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Journal Article

Lou, X, Fiaschi, L, Köthe, U and Hamprecht, F A (2012). Quality Classification of Microscopic Imagery with Weakly Supervised Learning. MICCAI-MLMI. Proceedings. 176-183

Technical Report (4.15 MB)

Álvarez, J M, Gevers, T, Diego, F and López, A M (2012). Road Geometry Classification by Adaptive Shape Models. IEEE Transactions on Intelligent Transportation Systems (ITS). 99 1-10

König, T, Menze, B H, Kirchner, M, Monigatti, F, Parker, K C, Patterson, T, Steen, J J, Hamprecht, F A and Steen, H (2008). Robust Prediction of the MASCOT Score for an Improved Quality Assessment in Mass Spectrometric Proteomics. Journal of Proteome Research. 7 3708-3717

Technical Report (1.16 MB)

Andres, B, Köthe, U, Kröger, T and Hamprecht, F A (2010). Runtime-Flexible Multi-dimensional Views and Arrays for C++98 and C++0x. ArXiv e-prints. http://arxiv.org/abs/1008.2909v1

Technical Report (415.54 KB)

Ommer, B, Mader, T and Buhmann, J M (2009). Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera. International Journal of Computer Vision. Springer. 83 57--71

Technical Report (9.61 MB)

Hanselmann, M, Voss, B, Renard, B Y, Lindner, M, Köthe, U, Kirchner, M and Hamprecht, F A (2011). SIMA: Simultaneous Multiple Alignment of LC/MS Peak Lists. Bioinformatics. 27 (7) 987-993

Technical Report (2.2 MB)

Köthe, U, Herrmannsdörfer, F, Kats, I and Hamprecht, F A (2014). SimpleSTORM: a fast, self-calibrating reconstruction algorithm for localization microscopy. Histochemistry and Cell Biology. 141 613-627

Technical Report (2.29 MB)

Antic, B and Ommer, B (2015). Spatio-temporal Video Parsing for Abnormality Detection. arXiv. abs/1502.06235. http://arxiv.org/abs/1502.06235

Technical Report (4.61 MB)

Jäger, M, Humbert, S and Hamprecht, F A (2008). Sputter Tracking for the Automatic Monitoring of Industrial Laser Welding Processes. IEEE Transactions on Industrial Electronics. 55 2177-2184

Technical Report (1.83 MB)

Hamprecht, F A, Peter, C, Daura, X, Thiel, W and van Gunsteren, W F (2001). A strategy for analysis of (molecular) equilibrium simulations: configuration space density estimation, clustering and visualization. Journal of Chemical Physics. 114 2079-2089

Cali, C, Baghabra, J, Boges, D J, Holst, G R, Kreshuk, A, Hamprecht, F A, Srinivasan, M, Lehväslaiho, H and Magistretti, P J (2015). Three-dimensional immersive virtual reality for studying cellular compartments in 3D models from EM preparations of neural tissues. Journal of Comparative Neurology. 524 23-38

Kauppi, J P, Kandemir, M, Saarinen, V M, Hirvenkari, L, Parkkonen, L, Klami, A, Hari, R and Kaski, S (2015). Towards brain-activity-controlled information retrieval: Decoding image relevance from MEG signals. NeuroImage. 112 288-298

Technical Report (2.39 MB)

Hanselmann, M, Köthe, U, Kirchner, M, Renard, B Y, Amstalden, E R, Glunde, K, Heeren, R M A and Hamprecht, F A (2009). Towards Digital Staining using Imaging Mass Spectrometry and Random Forests. Journal of Proteome Research. 8 3558-3567

Technical Report (1.47 MB)

Bell, P and Ommer, B (2015). Training Argus. Kunstchronik. Monatsschrift für Kunstwissenschaft, Museumswesen und Denkmalpflege. Zentralinstitut für Kunstgeschichte. 68 414--420

Kelm, B Michael, Kaster, F O, Henning, A, Weber, M - A, Bachert, P, Bösinger, P, Hamprecht, F A and Menze, B H (2011). Using Spatial Prior Knowledge in the Spectral Fitting of Magnetic Resonance Spectroscopic Images. NMR in Biomedicine. 25(1) 1-13

Technical Report (1.94 MB)

Hamprecht, F A and Jähne, B (2004). Vom Bild zur Information. Ruperto Carola -- Forschungsmagazin der Universität Heidelberg. 03.2004 9-12

Jäger, M, Knoll, C and Hamprecht, F A (2008). Weakly Supervised Learning of a Classifier for Unusual Event Detection. IEEE Transactions on Image Processing. 17 1700-1708

Technical Report (295.32 KB)

Horvát, E - A, Hanselmann, M, Hamprecht, F A and Zweig, K A (2012). You Are Who Knows You: Predicting Links Between Non-Members of Facebook. European Conference on Complex Systems. Proceedings. 3 309-315

Technical Report (1.92 MB)

Masters Thesis

Hüsken, (2010). Active And Online Learning For Interactive Image Analysis. University of Heidelberg

Hanslovsky, P (2013). Advanced Cell Tacking-By-Assignment. University of Heidelberg

Decker, C (2014). Automated Animal Behavior Classification. University of Heidelberg

Lerch, K (2006). Discontinuity Preserving Filtering Of Spectral Images. University of Heidelberg

Kröger, (2010). Exploratory And Computational Analysis Of Huge Volume Images For Connectomics. University of Heidelberg

Beier, T (2014). Graph Based Image Analysis. University of Heidelberg

Blumenthal, F (2014). Information-Geometric Optimization For Image Segmentation. University of Heidelberg

Frank, M (2007). Investigation Of A 3D Camera. University of Heidelberg

Lindner, M (2011). A Machine Learning Approach To Improve Digital Embryo Analysis. University of Heidelberg

Andres, B (2007). Model Selection In Optical Flow-Based Motion Estimation By Means Of Residual Analysis. University of Heidelberg

Kausler, B X (2010). Modeling Of Spectral Peaks For Mass-Spectrometry-Based Proteomics. Universities of Karlsruhe and Heidelberg

Griessinger, M (2008). Oject Detection With Generic Features: An Application To Sted Microscopy. University of Heidelberg

Humbert, S (2005). Partikel-Verfolgung Beim Laserschwei\Dfen Mit Dem Kalman-Filter. University of Heidelberg

Boppel, S (2008). Peak Identification For Liquid Chromatography And Mass Spectrometry. University of Heidelberg

König, (2007). Quality Control In Mass Spectrometry. University of Heidelberg

Kassemeyer, S (2009). Quantification Of Tumour Angiogenesis Using Pattern Recognition. University of Heidelberg

Greis, J (2009). Semi-Automatic Analysis Of High-Information-Content Neurobiological Image Data. University of Heidelberg

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