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Kees Joost Batenburg: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kees Joost Batenburg, Walter A. Kosters
    Neural Networks for Discrete Tomography. [Citation Graph (0, 0)][DBLP]
    BNAIC, 2005, pp:21-27 [Conf]
  2. Kees Joost Batenburg
    A Network Flow Algorithm for Binary Image Reconstruction from Few Projections. [Citation Graph (0, 0)][DBLP]
    DGCI, 2006, pp:86-97 [Conf]
  3. Kees Joost Batenburg
    A Learning Classifier Approach to Tomography. [Citation Graph (0, 0)][DBLP]
    ECAI, 2006, pp:655-659 [Conf]
  4. Kees Joost Batenburg, Walter A. Kosters
    A Neural Network Approach to Real-Time Discrete Tomography. [Citation Graph (0, 0)][DBLP]
    IWCIA, 2006, pp:389-403 [Conf]
  5. Kees Joost Batenburg, W. J. Palenstijn
    On the Reconstruction of Crystals Through Discrete Tomography. [Citation Graph (0, 0)][DBLP]
    IWCIA, 2004, pp:23-37 [Conf]
  6. Kees Joost Batenburg
    An evolutionary algorithm for discrete tomography. [Citation Graph (0, 0)][DBLP]
    Discrete Applied Mathematics, 2005, v:151, n:1-3, pp:36-54 [Journal]
  7. Kees Joost Batenburg, Jan Sijbers
    Optimal Threshold Selection for Tomogram Segmentation by Reprojection of the Reconstructed Image. [Citation Graph (0, 0)][DBLP]
    CAIP, 2007, pp:563-570 [Conf]

  8. Selection of Local Thresholds for Tomogram Segmentation by Projection Distance Minimization. [Citation Graph (, )][DBLP]


  9. Grey Level Estimation for Discrete Tomography. [Citation Graph (, )][DBLP]


  10. Dart: A Fast Heuristic Algebraic Reconstruction Algorithm for Discrete Tomography. [Citation Graph (, )][DBLP]


  11. Threshold Selection for Segmentation of Dense Objects in Tomograms. [Citation Graph (, )][DBLP]


  12. A Reasoning Framework for Solving Nonograms. [Citation Graph (, )][DBLP]


  13. Experiences with Cell-BE and GPU for Tomography. [Citation Graph (, )][DBLP]


  14. Generic iterative subset algorithms for discrete tomography. [Citation Graph (, )][DBLP]


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