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Kluger, F, Brachmann, E, Ackermann, H, Rother, C, Yang, M Ying and Rosenhahn, B (2020). CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus. CVPR 2020. http://arxiv.org/abs/2001.02643

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Klinke, J (1996). 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

Klinke, J (1991). Zweidimensionale Wellenzahlspektren Von Kleinskaligen Winderzeugten Wasseroberflächenwellen. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Klinke, J and Jähne, B (1996). Wave number spectra of short wind waves: implications from laboratory studies. Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993. RSMAS, University of Miami. 367--372

Klinke, J and Jähne, B (1992). 2D wave number spectra of short wind waves: results from wind-wave facilities and extrapolation to the ocean. Optics of the Air-Sea Interface: Theory and Measurement. 1749 245-257

Klinke, J, Jähne, B and Jähne, B (1995). Measurements of short ocean waves during the MBL ARI West Coast Experiment. Air-Water Gas Transfer, Selected Papers, 3rd Intern. Symp. on Air-Water Gas Transfer. AEON. 165--173

Klinke, J and Jähne, B (1995). Spatial measurement of short ocean waves during the MBL-ARI West Coast Experiment. IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves. 390

Klinke, J and Jähne, B (1995). A new instrument for the optical measurement of the fine structure of the water surface in the field. IAPSO Proceedings, XXI General Assembly, Honolulu, Hawai, August 1995, PS-10 Spatial Structure of Short Ocean Waves. 388

Klinke, J and Jähne, B (1994). Measurements of the small-scale structure of the water surface with a new optical instrument. Proc. 2nd Inter. Conf. on Air-Sea Interaction and on Meteorology and Oceanography of the Coastal Zone, Lisbon, 22.--27. September 1994

Klinke, J, Jähne, B and Long, S R (1999). Observations of free and bound gravity-capillary Waves. The Wind-Driven Air-Sea Interface, Electromagnetic and Acoustic Sensing, Wave Dynamics and Turbulent Fluxes. 87--88

Klinke, J, Kudryavtsev, V N, Makin, V K and Jähne, B (2001). Wavenumber Spectra of Short Wind Waves: Laboratory Measurements and Interpretation. IGARSS '01, Geoscience and Remote Sensing Symposium, Sydney, NSW, Australia. 2 965-967

Klinke, J and Long, S R (2000). Generation of short waves by wave-current interaction. Geoscience and Remote Sensing Symposium, 2000. Proceedings. IGARSS 2000. IEEE 2000 International. 1084--1086

Klimm, O (2000). Einfluss Von Bodenalbedo Und Wolkenbedeckung Auf Satellitengestützte O$_4$-Spurenstoffmessungen. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. \ Heidelberg

Klein, R (1988). Entwicklung Einer Videoaufnahmetechnik Und Eines Computerbildauswertungsverfahren Zur Aufnahme Und Auswertung Von Blasenverteilungen. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Klein, A (2019). The Fetch Dependency of Small-Scale Air-Sea Interaction Processes at Low to Moderate Wind Speeds. Institut für Umweltphysik, Fakultät für Physik und Astronomie, Univ. Heidelberg, Heidelberg. Dissertation

Kleesiek, J, 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 (2019). Can Virtual Contrast Enhancement in Brain MRI Replace Gadolinium?: A Feasibility Study. Investigative Radiology. 54 653–660

Kleesiek, J, Biller, A, Urban, G, Köthe, U, Bendszus, M and Hamprecht, F A (2014). ilastik for Multi-modal Brain Tumor Segmentation. MICCAI BraTS (Brain Tumor Segmentation) Challenge. Proceedings, 3rdplace. 12-17

Technical Report (405.91 KB)

Kleesiek, J, Urban, G, Hubert, A, Schwarz, D, Maier-Hein, K, Bendszus, M and Biller, A (2016). Deep MRI brain extraction: A 3D convolutional neural network for skull stripping.. NeuroImage. 129 460-469

