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Author Title [ Type(Desc)] Year
Journal Article
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. 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)
W. Hinterberger, Scherzer, O., Schnörr, C., and Weickert, J., “Analysis of Optical Flow Models in the Framework of Calculus of Variations”, Numer. Funct. Anal. Optimiz., vol. 23, pp. 69–89, 2002.
M. Jäger, Kiel, A., Herten, D. - P., and Hamprecht, F. A., “Analysis of Single-Molecule Fluorescence Spectroscopic Data with a Markov Modulated Poisson Process”, ChemPhysChem, vol. 10:14, pp. 2486-2495, 2009.
N. Gianniotis, Schnörr, C., Molkenthin, C., and Bora, S. S., “Approximate variational inference based on a finite sample of Gaussian latent variables”, Patt.~Anal.~Appl., 2015.PDF icon Technical Report (1.4 MB)
M. Horn, “Arriving at Z / f”, pp. 1–2, 2014.
A. Krull, Hirsch, P., Rother, C., Schiffrin, A., and Krull, C., “Artificial-intelligence-driven scanning probe microscopy”, Communications Physics, vol. 3, 2020.
D. Sitenko, Boll, B., and Schnörr, C., “Assignment Flow For Order-Constrained OCT Segmentation”, Int J Computer Vision, vol. 129, 2021.
A. Zern, Zeilmann, A., and Schnörr, C., “Assignment Flows for Data Labeling on Graphs: Convergence and Stability”, preprint: arXiv, 2020.
A. - S. Wahl, Omlor, W., Rubio, J. C., Chen, J. L., Zheng, H., Schröter, A., Gullo, M., Weinmann, O., Kobayashi, K., Helmchen, F., Ommer, B., and Schwab, M. E., “Asynchronous Therapy Restores Motor Control by Rewiring of the Rat Corticospinal Tract after Stroke”, Science, vol. 344, p. 1250--1255, 2014.
S. Lang and Ommer, B., “Attesting Similarity: Supporting the Organization and Study of Art Image Collections with Computer Vision”, Digital Scholarship in the Humanities, Oxford University Press, vol. 33, no. 4, pp. 845-856, 2018.
H. Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., “Augmented Reality Meets Computer Vision”, International Journal of Computer Vision, vol. In press, pp. 1–13, 2018.
H. Abu Alhaija, Mustikovela, S. K., Mescheder, A., Geiger, C., and Rother, C., “Augmented Reality Meets Computer Vision Efficient Data Generation for Urban Driving Scenes”, IJCV, pp. 1-12, 2018.PDF icon Technical Report (3.83 MB)
H. Abu Alhaija, Mustikovela, S. Karthik, Mescheder, L., Geiger, A., and Rother, C., “Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes”, International Journal of Computer Vision, vol. 126, pp. 961–972, 2018.
“Autocollage”, 2006.
A. Kreshuk, Stankiewicz, M., Lou, X., Kirchner, M., Hamprecht, F. A., and Mayer, M. P., “Automated detection and analysis of bimodal isotope peak distribution in H/D exchange mass spectrometry using HeXicon”, International Journal of Mass Spectrometry, vol. 302, pp. 125-131, 2010.PDF icon Technical Report (3.22 MB)
A. Kreshuk, Straehle, C. N., Sommer, C., Köthe, U., Cantoni, M., Knott, G. W., and Hamprecht, F. A., “Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images”, PLoS ONE, vol. 6 (10), 2011.PDF icon Technical Report (290.48 KB)
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)
B. Michael Kelm, Menze, B. H., Zechmann, C. M., Baudendistel, K. T., and Hamprecht, F. A., “Automated Estimation of Tumor Probability in Prostate MRSI: Pattern Recognition vs. Quantification”, Magnetic Resonance in Medicine, vol. 57, pp. 150-159, 2007.PDF icon Technical Report (348.05 KB)
F. Diego, Reichinnek, S., Both, M., and Hamprecht, F. A., “Automated Identification of Neuronal Activity from Calcium Imaging by Sparse Dictionary Learning”, ISBI 2013. Proceedings, pp. 1058-1061, 2013.PDF icon Technical Report (2.82 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. M. Zechmann, Menze, B. H., Kelm, B. Michael, Zamecnik, P., Ikinger, U., Waldherr, R., Delorme, S., Hamprecht, F. A., and Bachert, P., “Automated vs. manual pattern recognition of 3D 1H MRSI data of patients with prostate cancer”, Academic Radiology, vol. 19, 6, pp. 675-684, 2012.
J. Keuchel, Naumann, S., Heiler, M., and Siegmund, A., “Automatic Land Cover Analysis for Tenerife by Supervised Classification using Remotely Sensed Data”, Remote Sensing of Environment, 2002.
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)
M. Haußmann, Gerwinn, S., and Kandemir, M., “Bayesian Prior Networks with PAC Training”, arXiv preprint arXiv:1906.00816, 2019.
M. Hissmann and Hamprecht, F. A., “Bayesian surface estimation for white light interferometry”, Optical Engineering, vol. 44, pp. 1-9, 2005.PDF icon Technical Report (549.46 KB)
C. Kamann and Rother, C., “Benchmarking the Robustness of Semantic Segmentation Models”, 2019.
P. Yarlagadda and Ommer, B., “Beyond the Sum of Parts: Voting with Groups of Dependent Entities”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 37, p. 1134--1147, 2015.
K. Hansen, Rathke, F., Schroeter, T., Rast, G., Fox, T., Kriegl, J. M., and Mika, S., “Bias-correction of regression models: a case study on hERG inhibition”, J. Chem. Inf. Model., vol. 49, no. 6, pp. 1486–1496, 2009.
B. Voss, Stapf, J., Berthe, A., and Garbe, C. S., “Bichromatic Particle Streak Velocimetry bPSV -- Interfacial, v3C3D velocimetry using a single camera”, Exp. Fluids, 2012.
J. Fehr and Jähne, B., “Bilder berechnen - nicht nur aufnehmen”, Optik & Photonik, vol. 7, pp. 50-53, 2012.
J. Fehr and Jähne, B., “Bilder berechnen --- nicht nur aufnehmen : ``Computational Photography'' wird zunehmend interessant für die industrielle Bildverarbeitung”, Optik & Photonik, vol. 7, p. 50--53, 2012.
B. Jähne, “Bildverarbeitung für die Meeresforschung”, Ruperto Carola, p. 10--15, 1994.
J. Keuchel, Schnörr, C., Schellewald, C., and Cremers, D., “Binary Partitioning, Perceptual Grouping, and Restoration with Semidefinite Programming”, vol. 25, pp. 1364–1379, 2003.

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