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Fred A. Hamprecht: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Heiko Eisele, Fred A. Hamprecht
    A New Approach for Defect Detection in X-ray CT Images. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2002, pp:345-352 [Conf]
  2. Michael Bühl, Fred A. Hamprecht
    Theoretical investigations of NMR chemical shifts and reactivities of oxovanadium(v) compounds. [Citation Graph (0, 0)][DBLP]
    Journal of Computational Chemistry, 1998, v:19, n:2, pp:113-122 [Journal]
  3. Fred A. Hamprecht, Walter Thiel, Wilfred F. van Gunsteren
    Chemical Library Subset Selection Algorithms: A Unified Derivation Using Spatial Statistics. [Citation Graph (0, 0)][DBLP]
    Journal of Chemical Information and Computer Sciences, 2002, v:42, n:2, pp:414-428 [Journal]
  4. Hans R. Künsch, Erik Agrell, Fred A. Hamprecht
    Optimal lattices for sampling. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2005, v:51, n:2, pp:634-647 [Journal]
  5. Björn Andres, Fred A. Hamprecht, Christoph S. Garbe
    Selection of Local Optical Flow Models by Means of Residual Analysis. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2007, pp:72-81 [Conf]
  6. L. Görlitz, B. H. Menze, M.-A. Weber, B. Michael Kelm, Fred A. Hamprecht
    Semi-supervised Tumor Detection in Magnetic Resonance Spectroscopic Images Using Discriminative Random Fields. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2007, pp:224-233 [Conf]

  7. Machine-Based Rejection of Low-Quality Spectra and Estimation of Brain Tumor Probabilities from Magnetic Resonance Spectroscopic Images. [Citation Graph (, )][DBLP]


  8. CLARET: A Tool for Fully Automated Evaluation of MRSI with Pattern Recognition Methods. [Citation Graph (, )][DBLP]


  9. On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. [Citation Graph (, )][DBLP]


  10. Segmentation of SBFSEM Volume Data of Neural Tissue by Hierarchical Classification. [Citation Graph (, )][DBLP]


  11. Quantitative Assessment of Image Segmentation Quality by Random Walk Relaxation Times. [Citation Graph (, )][DBLP]


  12. An Empirical Comparison of Inference Algorithms for Graphical Models with Higher Order Factors Using OpenGM. [Citation Graph (, )][DBLP]


  13. Multivariate Watershed Segmentation of Compositional Data. [Citation Graph (, )][DBLP]


  14. From Eigenspots to Fisherspots - Latent Spaces in the Nonlinear Detection of Spot Patterns in a Highly Varying Background. [Citation Graph (, )][DBLP]


  15. Two-stage Classification with Automatic Feature Selection for an Industrial Application. [Citation Graph (, )][DBLP]


  16. Classification of In Vivo Magnetic Resonance Spectra. [Citation Graph (, )][DBLP]


  17. Computational protein profile similarity screening for quantitative mass spectrometry experiments. [Citation Graph (, )][DBLP]


  18. Deuteration distribution estimation with improved sequence coverage for HX/MS experiments. [Citation Graph (, )][DBLP]


  19. NITPICK: peak identification for mass spectrometry data. [Citation Graph (, )][DBLP]


  20. A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data. [Citation Graph (, )][DBLP]


  21. Runtime-Flexible Multi-dimensional Arrays and Views for C++98 and C++0x [Citation Graph (, )][DBLP]


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