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A
D. Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., “An active thermographic technique for highly resolved heat transport measurements in paper drying”, APPITA Journal, vol. 61, p. 244--249, 2008.
D. Banerjee, Garbe, C. S., Schimpf, U., Jähne, B., and Schabel, S., “An active thermographic technique for highly resolved heat transport measurements in paper drying”, in 61st Appita Annual Conference Proceedings, 2007, pp. 161-167.
X. Lou, Schiegg, M., and Hamprecht, F. A., “Active Structured Learning for Cell Tracking: Algorithm, Framework and Usability”, IEEE Transactions on Medical Imaging, vol. 33 (4), pp. 849-860, 2014.PDF icon Technical Report (6.84 MB)
M. Kandemir, Hamprecht, F. A., Wojek, C., and Schmidt, U., “Active machine learning for training an event classification”, Patent, Patent Number WO2017032775 A1, 2017.
J. Röder, Kunzmann, K., Nadler, B., and Hamprecht, F. A., “Active Learning with Distributional Estimates”, UAI 2012. Proceedings, pp. 715-725, 2012.PDF icon Technical Report (267.67 KB)
J. Röder, “Active Learning: New Approaches, and Industrial Applications”. University of Heidelberg, 2013.
M. Hanselmann, Röder, J., Köthe, U., Renard, B. Y., Heeren, R. M. A., and Hamprecht, F. A., “Active Learning for Convenient Annotation and Classification of Secondary Ion Mass Spectrometry Images”, Analytical Chemistry, vol. 85 (1), pp. 147-155, 2012.PDF icon Technical Report (2.58 MB)
D. Kainmueller, Jug, F., Rother, C., and Myers, G., “Active graph matching for automatic joint segmentation and annotation of C. elegans”, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2014, vol. 8673 LNCS, pp. 81–88.
N. Hüsken, “Active and Online Learning for Interactive Image Analysis”, University of Heidelberg, 2010.
H. Spies and Scharr, H., “Accurate optical flow in noisy image sequences”, in ICCV, 2001, p. 587--592.
A. Wolny, 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., “Accurate and Versatile 3D Segmentation of Plant Tissues at Cellular Resolution”, eLife, vol. 9, 2020.
L. Maier-Hein, Schmidt, M., Franz, A. M., Santos, T. R. dos, Seitel, A., Jähne, B., Fitzpatrick, J. M., and Meinzer, H. - P., “Accounting for an­iso­tro­pic noise in fine registration of time-of-flight range data with high-resolution surface data”, in Medical Image Computing and Computer-Assisted Intervention (MICCAI 2010), 2010, vol. 6361, p. 251--258.
S. Petra, Popa, C., and Schnörr, C., “Accelerating Constrained SIRT with Applications in Tomographic Particle Image Reconstruction”, IWR, University of Heidelberg, 2009.PDF icon Technical Report (3.33 MB)
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B. Jähne, “625 Jahre Ruperto Carola und 25 Jahre Bildverarbeitung”, Universität Heidelberg. Menschen, Lebenswege, Forschung, vol. 55. Gesellschaft der Freunde Universität Heidelberg e. V., p. 71--73, 2013.
F. Haug and Jähne, B., “6 DoF appearance-based object localization with local covariant features”, in Forum Bildverarbeitung, 2010, p. 13--24.
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B. Jähne, “50. Heidelberger Bildverarbeitungsforum --- Jubiläumsinterview mit Prof. Dr. Bernd Jähne”. 2012.
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M. Stöhr, Garbe, C. S., Engelmann, D., Geißler, P., Gomes, S., Hering, F., Jähne, B., Keil, F., Mackens, W., Voß, H., and Wagner, H. - G., “4D particle tracking velocimetry applied to gas-liquid reactors”, in In Scientific Computing in Chemical Engineering II - Simulation, Image Processing, Optimization and Control., J. Werther, Ed. Springer Verlag, 1999, p. 270--279.
