Publications

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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
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)
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)
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.
U. Schimpf, Popp, C., and Jähne, B., Active thermography: a local and fast method to investigate heat and gas exchange between ocean and atmosphere, in Verhandlungen der Deutschen Physikalischen Gesellschaft, Spring Conference, Heidelberg, 15.-17.03.2006, 2006.
E. Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV, in Proc.~EMMCVPR, 2015, vol. 8932, p. 378--391.PDF icon Technical Report (951.37 KB)
E. Bodnariuc, Gurung, A., Petra, S., and Schnörr, C., Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV, in EMMCVPR, 2015.
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.
B. Jähne, Nielsen, R., Popp, C., Schimpf, U., and Garbe, C. S., Air-Sea Gas Transfer; Schmidt Number dependency and intermittency, in Presented at: International Liege Colloquium on Ocean Dynamics, Gas Transfer at Water Surfaces, 2005.
M. Hayn, Beirle, S., Hamprecht, F. A., Platt, U., Menze, B. H., and Wagner, T., Analysing spatio-temporal patterns of the global NO2-distribution retrieved frome GOME satellite observations using a generalized additive model, Atmospheric Chemistry and Physics, vol. 9, pp. 9367-9398, 2009.PDF icon Technical Report (2.52 MB)
P. Pavlov, Analysis of Motion in Scale Space. IWR, Fakultät für Mathematik und Informatik, Univ.\ Heidelberg, 2008.
C. Proß, Analysis of the Fetch Dependency of the Slope of Wind-Water Waves, Institut für Umweltphysik, Universität Heidelberg, Germany, 2016.
F. Aström, Petra, S., Schmitzer, B., and Schnörr, C., The Assignment Manifold: A Smooth Model for Image Labeling, in Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16; oral presentation; Grenander best paper award), 2016.
A. Kreshuk, Köthe, U., Pax, E., Bock, D. D., and Hamprecht, F. A., Automated Detection of Synapses in Serial Section Transmission Electron Microscopy Image Stacks, PLoS ONE, vol. 9, p. 2, 2014.PDF icon Technical Report (16.66 MB)
R. Mikut, Dickmeis, T., Driever, W., Geurts, P., Hamprecht, F. A., Kausler, B. X., Ledesma-Carbayo, M., Marée, R., Mikula, K., Pantazis, P., Ronneberger, O., Santos, A., and Stotzka, R., Automated Processing of Zebrafish Imaging Data: A Survey, Zebrafish, vol. 10 (3), 2013.PDF icon Technical Report (1.73 MB)
A. Kreshuk, Walecki, R., Köthe, U., Gierthmühlen, M., Plachta, D., Genoud, C., Haastert-Talini, K., and Hamprecht, F. A., Automated Tracing of Myelinated Axons and Detection of the Nodes of Ranvier in Serial Images of Peripheral Nerves, Journal of Microscopy, vol. 259 (2), pp. 143-154, 2015.
C. Pape, Automatic Segmentation of Neurites from Anisotropic EM-Imaging, University of Heidelberg, 2016.
T. Prange, Automatic Segmentation of Neurons in Electron Microscopy Data with Membrane Defects, University of Heidelberg, 2016.
S. Petra and Schnörr, C., Average Case Recovery Analysis of Tomographic Compressive Sensing, Linear Algebra and its Applications, vol. 441, pp. 168-198, 2014.PDF icon Technical Report (1.85 MB)
B
J. Giebel, Gavrila, D. M., and Schnörr, C., A Bayesian Framework for Multi-cue 3D Object Tracking, in Computer Vision – ECCV 2004, 2004, vol. 3024, pp. 241-252.
M. Prokop, Bestimmung Physiologischer Parameter von Pflanzen mittels Digitaler Bildverarbeitung, IWR, Fakultät für Physik und Astronomie, Univ.\ Heidelberg, 2000.
D. Wierzimok, Jähne, B., and Dengler, J., Bildfolgenanalyse dreidimensionaler turbulenter Strömungen, in Proc. 9. DAGM-Symposium zur Mustererkennung 1987, 1987, vol. 149, p. 288.
M. C. Scholes, Matrai, P. A., Andreae, M. O., Smith, K. A., Manning, M. R., Artaxo, P., Barrie, L. A., Bates, T. S., Butler, J. H., Ciccioli, P., Cieslik, S. A., Delmas, R. J., and Dentener, F. J., Biosphere-Atmosphere Interactions, Atmospheric Chemistry in a Changing World, An Integration and Synthesis of a Decade of Tropospheric Chemistry Research. Springer, p. 19--71, 2003.
M. C. Scholes, Matrai, P. A., Andreae, M. O., Smith, K. A., Manning, M. R., Artaxo, P., Barrie, L. A., Bates, T. S., Butler, J. H., Ciccioli, P., Cieslik, S. A., Delmas, R. J., and Dentener, F. J., Biosphere-Atmosphere Interactions, Atmospheric Chemistry in a Changing World, An Integration and Synthesis of a Decade of Tropospheric Chemistry Research. Springer, p. 19--71, 2003.
A. L. Bendinger, Debus, C., Glowa, C., Karger, C. P., Peter, J., and Storath, M., Bolus arrival time estimation in dynamic contrast-enhanced magnetic resonance imaging of small animals based on spline models, in press, Physics in Medicine and Biology, vol. 64, no. 4, 2019.
S. Petra, Schnörr, C., Becker, F., and Lenzen, F., B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) 2013, 2013, vol. 7893, pp. 110-124.PDF icon Technical Report (1.15 MB)
S. Petra, Schnörr, C., Becker, F., and Lenzen, F., B-SMART: Bregman-Based First-Order Algorithms for Non-Negative Compressed Sensing Problems, in Proceedings of the 4th International Conference on Scale Space and Variational Methods in Computer Vision SSVM, 2013, pp. 110-124.
C
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.
F. Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., A Class of Quasi-Variational Inequalities for Adaptive Image Denoising and Decomposition, Computational Optimization and Applications (COAP), vol. 54 (2), pp. 371-398, 2013.
F. Lenzen, Becker, F., Lellmann, J., Petra, S., and Schnörr, C., A class of quasi-variational inequalities for adaptive image denoising and decomposition, Computational Optimization and Applications, vol. 54, pp. 371-398, 2013.PDF icon Technical Report (748.66 KB)
M. Wenig, Leue, C., Platt, U., Jähne, B., and Haußecker, H., Cloud classification analyzing image sequences, Computer Vision and Applications. A Guide for Students and Practitioners. Academic Press, p. 652--653, 2000.
M. F. Carlsohn, Menze, B. H., Kelm, B. Michael, Hamprecht, F. A., Kercek, A., Leitner, R., and Polder, G., Color image processing, vol. 7(17), R. Lukac and Plataniotis, K. N., Eds. CRC Press, 2006, pp. 393-419.
M. F. Carlsohn, Menze, B. H., Kelm, B. Michael, Hamprecht, F. A., Kercek, A., Leitner, R., and Polder, G., Color image processing, vol. 7(17), R. Lukac and Plataniotis, K. N., Eds. CRC Press, 2006, pp. 393-419.
S. Waas and Jähne, B., Combined height/slope/curvature measurements of short ocean wind waves, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 383--388.
F. Hering, Wierzimok, D., Melville, W. K., and Jähne, B., Combined wave and flow field visualization for investigation of short-wave/long-wave interaction, in Proc.\ The Air-Sea Interface, Radio and Acoustic Sensing, Turbulence and Wave Dynamics, Marseille, 24--30. June 1993, 1996, p. 133--138.

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