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M. Kirchner, Spatial extensions to self-modeling curve resolution, University of Heidelberg, 2004.
M. Kirchner, Renard, B. Y., Köthe, U., Pappin, D. J., Hamprecht, F. A., Steen, J. A. J., and Steen, H., Computational Protein Profile Similarity Screening for Quantitative Mass Spectrometry Experiments, Bioinformatics, vol. 26 (1), pp. 77-83, 2010.PDF icon Technical Report (380.19 KB)
M. Kirchner, Saussen, B., Steen, H., Steen, J. A. J., and Hamprecht, F. A., amsrpm: Robust Point Matching in Retention Time Alignment of LC/MS Data with R, Journal of Statistical Software, vol. 18, pp. 1-12, 2007.
M. Kirchner, Steen, J. A. J., Hamprecht, F. A., and Steen, H., MGFp: An Open Mascot Generic Format Parser Library Implementation, Journal of Proteome Research, vol. 9 (5), p. 27622763, 2010.PDF icon Technical Report (125.18 KB)
A. Kirillov, Schlesinger, D., Vetrov, D., Rother, C., and Savchynskyy, B., M-best-diverse labelings for submodular energies and beyond, in Advances in Neural Information Processing Systems, 2015, vol. 2015-Janua, pp. 613–621.
A. Kirillov, Schlesinger, D., Zheng, S., Savchynskyy, B., Torr, P. H. S., and Rother, C., Joint training of generic CNN-CRF models with stochastic optimization, in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2017, vol. 10112 LNCS, pp. 221–236.
A. Kirillov, Levinkov, E., Andres, B., Savchynskyy, B., and Rother, C., InstanceCut: From edges to instances with MultiCut, in Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017, 2017, vol. 2017-Janua, pp. 7322–7331.
A. Kirillov, Savchynskyy, B., Schlesinger, D., Vetrov, D., and Rother, C., Inferring M-best diverse labelings in a single one, in Proceedings of the IEEE International Conference on Computer Vision, 2015, vol. 2015 Inter, pp. 1814–1822.
D. S. Kirk, Sellen, A. J., Rother, C., and Wood, K. R., Understanding photowork, in Conference on Human Factors in Computing Systems - Proceedings, 2006, vol. 2, pp. 761–770.
E. Kirschbaum, Bailoni, A., and Hamprecht, F. A., DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging, MICCAI. Proceedings. pp. 151-162, 2020.
E. Kirschbaum, Haußmann, M., Wolf, S., Sonntag, H., Schneider, J., Elzoheiry, S., Kann, O., Durstewitz, D., and Hamprecht, F. A., LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos, ICLR. Proceedings. 2019.
E. Kirschbaum, Novel Machine Learning Approaches for Neurophysiological Data Analysis. Heidelberg University, 2019.
J. Klappstein, Optical-Flow based Detection of Moving Objects in Traffic Scenes. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2008.
M. Klar, Design of an endoscopic 3D Particle-Tracking Velocimetry system and its application in flow measurements within a gravel layer. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2005.
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.
M. Klar, Jehle, M., Jähne, B., Detert, M., and H., J. G., Analysis of subsurface gravel layer flow caused by turbulent open-channel flow using 3D PTV and pressure sensor techniques, in BAW-Workshop Soil and Bed Stability - Interaction Effects between Geotechnics and Hydraulic Engineering, 2004.
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.
M. Klar, Stybalkowski, P., Spies, H., and Jähne, B., A miniaturized 3-D particle-tracking velocimetry system to measure the pore flow within a gravel layer, in Proc. 11th Int. Symp. Applications of Laser Techniques to Fluid Mechanics, 2002, p. 2.3.
M. Klar, Jehle, M., Detert, M., Jirka, G. H., Jähne, B., Köhler, H. - J., and Wenka, T., Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer, in Proc. of River Flow 2004, 2004, p. 703--712.
J. Kleesiek, Urban, G., Hubert, A., Schwarz, D., Maier-Hein, K., Bendszus, M., and Biller, A., Deep MRI brain extraction: A 3D convolutional neural network for skull stripping., NeuroImage, vol. 129, pp. 460-469, 2016.PDF icon Technical Report (1.14 MB)
J. Kleesiek, Petersen, J., Döring, M., Maier-Hein, K., Köthe, U., Wick, W., Hamprecht, F. A., Bendszus, M., and Biller, A., Virtual Raters for Reproducible and Objective Assessments in Radiology, Nature Scientific Reports, vol. 6, 2016.PDF icon Technical Report (2.81 MB)
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.
J. Kleesiek, Biller, A., Urban, G., Köthe, U., Bendszus, M., and Hamprecht, F. A., ilastik for Multi-modal Brain Tumor Segmentation, in MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace, 2014, pp. 12-17.PDF icon Technical Report (405.91 KB)
A. Klein, The Fetch Dependency of Small-Scale Air-Sea Interaction Processes at Low to Moderate Wind Speeds, vol. Dissertation. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, Heidelberg, 2019.
R. Klein, Entwicklung einer Videoaufnahmetechnik und eines Computerbildauswertungsverfahren zur Aufnahme und Auswertung von Blasenverteilungen, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1988.
O. Klimm, Einfluss von Bodenalbedo und Wolkenbedeckung auf satellitengestützte O$_4$-Spurenstoffmessungen, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. \ Heidelberg, 2000.
J. Klinke, Optical Measurements of Small-Scale Wind Generated Water Surface Waves in the Laboratory and the Field. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1996.
J. Klinke, Zweidimensionale Wellenzahlspektren von kleinskaligen winderzeugten Wasseroberflächenwellen, Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 1991.
J. Klinke and Jähne, B., Wave number spectra of short wind waves: implications from laboratory studies, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 367--372.
J. Klinke and Jähne, B., 2D wave number spectra of short wind waves: results from wind-wave facilities and extrapolation to the ocean, in Optics of the Air-Sea Interface: Theory and Measurement, 1992, vol. 1749, pp. 245-257.
J. Klinke, Jähne, B., and Jähne, B., Measurements of short ocean waves during the MBL ARI West Coast Experiment, in Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer, 1995, p. 165--173.
J. Klinke and Jähne, B., Spatial measurement of short ocean waves during the MBL-ARI West Coast Experiment, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 390.
J. Klinke and Jähne, B., A new instrument for the optical measurement of the fine structure of the water surface in the field, in IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves, 1995, p. 388.
J. Klinke and Jähne, B., Measurements of the small-scale structure of the water surface with a new optical instrument, in Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994, 1994.
J. Klinke, Jähne, B., and Long, S. R., Observations of free and bound gravity-capillary Waves, in The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes, 1999, p. 87--88.

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