| 2009 | ||
|---|---|---|
| 47 | Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach: Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. MICCAI (1) 2009: 566-574 | |
| 46 | Hervé Boisgontier, Vincent Noblet, Félix Renard, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach: Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. MICCAI (1) 2009: 959-966 | |
| 45 | Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz: Multi-Reference Shape Priors for Active Contours. International Journal of Computer Vision 81(1): 68-81 (2009) | |
| 2008 | ||
| 44 | Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) 2008: 897-904 | |
| 43 | Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: Accurate Inversion of 3-D Transformation Fields. IEEE Transactions on Image Processing 17(10): 1963-1968 (2008) | |
| 2007 | ||
| 42 | Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: Unsupervised Nonlinear Manifold Learning. ICIP (2) 2007: 109-112 | |
| 41 | Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier: Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces. IEEE Trans. Pattern Anal. Mach. Intell. 29(5): 901-905 (2007) | |
| 2006 | ||
| 40 | Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz: Affine-Invariant Multi-reference Shape Priors for Active Contours. ECCV (2) 2006: 601-613 | |
| 39 | Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz: Affine-Invariant Geometric Shape Priors for Region-Based Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. 28(8): 1352-1357 (2006) | |
| 2005 | ||
| 38 | 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. IEEE Trans. Med. Imaging 24(2): 263-276 (2005) | |
| 37 | 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. IEEE Transactions on Image Processing 14(5): 553-566 (2005) | |
| 36 | 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. Parallel Computing 31(1): 45-71 (2005) | |
| 2004 | ||
| 35 | 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. ECCV (3) 2004: 546-557 | |
| 34 | Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz: A Bayesian approach to object detection using probabilistic appearance-based models. Pattern Anal. Appl. 7(3): 317-332 (2004) | |
| 2003 | ||
| 33 | Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier: Mean shift-based Bayesian image reconstruction into visual subspace. ICIP (1) 2003: 697-700 | |
| 32 | Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach: Statistical atlas-based sub-voxel segmentation of 3D brain MRI. ICIP (2) 2003: 1077-1080 | |
| 31 | Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz: Geometric shape priors for region-based active contours. ICIP (3) 2003: 413-416 | |
| 30 | 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. MICCAI (2) 2003: 75-82 | |
| 29 | Torbjørn Vik, Fabrice Heitz, Jean-Paul Armspach: Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance. MICCAI (2) 2003: 838-845 | |
| 28 | Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. MICCAI (2) 2003: 977-978 | |
| 27 | Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz: ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. MICCAI (2) 2003: 981-982 | |
| 26 | Raouf Hamdan, Fabrice Heitz, Laurent Thoraval: A low complexity approximation of probabilistic appearance models. Pattern Recognition 36(5): 1107-1118 (2003) | |
| 25 | Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation. Pattern Recognition 36(8): 1881-1899 (2003) | |
| 2002 | ||
| 24 | Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz: Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. ICIP (1) 2002: 880-883 | |
| 23 | Michel Salomon, Guy-René Perrin, Fabrice Heitz: Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images. PDPTA 2002: 40-48 | |
| 2001 | ||
| 22 | Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz: Unsupervised statistical detection of changing objects in camera-in-motion video. ICIP (1) 2001: 638-641 | |
| 21 | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach: A Physically-based Statistical Deformable Model for Brain Image Analysis. IEEE Trans. Med. Imaging 20(10): 1026-1037 (2001) | |
| 20 | Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: Topology preserving deformable image matching using constrained hierarchical parametric models. IEEE Transactions on Image Processing 10(7): 1081-1093 (2001) | |
| 2000 | ||
| 19 | Pierre Charbonnier, Fabrice Heitz: Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre. CVPR 2000: 1685-1690 | |
| 18 | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno: A Physically-Based Statistical Deformable Model for Brain Image Analysis. ECCV (2) 2000: 528-542 | |
| 17 | Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: Construction of a 3D Physically-Based Multi-Object Deformable Model. ICIP 2000 | |
| 16 | Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. ICIP 2000 | |
| 15 | Vincent Agnus, Christian Ronse, Fabrice Heitz: Spatio-Temporal Segmentation Using 3D Morphological Tools. ICPR 2000: 3885-3892 | |
| 14 | Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz: Discrete Markov image modeling and inference on the quadtree. IEEE Transactions on Image Processing 9(3): 390-404 (2000) | |
| 1999 | ||
| 13 | Raouf Hamdan, Fabrice Heitz, Laurent Thoraval: Gesture Localization and Recognition using Probabilistic Visual Learning. CVPR 1999: 2098-2103 | |
| 12 | Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: 3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. CVPR 1999: 2478-2484 | |
| 11 | Charles Kervrann, Fabrice Heitz: Statistical deformable model-based segmentation of image motion. IEEE Transactions on Image Processing 8(4): 583-588 (1999) | |
| 10 | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach: Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. Pattern Recognition 32(8): 1351-1368 (1999) | |
| 1998 | ||
| 9 | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach: Robust Registration of Dissimilar Single and Multimodal Images. ECCV (2) 1998: 51-65 | |
| 8 | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach: Multimodal Image Registration using Statistically Constrained Deformable Multimodels. ICIP (1) 1998: 838-842 | |
| 7 | Charles Kervrann, Fabrice Heitz: A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes. Graphical Models and Image Processing 60(3): 173-195 (1998) | |
| 1996 | ||
| 6 | Patrick Pérez, Fabrice Heitz: Restriction of a Markov random field on a graph and multiresolution statistical image modeling. IEEE Transactions on Information Theory 42(1): 180-190 (1996) | |
| 1995 | ||
| 5 | Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre: Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. ICCV 1995: 908-913 | |
| 4 | Charles Kervrann, Fabrice Heitz: A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics. IEEE Transactions on Image Processing 4(6): 856-862 (1995) | |
| 3 | Étienne Mémin, Fabrice Heitz, François Charot: Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. J. Parallel Distrib. Comput. 29(1): 96-103 (1995) | |
| 1994 | ||
| 2 | Charles Kervrann, Fabrice Heitz: Robust Tracking of Stochastic Deformable Models in Long Image Sequences. ICIP (3) 1994: 88-92 | |
| 1993 | ||
| 1 | Fabrice Heitz, Patrick Bouthemy: Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 15(12): 1217-1232 (1993) | |