Publications

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Journal Article
B. Y. Renard, Timm, W., Kirchner, M., Steen, J. A. J., Hamprecht, F. A., and Steen, H., Estimating the Confidence of Peptide Identifications without Decoy Databases, Analytical Chemistry, pp. 4314-4318, 2010.PDF icon Technical Report (619.11 KB)
B. Michael Kelm, Menze, B. H., Nix, O., Zechmann, C. M., and Hamprecht, F. A., Estimating Kinetic Parameter Maps from Dynamic Contrast-Enhanced MRI using Spatial Prior Knowledge, IEEE Transaction on Medical Imaging, vol. 28:10, pp. 1534-1547, 2009.PDF icon Technical Report (419.8 KB)
B. Andres, Kondermann, C., Kondermann, D., Köthe, U., Hamprecht, F. A., and Garbe, C. S., On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation, Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, pp. 1-6, 2008.PDF icon Technical Report (1.58 MB)
T. M. Hehn, Kooij, J. F. P., and Hamprecht, F. A., End-to-End Learning of Decision Trees and Forests, International Journal of Computer Vision, vol. 128, pp. 997-1011, 2020.
M. P. Lichy, Bachert, P., Hamprecht, F. A., Weber, M. - A., Debus, J., Schulz-Ertner, D., Kauczor, H. - U., and Schlemmer, H. - P., Einsatz der 1H-MR-spektroskopischen Bildgebung in der Strahlentherapie: Cholin als Marker für die Bestimmung der relativen Wahrscheinlichkeit eines Tumorprogresses nach Bestrahlung glialer Hirntumoren, Zeitung für Röntgenforschung, vol. 178, pp. 627-633, 2006.
J. Funke, Andres, B., Hamprecht, F. A., Cardona, A., and Cook, M., Efficient Automatic 3D-Reconstruction of Branching Neurons from EM Data, CVPR 2012. Proceedings, pp. 1004-1011, 2012.PDF icon Technical Report (1.64 MB)
V. Uhlmann, Haubold, C., Hamprecht, F. A., and Unser, M., Diverse Shortest Paths for Bioimage Analysis, Bioinformatics, pp. 1-3, 2017.
A. Vijayan, Tofanelli, R., Strauss, S., Cerrone, L., Wolny, A., Strohmeier, J., Kreshuk, A., Hamprecht, F. A., Smith, R. S., and Schneitz, K., A Digital 3D Reference Atlas Reveals Cellular Growth Patterns Shaping the Arabidopsis Ovule, eLife, 2021.
J. A. J. Steen, Steen, H., Georgi, A., Parker, K. C., Springer, M., Kirchner, M., Hamprecht, F. A., and Kirschner, M. W., Different Phosphorylation States of the Anaphase Promoting Complex in Response to Anti-Mitotic Drugs: A Quantitative Proteomic Analysis, Proceedings of the National Academy of Sciences, vol. 105, pp. 6069-6074, 2008.PDF icon Technical Report (173.02 KB)
F. A. Hamprecht, Cohen, A. J., Tozer, D. J., and Handy, N. C., Development and assessment of new exchange-correlation functionals, Journal of Chemical Physics, vol. 109, pp. 6264-6271, 1998.
X. Lou, Kirchner, M., Renard, B. Y., Köthe, U., Graf, C., Lee, C., Steen, J. A. J., Steen, H., Mayer, M. P., and Hamprecht, F. A., Deuteration Distribution Estimation with Improved Sequence Coverage for HX/MS Experiments, Bioinformatics, vol. 26(12), pp. 1535-1541, 2010.PDF icon Technical Report (518.01 KB)
M. Frank, Plaue, M., and Hamprecht, F. A., Denoising of Continuous-Wave Time-Of-Flight Depth Images Using Confidence Measures, Optical Engineering, vol. 48, 077003, 2009.PDF icon Technical Report (2.5 MB)
B. Maco, Holtmaat, A., Cantoni, M., Kreshuk, A., Straehle, C. N., Hamprecht, F. A., and Knott, G. W., Correlative in vivo 2 photon and focused ion beam scanning electron microscopy of cortical neurons, PloS one, vol. 8 (2), 2013.PDF icon Technical Report (2.13 MB)
M. Hanselmann, Kirchner, M., Renard, B. Y., Amstalden, E. R., Glunde, K., Heeren, R. M. A., and Hamprecht, F. A., Concise Representation of MS Images by Probabilistic Latent Semantic Analysis, Analytical Chemistry, vol. 80, pp. 9649-9658, 2008.PDF icon Technical Report (3.91 MB)
M. Kandemir and Hamprecht, F. A., Computer-aided diagnosis from weak supervision: A benchmarking study, Computerized Medical Imaging and Graphics, vol. 42, pp. 44-50, 2014.PDF icon Technical Report (4.28 MB)
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)
B. H. Menze, Kelm, B. Michael, Masuch, R., Himmelreich, U., Bachert, P., Petrich, W., and Hamprecht, F. A., A Comparison of Random Forest and its Gini Importance with Standard Chemometric Methods for the Feature Selection and Classification of Spectral Data, BMC Bioinformatics, vol. 10:213, 2009.PDF icon Technical Report (675 KB)
C. Weber, Zechmann, C. M., Kelm, B. Michael, Zamecnik, R., Hendricks, D., Waldherr, R., Hamprecht, F. A., Delorme, S., Bachert, P., and Ikinger, U., Comparison of correctness of manuel and automatic evaluation of MR-spectrum with prostrate cancer, Der Urologe, vol. 46, p. 1252, 2007.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, CoRR, 2014.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, CoRR, vol. abs/1404.0533, 2014.PDF icon Technical Report (3.32 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, pp. 1-30, 2015.PDF icon Technical Report (1.5 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, Int.~J.~Comp.~Vision, 2015.PDF icon Technical Report (5.12 MB)
J. H. Kappes, Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., Kim, S., Kausler, B. X., Kröger, T., Lellmann, J., Komodakis, N., Savchynskyy, B., and Rother, C., A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems, International Journal of Computer Vision, vol. 115, pp. 155–184, 2015.
F. A. Hamprecht, Thiel, W., and van Gunsteren, W. F., Chemical library subset selection algorithms: a unified derivation using spatial statistics, Journal of Chemical Information and Computer Sciences, vol. 42, pp. 414-428, 2002.
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. 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.
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.
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)
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)
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)
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)
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, 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)

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