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C. Kräuter, “Aufteilung des Transferwiderstands zwischen Luft und Wasser beim Austausch flüchtiger Substanzen mittlerer Löslichkeit zwischen Ozean und Atmosphäre”, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2011.
C. Kräuter, “Visualization of air-water gas exchange”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2015.
C. Kräuter, Trofimova, D., Nagel, L., and Jähne, B., “High-resolution 2-D fluorescence imaging of gas transfer at a free water surface”, in Ocean Science Meeting, 23--28. 02. 2014, Honolulu Hawaii, 2014.
G. Krause, “Correlation of Performance and Entropy in Active Learning with Convolutional Neural Networks”, Heidelberg University, 2017.
S. Kraus, “DOASIS a framework design for DOAS”. Technische Informatik, Univ.\ Mannheim, 2006.
S. Kraus, “DOASIS a framework design for DOAS”. Technische Informatik, Univ. Mannheim, 2006.
N. Krasowski, “Automated Segmentation for Connectomics Utilizing Higher-Order Biological Priors”. University of Heidelberg, 2016.
N. Krasowski, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A., “Improving 3D EM Data Segmentation by Joint Optimization over Boundary Evidence and Biological Priors”, in 12th {IEEE} International Symposium on Biomedical Imaging, {ISBI} 2015, Brooklyn, NY, USA, April 16-19, 2015, 2015, pp. 536-539.PDF icon Technical Report (2.25 MB)
N. Krasowki, Beier, T., Knott, G. W., Köthe, U., Hamprecht, F. A., and Kreshuk, A., “Neuron Segmentation with High-Level Biological Priors”, IEEE Transactions on Medical Imaging, vol. 37, no. 4, 2017.
K. Ellen Krall and Jähne, B., “First air-sea gas exchange laboratory study at hurricane wind speeds”, Ocean Sci. Discuss., vol. 10, p. 1971--1996, 2013.
K. Ellen Krall, Schneider-Zapf, K., Reith, S., Kiefhaber, D., and Jähne, B., “Air-sea gas exchange under nature-like surfactant influence in the lab”, in 7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014, 2014.
K. E. Krall, Smith, A. W., Takagaki, N., and Jähne, B., “Air–sea gas exchange at wind speeds up to 85 m/s”, Ocean Science, vol. 15, p. 1783-–1799, 2019.
K. E. Krall, “Laboratory Investigations of Air-Sea Gas Transfer under a Wide Range of Water Surface Conditions”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2013.
K. Ellen Krall, “Gas Exchange Test Campaign at the Kyoto High Speed Wind-Wave Tank 2011”, Institut für Umweltphysik, Universität Heidelberg, 2012.
K. Ellen Krall and Jähne, B., “First laboratory study of air-sea gas exchange at hurricane wind speeds”, Ocean Sci., vol. 10, p. 257--265, 2014.
K. Ellen Krall and Jähne, B., “Air-sea gas exchange and momentum transfer: turbulence and Schmidt number dependency”, in 7th SOPRAN Annual Meeting, Bremen, Germany, 25-26 March 2014, 2014.
N. Krah, Testa, M., Brons, S., Jäkel, O., Parodi, K., Voss, B., and Rinaldi, I., “An advanced image processing method to improve the spatial resolution of ion radiographies”, Physics in Medicine and Biology, vol. 60, p. 8525, 2015.
N. Krah, “Visualization of air and water-sided concentration profiles in laboratory gas exchange experiments”, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2014.
D. Kotovenko, Sanakoyeu, A., Lang, S., Ma, P., and Ommer, B., “Using a Transformation Content Block For Image Style Transfer”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2019.
D. Kotovenko, Sanakoyeu, A., Lang, S., and Ommer, B., “Content and Style Disentanglement for Artistic Style Transfer”, in Proceedings of the Intl. Conf. on Computer Vision (ICCV), 2019.
D. Kotovenko, Wright, M., Heimbrecht, A., and Ommer, B., “Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes”, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2021.
U. Köthe, “What Can We Learn from Discrete Images about the Continuous World”, Discrete Geometry for Computer Imagery, vol. 4992. Springer, pp. 4-19, 2008.
U. Köthe, Herrmannsdörfer, F., Kats, I., and Hamprecht, F. A., “SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy”, Histochemistry and Cell Biology, vol. 141, pp. 613-627, 2014.PDF icon Technical Report (2.29 MB)
U. Köthe, Andres, B., Kröger, T., and Hamprecht, F. A., “Geometric Analysis of 3D Electron Microscopy Data”, in Proceedings of Workshop on Discrete Geometry and Mathematical Morphology (WADGMM), 2010, pp. 22-26.PDF icon Technical Report (1.43 MB)
U. Köthe, “Reliable Low-Level Image Analysis”, Habilitation thesis. Department Informatik, University of Hamburg, Hamburg, 2008.PDF icon Technical Report (12.44 MB)
L. Kostrykin, Schnörr, C., and Rohr, K., “Segmentation of Cell Nuclei Using Intensity-Based Model Fitting and Sequential Convex Programming”, in Proc. ISBI, 2018.
L. Kostrykin, Schnörr, C., and Rohr, K., “Globally Optimal Segmentation of Cell Nuclei in Fluoroscence Microscopy Images using Shape and Intensity Information”, Medical Image Analysis, 2019.
T. König, Hamprecht, F. A., and Kücherer, H., “On the Application of Multiscale Motion Estimation in Intravascular Elastography”, University of Heidelberg, 2005.
T. König, Menze, B. H., Kirchner, M., Monigatti, F., Parker, K. C., Patterson, T., Steen, J. J., Hamprecht, F. A., and Steen, H., “Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics”, Journal of Proteome Research, vol. 7, pp. 3708-3717, 2008.PDF icon Technical Report (1.16 MB)
T. König, “Quality Control in Mass Spectrometry”, University of Heidelberg, 2007.
D. Kondermann, Nair, R., Meister, S., Mischler, W., Güssefeld, B., Honauer, K., Hofmann, S., Brenner, C., and Jähne, B., “Stereo Ground Truth with Error Bars”, in Computer Vision – ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part V, Cham: Springer International Publishing, 2015, pp. 595–610.
C. Kondermann, Kondermann, D., and Garbe, C. S., “Postprocessing of optical flows via surface measures and motion inpainting”, in Pattern Recognition, 2008, vol. 5096, p. 355--364.
D. Kondermann, Nair, R., Honauer, K., Krispin, K., Andrulis, J., Brock, A., Güssefeld, B., Rahimimoghaddam, M., Hofmann, S., Brenner, C., and Jähne, B., “The HCI Benchmark Suite: Stereo and Flow Ground Truth With Uncertainties for Urban Autonomous Driving”, in The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2016.
C. Kondermann, “Postprocessing and Restoration of Optical Flows”. IWR, Fakultät für Mathematik und Informatik, Univ. Heidelberg, 2009.
C. Kondermann, Mester, R., and Garbe, C. S., “A statistical confidence measure for optical flows”, in Proceedings of the ECCV, 2008, vol. 5304, p. 290--301.

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