krah, N, Testa, M, Brons, S, Jäkel, O, Parodi, K, Voss, B and Rinaldi, I (2015). An advanced image processing method to improve the spatial resolution of ion radiographies. Physics in Medicine and Biology. 60 8525. http://stacks.iop.org/0031-9155/60/i=21/a=8525

Frew, N M, Bock, E J, Schimpf, U, Hara, T, Haußecker, H, Edson, J B, McGilles, W R, Nelson, R K, McKenna, S P, Uz, B M and Jähne, B (2004). Air-sea gas transfer: Its dependence on wind stress, small-scale roughness, and surface films. J. Geophys. Res. 109 C08S17

Jähne, B and Haußecker, H (1998). Air-water gas exchange. Annu. Rev. Fluid Mech. 30 443--468

Krall, K E, Smith, A W, Takagaki, N and Jähne, B (2019). Air–sea gas exchange at wind speeds up to 85 m/s. Ocean Science. 15 1783-–1799

Görlitz, L, Hamprecht, F A and Staudacher, M (2009). Allocation of particles to development processes. Patent

Technical Report (406.7 KB)

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