Technical Report (1.14 MB)

Kleesiek, J, Petersen, J, Döring, M, Maier-Hein, K, Köthe, U, Wick, W, Hamprecht, F A, Bendszus, M and Biller, A (2016). Virtual Raters for Reproducible and Objective Assessments in Radiology. Nature Scientific Reports. 6

Technical Report (2.81 MB)

Klar, M (2005). 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. http://www.ub.uni-heidelberg.de/archiv/5961

Klar, M (2001). 3D Particle-Tracking Velocimetry Applied To Turbulent Open-Channel Flow Over A Gravel Layer. IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg

Klar, M, Jehle, M, Jähne, B, Detert, M and H., J G (2004). Analysis of subsurface gravel layer flow caused by turbulent open-channel flow using 3D PTV and pressure sensor techniques. BAW-Workshop Soil and Bed Stability - Interaction Effects between Geotechnics and Hydraulic Engineering

Klar, M, Stybalkowski, P, Spies, H and Jähne, B (2002). 3D-Strömungsmessung in Kiesporen. Nahbereichsphotogrammetrie in der Praxis, Beispiele und Problemlösungen. Wichmann. 247--250. http://d-nb.info/96618503X

Klar, M, Stybalkowski, P, Spies, H and Jähne, B (2002). A miniaturized 3-D particle-tracking velocimetry system to measure the pore flow within a gravel layer. Proc. 11th Int. Symp. Applications of Laser Techniques to Fluid Mechanics. 2.3. http://in3.dem.ist.utl.pt/lxlaser2002/papers.asp

Klar, M, Jehle, M, Detert, M, Jirka, G H, Jähne, B, Köhler, H - J and Wenka, T (2004). Simultaneous 3D PTV and micro-pressure sensor equipment for flow analysis in subsurface gravel layer. Proc. of River Flow 2004. A. A. Balkema Publishers. 703--712

Klappstein, J (2008). Optical-Flow based Detection of Moving Objects in Traffic Scenes. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg. http://www.ub.uni-heidelberg.de/archiv/8591/

Kirschbaum, E, Haußmann, M, Wolf, S, Sonntag, H, Schneider, J, Elzoheiry, S, Kann, O, Durstewitz, D and Hamprecht, F A (2019). LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos. ICLR. Proceedings

Kirschbaum, E (2019). Novel Machine Learning Approaches for Neurophysiological Data Analysis. Heidelberg University

Kirschbaum, E, Bailoni, A and Hamprecht, F A (2020). DISCo: Deep Learning, Instance Segmentation, and Correlations for Cell Segmentation in Calcium Imaging. MICCAI. Proceedings. 151-162

Kirk, D S, Sellen, A J, Rother, C and Wood, K R (2006). Understanding photowork. Conference on Human Factors in Computing Systems - Proceedings. 2 761–770

Kirillov, A, Schlesinger, D, Vetrov, D, Rother, C and Savchynskyy, B (2015). M-best-diverse labelings for submodular energies and beyond. Advances in Neural Information Processing Systems. 2015-Janua 613–621

Kirillov, A, Schlesinger, D, Zheng, S, Savchynskyy, B, Torr, P H S and Rother, C (2017). Joint training of generic CNN-CRF models with stochastic optimization. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 10112 LNCS 221–236. http://host.robots.ox.ac.uk:8080/leaderboard

Kirillov, A, Levinkov, E, Andres, B, Savchynskyy, B and Rother, C (2017). InstanceCut: From edges to instances with MultiCut. Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. 2017-Janua 7322–7331

Kirillov, A, Savchynskyy, B, Schlesinger, D, Vetrov, D and Rother, C (2015). Inferring M-best diverse labelings in a single one. Proceedings of the IEEE International Conference on Computer Vision. 2015 Inter 1814–1822

Kirchner, M (2008). Analysis of Spectral Data. University of Heidelberg

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