3
M. Klar, Stybalkowski, P., Spies, H., and Jähne, B., “3D-Strömungsmessung in Kiesporen”, Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann, p. 247--250, 2002.
P. Geißler, Jähne, B., and Waldhäusl, P., “A 3D-sensor for the measurement of particle concentration from image sequences”, in Proc. 18th Int. Congr. for Photogrammetry and Remote Sensing, 1996, vol. 31, p. 194--199.
N. Kirchgeßner, Scharr, H., and Schurr, U., “3D-Modellierung von Pflan­zen­blät­tern mittels eines Depth-from-Motion Verfahrens”, in Proceedings of the 22th DAGM Symposium on Pattern Recognition, 2000, p. 381--388.
D. Engelmann, “3D-Flow Measurement by Stereo Imaging”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.
B. Jähne and Herrmann, H., “3D-Exploration mit einer sich bewegenden Kamera”, in Bildverarbeitung'97, Forschen, Entwickeln, Anwenden, 1997.
H. Spies and Jähne, B., “3D-Blattbewegung und Wachstum”, Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann, p. 267--270, 2002.
A. Shesh, Criminisi, A., Rother, C., and Smyth, G., “3D-aware image editing for out of bounds photography”, in Proceedings - Graphics Interface, 2009, pp. 47–54.
S. Petra, Schröder, A., and Schnörr, C., “3D Tomography from Few Projections in Experimental Fluid Mechanics”, Imaging Measurement Methods for Flow Analysis, vol. 106. Springer, pp. 63-72, 2009.PDF icon Technical Report (411.51 KB)
A. Biesdorf, Wörz, S., von Tengg-Kobligk, H., Rohr, K., and Schnörr, C., “3D Segmentation of Vessels by Incremental Implicit Polynomial Fitting and Convex Optimization”, in Proc.~ISBI, 2015.PDF icon Technical Report (611.33 KB)
B. Andres, Köthe, U., Kröger, T., Helmstaedter, M., Briggmann, K. L., Denk, W., and Hamprecht, F. A., “3D Segmentation of SBFSEM Images of Neuropil by a Graphical Model over Supervoxel Boundaries”, Medical Image Analysis, vol. 16 (2012), pp. 796-805, 2012.PDF icon Technical Report (20.85 MB)
J. Esparza, “3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems”. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2015.
J. Esparza, “3D Reconstruction for Optimal Representation of Surroundings in Automotive HMIs, Based on Fisheye Multi-camera Systems”, vol. Dissertation. IWR, Fakultät für Physik und Astronomie, Univ. Heidelberg, 2015.
A. Vianello, Manfredi, G., Diebold, M., and Jähne, B., “3D reconstruction by a combined structure tensor and Hough transform light field approach”, tm - Technisches Messen, 2017.
A. Vianello, Manfredi, G., Diebold, M., and Jähne, B., “3D Reconstruction by a Combined Structure Tensor and Hough Transform Light-Field Approach”, Forum Bildverarbeitung. 2016.
M. Klar, “3D Particle-Tracking Velocimetry applied to Turbulent Open-Channel Flow over a Gravel Layer”, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2001.
D. Hoiem, Rother, C., and Winn, J., “3D LayoutCRF for multi-view object class recognition and segmentation”, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.
2
K. Roetmann, Garbe, C. S., and Beushausen, V., “2D-Molecular Tagging Velocimetry zur Analyse Mikrofluidischer Strömungen”, in Tagungsband Lasermethoden in der Strömungsmesstechnik (GALA), 2005, p. 26/1--26/10.
V. Beushausen, Roetmann, K., Schmunk, W., Wellhausen, M., Garbe, C. S., and Jähne, B., “2D-measurement technique for simultaneous quantitative determination of mixing ratio and velocity field in microfluidic applications”, Imaging Measurement Methods for Flow Analysis, Results of the DFG Priority Programme 1147 Imaging Measurement Methods for Flow Analysis 2003-2009, vol. 106. Springer, p. 155--164, 2009.

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