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Journal Article

S. Berg, Kutra, D., Kroeger, T., Straehle, C. N., Kausler, B. X., Haubold, C., Schiegg, M., Ales, J., Beier, T., Rudy, M., Eren, K., Cervantes, J. I., Xu, B., Beuttenmüller, F., Wolny, A., Zhang, C., Köthe, U., Hamprecht, F. A., and Kreshuk, A., “ilastik: interactive machine learning for (bio)image analysis”, Nature Methods, vol. 16, pp. 1226-1232, 2019.

R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”, SIAM Journal on Imaging Sciences, vol. 11, no. 2, pp. 1317-1362, 2018.

Technical Report (2.62 MB)

R. Hühnerbein, Savarino, F., Aström, F., and Schnörr, C., “Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment”, SIAM J. Imaging Science, vol. 11, pp. 1317–1362, 2018.

F. Aström, Petra, S., Schmitzer, B., and Schnörr, C., “Image Labeling by Assignment”, J. Math. Imag. Vision, vol. 58, pp. 211–238, 2017.

M. Frank and Hamprecht, F. A., “Image-Based Supervision of a Periodically Working Machine”, Pattern Analysis and Applications, pp. 1-10, 2011.

Technical Report (466.61 KB)

B. Jähne, Klinke, J., and Waas, S., “Imaging of short ocean wind waves: a critical theoretical review”, J. Opt. Soc. Am. A, vol. 11, p. 2197--2209, 1994.

E. Meijering, Carpenter, A. E., Peng, H., Hamprecht, F. A., and Olivo-Marin, J., “Imagining the future of bioimage analysis”, Nature Biotechnology, vol. 34, no. 12, pp. 1250-1255, 2016.

Technical Report (924.57 KB)

Y. Censor, Gibali, A., Lenzen, F., and Schnörr, C., “The Implicit Convex Feasibility Problem and Its Application to Adaptive Image Denoising”, J. Comp. Math., vol. 34, pp. 608-623, 2016.

A. Biller, Badde, S., Nagel, A., Neumann, J. O., Wick, W., Hertenstein, A., Bendszus, M., Sahm, F., Benkhedah, N., and Kleesiek, J., “Improved Brain Tumor Classification by Sodium MR Imaging: Prediction of IDH Mutation Status and Tumor Progression”, American Journal of Neuroradiology, vol. 37 , pp. 66-73, 2016.

A. Sanakoyeu, Ma, P., Tschernezki, V., and Ommer, B., “Improving Deep Metric Learning by Divide and Conquer”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.

D. Kiefhaber, Zappa, C. J., and Jähne, B., “Influence of natural surfactants on short wind waves in the coastal Peruvian waters”, vol. 12, pp. 1291–1325, 2015.

H. Suhr, Wehnert, G., Schneider, K., Bittner, C., Scholz, T., Geißler, P., Jähne, B., and Scheper, T., “In-situ microscopy for on-line characterization of cell-populations in bioreactors, including concentration measurements by depth from focus”, Biotechnology and Bioengineering, vol. 47, p. 106--116, 1995.

S. Wolf, Hamprecht, F. A., and Funke, J., “Instance Separation Emerges from Inpainting”, arXiv preprint arXiv:2003.00891, 2020.

L. M. Schütz, Louveaux, M., Vilches-Barro, A., Bouziri, S., Cerrone, L., Wolny, A., Kreshuk, A., Hamprecht, F. A., and Maizel, A., “Integration of Cell Growth and Asymmetric Division during Lateral Root Initiation in Arabidopsis thaliana”, Plant and Cell Physiology, vol. 62, no. 8, pp. 1269-1279, 2021.

J. Gall, Potthoff, J., Schnörr, C., Rosenhahn, B., and Seidel, H. - P., “Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications”, J.~Math.~Imag.~Vision, vol. 28, p. 1--18, 2007.

Technical Report (1.11 MB)

J. Gall, Potthoff, J., Schnörr, C., Rosenhahn, B., and Seidel, H. - P., “Interacting and Annealing Particle Filters: Mathematics and a Recipe for Applications”, J. Math. Imag. Vision, vol. 28, pp. 1–18, 2007.

