Publications
U
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) T
Fiaschi, L, Diego, F, Grosser, K - H, Schiegg, M, Köthe, U, Zlatic, M and Hamprecht, F A (2014).
Tracking indistinguishable translucent objects over time using weakly supervised structured learning.
CVPR. Proceedings. 2736 - 2743
Technical Report (1.47 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) 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
S
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) Andres, B, Köthe, U, Helmstaedter, M, Denk, W and Hamprecht, F A (2008).
Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification.
Pattern Recognition. 30th DAGM Symposium Munich, Germany, June 10-13, 2008. Proceedings. Springer.
5096 142-152
Technical Report (1.21 MB) R
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) Q
Andres, B, Köthe, U, Bonea, A, Nadler, B and Hamprecht, F A (2009).
Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times.
Pattern Recognition. 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Springer.
5748 502-511
Technical Report (3.08 MB) P
Yarkony, J, Beier, T, Baldi, P and Hamprecht, F A (2014).
Parallel Multicut Segmentation via Dual Decomposition.
New Frontiers in Mining Complex Patterns - Third International Workshop, {NFMCP} 2014, Held in Conjunction with {ECML-PKDD} 2014, Nancy, France, September 19, 2014, Revised Selected Papers.
http://dx.doi.org/10.1007/978-3-319-17876-9_4 O
Künsch, H R, Agrell, E and Hamprecht, F A (2005).
Optimal lattices for sampling.
IEEE Transactions on Information Theory.
51 634-647
Kaster, F O, Kassemeyer, S, Merkel, B, Nix, O and Hamprecht, F A (2010).
An object-oriented library for systematic training and comparison of classifiers for computer-assisted tumor diagnosis from MRSI measurements.
Bildverarbeitung für die Medizin 2010 -- Algorithmen, Systeme, Anwendungen. Springer. 97-101
Technical Report (1.12 MB) M
Hanselmann, M, Köthe, U, Renard, B Y, Kirchner, M, Heeren, R M A and Hamprecht, F A (2009).
Multivariate Watershed Segmentation of Compositional Data.
Proceedings of the 15th International Conference on Discrete Geometry for Computer Imagery (DGCI), in press. Springer.
5810 180-192
Technical Report (1.25 MB) Pages