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C
J. Kleesiek, Morshuis, J. Nikolas, Isensee, F., Deike-Hofmann, K., Paech, D., Kickingereder, P., Köthe, U., Rother, C., Forsting, M., Wick, W., Bendszus, M., Schlemmer, H. Peter, and Radbruch, A., Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study, Investigative Radiology, vol. 54, pp. 653–660, 2019.
S. V. E. Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species, in Evolution-The Molecular Landscape, 2009.
S. V. E. Keränen, DePace, A., Hendriks, C. L. Luengo, Fowlkes, C., Arbelaez, P., Ommer, B., Brox, T., Henriquez, C., Wunderlich, Z., Eckenrode, K., Fischer, B., Hammonds, A., and Celniker, S. E., Computational Analysis of Quantitative Changes in Gene Expression and Embryo Morphology between Species, in Evolution-The Molecular Landscape, 2009.
H. Haußecker and Fleet, D. J., Computing optical flow with physical models of brightness variation, IEEE Trans. Pattern Analysis Machine Intelligence, vol. 23, p. 661--673, 2001.
K. Fundana, Heyden, A., Gosch, C., and Schnörr, C., Continuous Graph Cuts for Prior-Based Object Segmentation, in 19th Int.~Conf.~Patt.~Recog.~(ICPR), 2008, p. 1--4.PDF icon Technical Report (414.89 KB)
J. Keuchel, Schellewald, C., Cremers, D., and Schnörr, C., Convex Relaxations for Binary Image Partitioning and Perceptual Grouping, in Mustererkennung 2001, Munich, Germany, 2001, vol. 2191, pp. 353–360.
J. Fehr, Reisert, M., and Burkhardt, H., Cross-Correlation and Rotation Estimation of Local 3D Vector FieldPatches, in Proceedings of the ISVC 2009, Part I, 2009, vol. 5875, pp. 287-296.
D
B. Jähne, Data acquisition by imaging detectors, Handbook of Experimental Fluid Mechanics. Springer, p. 1419--1436, 2007.
B. Jähne, Klar, M., and Jehle, M., Data analysis, Handbook of Experimental Fluid Mechanics. Springer, p. 1437--1491, 2007.
M. Frank, Plaue, M., and Hamprecht, F. A., Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures, Optical Engineering, vol. 48, 077003, 2009.PDF icon Technical Report (2.5 MB)
E. J. Bock, Edson, J. B., Frew, N. M., Karachintsev, A., McGilles, W. R., Nelson, R. K., Hansen, K., Jähne, B., Hara, T., Uz, B. M., Jähne, B., Dieter, J., Klinke, J., and Haußecker, H., Description of the science plan for the April 1995 CoOP experiment, `gas transfer in coastal waters', performed from the research vessel New Horizon, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 801--810.
A. Bruhn, Jakob, T., Fischer, M., Kohlberger, T., Weickert, J., Brüning, U., and Schnörr, C., Designing 3–D Nonlinear Diffusion Filters for High Performance Cluster Computing, in Pattern Recognition, Proc. 24th DAGM Symposium, Zürich, Switzerland, 2002, vol. 2449, pp. 290–297.
S. Ramos, Gehrig, S., Pinggera, P., Franke, U., and Rother, C., Detecting unexpected obstacles for self-driving cars: Fusing deep learning and geometric modeling, in IEEE Intelligent Vehicles Symposium, Proceedings, 2017, pp. 1025–1032.
E. Eyjolfsdottir, Branson, S., Burgos-Artizzu, X. P., Hoopfer, E. D., Schor, J., Anderson, D. J., and Perona, P., Detection of social actions in fruit flies, Lecture Notes in Computer Science, vol. 8690, pp. 772–787, 2014.
P. Fornland and Schnörr, C., Determining the Dominant Plane from Uncalibrated Stereo Vision by a Robust and Convergent Iterative Approach without Correspondence, in Proc. Int. Conf. Comp. Vision and Patt. Recog. (CVPR'97), San Juan, Puerto Rico, 1997.
M. Kandemir, Feuchtinger, A., Walch, A., and Hamprecht, F. A., Digital Pathology: Multiple instance learning can detect Barrett'scancer, ISBI. Proceedings. pp. 1348-1351, 2014.PDF icon Technical Report (2.86 MB)
E. Fita, Damrich, S., and Hamprecht, F. A., Directed Probabilistic Watershed, NeurIPS. Proceedings, vol. 34. 2021.PDF icon Technical Report (957.78 KB)
A. Sellen, Fogg, A., Aitken, M., Hodges, S., Rother, C., and Wood, K., Do life-logging technologies support memory for the past? An experimental study using sensecam, in Conference on Human Factors in Computing Systems - Proceedings, 2007, pp. 81–90.
T. Netzsch and Jähne, B., Dreidimensionale Messung turbulenter Strömung mit Bildverarbeitung, in Proc. 14. DAGM-Symposium zur Mustererkennung, 1992, p. 150--153.
E
J. Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data, CVPR 2012. Proceedings, pp. 1004-1011, 2012.PDF icon Technical Report (1.64 MB)
C. Schnörr and Neumann, B., Ein Ansatz zur effizienten und eindeutigen Rekonstruktion stückweise glatter Funktionen, in Mustererkennung 1992, 14. DAGM-Symposium, Dresden, 1992, pp. 411–416.
A. Denitiu, Petra, S., Schnörr, C., and Schnörr, C., An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, p. 262--274.PDF icon Technical Report (894.83 KB)
A. Denitiu, Petra, S., Schnörr, C., and Schnörr, C., An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography, in Discrete Geometry for Computer Imagery (DGCI) 2014, 2014, pp. 262–274.
A. G. Herzog, Binder, T., Friedl, F., and Jähne, B., Estimating water-sided vertical gas concentration profiles by inverse modeling, in 2nd Int. Conf. Eng. Optimization, Lisbon, 6--9. Sep. 2010, 2010.
T. Hara, Wendelbo, J., Garbe, C. S., Schimpf, U., and Frew, N. M., Estimation of air-sea gas and heat fluxes from infrared imagery and surface wave measurements, in Presented at: International Liège Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.

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