C. Rother and Kolmogorov, V., “Interactive foreground extraction using graph cut”, Advances in Markov \ldots, pp. 1–20, 2011.

L. Ding and Yilmaz, A., “Interactive image segmentation using probabilistic hypergraphs”, Pattern Recognition, vol. 43, pp. 1863–1873, 2010.

M. Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., “Intercontinental transport of nitrogen oxide pollution plumes”, Atmos. Chem. Phys., vol. 3, p. 387--393, 2003.

M. Wenig, Spichtinger, N., Stohl, A., Held, G., Beirle, S., Wagner, T., Jähne, B., and Platt, U., “Intercontinental transport of nitrogen oxide pollution plumes”, acpd, vol. 3, p. 2151--2165, 2002.

J. Kunz and Jähne, B., “Investigating small scale air-sea exchange processes via thermography”, Front. Mech. Eng., vol. 26, 2018.

S. I. Friman and Jähne, B., “Investigating SO2 transfer across the air–water interface via LIF”, Exp. Fluids, vol. 60, p. 65, 2019.

B. Jähne, Libner, P., Fischer, R., Billen, T., and Plate, E. J., “Investigating the transfer process across the free aqueous boundary layer by the controlled flux method”, Tellus, vol. 41B, p. 177--195, 1989.

U. Schimpf, Garbe, C. S., and Jähne, B., “Investigation of transport processes across the sea surface microlayer by infrared imagery”, J. Geophys. Res., vol. 109, p. C08S13, 2004.

W. S. Broecker, Ledwell, J. R., Takahashi, T., Weiss, R., Merlivat, L., Memery, L., Jähne, B., and Münnich, K. O., “Isotopic versus micrometeorologic ocean CO$_2$ fluxes: A serious conflict”, J. Geophys. Res., vol. 91, p. 10517--10528, 1986.

A. Stefanoiu, Weinmann, A., Storath, M., Navab, N., and Baust, M., “Joint Segmentation and Shape Regularization with a Generalized Forward Backward Algorithm”, IEEE Transactions on Image Processing, vol. 25, no. 7, pp. 3384 - 3394, 2016.

Technical Report (3.55 MB)

F. Diego, Serrat, J., and López, A. M., “Joint SpatioTemporal Alignment of Sequences”, IEEE Transactions on Multimedia (TMM), vol. PP (99), p. 1, 2012.

Technical Report (5.15 MB)

M. Storath, Weinmann, A., and Unser, M., “Jump-penalized least absolute values estimation of scalar or circle-valued signals”, Information and Inference, vol. 6, no. 3, pp. 225–245, 2017.

Technical Report (3.4 MB)

L. Fiaschi, Grosser, K. - H., Afonso, B., Zlatic, M., and Hamprecht, F. A., “Keeping Count: Leveraging Temporal Context to Count Heavily Overlapping Objects”, ISBI 2013.Proceedings, pp. 656-659, 2013.

Technical Report (711.68 KB)

B. Andres, Kappes, J. H., Köthe, U., and Hamprecht, F. A., “The Lazy Flipper: MAP Inference in Higher-Order Graphical Models by Depth-limited Exhaustive Search”, ArXiv e-prints, 2010.

Technical Report (625.06 KB)

R. Hühnerbein, Savarino, F., Petra, S., and Schnörr, C., “Learning Adaptive Regularization for Image Labeling Using Geometric Assignment”, preprint: arXiv, 2019.

H. Nickisch, Rother, C., Kohli, P., and Rhemann, C., “Learning an Interactive Segmentation System - Supplemental Material”, 2010.

M. Heiler and Schnörr, C., “Learning Sparse Representations by Non-Negative Matrix Factorization and Sequential Cone Programming”, J. Mach. Learning Res., vol. 7, pp. 1385–1407, 2006.

B. Ommer and Buhmann, J. M., “Learning the Compositional Nature of Visual Object Categories for Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 32, p. 501--516, 2010.

Technical Report (2.78 MB)

L. Fiaschi, Nair, R., Köthe, U., and Hamprecht, F. A., “Learning to Count with Regression Forest and Structured Labels”, ICPR 2012. Proceedings, pp. 2685-2688, 2012.

Technical Report (3.66 MB)

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