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Jean-Paul Armspach: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
    3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:2478-2484 [Conf]
  2. Nicolas Passat, Christian Ronse, J. Baruthio, Jean-Paul Armspach, C. Maillot
    Cerebral Vascular Atlas Generation for Anatomical Knowledge Modeling and Segmentation Purpose. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2005, pp:331-337 [Conf]
  3. Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
    Robust Registration of Dissimilar Single and Multimodal Images. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1998, pp:51-65 [Conf]
  4. Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno
    A Physically-Based Statistical Deformable Model for Brain Image Analysis. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 2000, pp:528-542 [Conf]
  5. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
    A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images. [Citation Graph (0, 0)][DBLP]
    ECCV (3), 2004, pp:546-557 [Conf]
  6. Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
    Statistical atlas-based sub-voxel segmentation of 3D brain MRI. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:1077-1080 [Conf]
  7. Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
    Construction of a 3D Physically-Based Multi-Object Deformable Model. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  8. Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
    Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:880-883 [Conf]
  9. Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
    Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  10. Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
    Multimodal Image Registration using Statistically Constrained Deformable Multimodels. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:838-842 [Conf]
  11. Stephanie Bricq, Christophe Collet, Jean-Paul Armspach
    Triplet Markov chain for 3D MRI brain segmentation using a probabilistic atlas. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:386-389 [Conf]
  12. Nicolas Passat, Christian Ronse, J. Baruthio, Jean-Paul Armspach, Marcel Bosc, J. Foucher
    Using Multimodal MR Data for Segmentation and Topology Recovery of the Cerebral Superficial Venous Tree. [Citation Graph (0, 0)][DBLP]
    ISVC, 2005, pp:60-67 [Conf]
  13. Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz
    ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2003, pp:981-982 [Conf]
  14. Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz
    Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2003, pp:75-82 [Conf]
  15. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
    A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2003, pp:977-978 [Conf]
  16. Laurent Thoraval, Jean-Paul Armspach, Izzie Namer
    Analysis of Brain Functional MRI Time Series Based on Continuous Wavelet Transform and Stimulation-Response Coupling Distance. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2001, pp:881-888 [Conf]
  17. Torbjørn Vik, Fabrice Heitz, Jean-Paul Armspach
    Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2003, pp:838-845 [Conf]
  18. Nicolas Passat, Christian Ronse, J. Baruthio, Jean-Paul Armspach, J. Foucher
    Watershed and multimodal data for brain vessel segmentation: Application to the superior sagittal sinus. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 2007, v:25, n:4, pp:512-521 [Journal]
  19. Michel Salomon, Fabrice Heitz, Guy-René Perrin, Jean-Paul Armspach
    A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations. [Citation Graph (0, 0)][DBLP]
    Parallel Computing, 2005, v:31, n:1, pp:45-71 [Journal]
  20. Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
    Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2003, v:36, n:8, pp:1881-1899 [Journal]
  21. Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
    Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1999, v:32, n:8, pp:1351-1368 [Journal]
  22. Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
    Topology preserving deformable image matching using constrained hierarchical parametric models. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:7, pp:1081-1093 [Journal]
  23. Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
    3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:5, pp:553-566 [Journal]
  24. Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Marie-Noëlle Metz-Lutz, Fabrice Heitz
    Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:2, pp:263-276 [Journal]
  25. Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
    A Physically-based Statistical Deformable Model for Brain Image Analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2001, v:20, n:10, pp:1026-1037 [Journal]

  26. Unsupervised Nonlinear Manifold Learning. [Citation Graph (, )][DBLP]


  27. Markovian segmentation of 3D brain MRI to detect Multiple Sclerosis lesions. [Citation Graph (, )][DBLP]


  28. Segmentation of head bones in 3-D CT images from an example. [Citation Graph (, )][DBLP]


  29. Lesions detection on 3D brain MRI using trimmmed likelihood estimator and probabilistic atlas. [Citation Graph (, )][DBLP]


  30. An a contrario approach for outliers segmentation: Application to Multiple Sclerosis in MRI. [Citation Graph (, )][DBLP]


  31. Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. [Citation Graph (, )][DBLP]


  32. Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. [Citation Graph (, )][DBLP]


  33. Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. [Citation Graph (, )][DBLP]


  34. Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. [Citation Graph (, )][DBLP]


  35. Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. [Citation Graph (, )][DBLP]


  36. Topology-Preserving Discrete Deformable Model: Application to Multi-segmentation of Brain MRI. [Citation Graph (, )][DBLP]


  37. 3D Brain MRI segmentation based on robust Hidden Markov Chain. [Citation Graph (, )][DBLP]


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