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Fabrice Heitz
2010 – today
- 2013
[j28]Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Stéphane Kremer, Jean-Paul Armspach: Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. Medical Image Analysis 17(3): 375-386 (2013)- 2012
- [j27]Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach: Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis. Medical Image Analysis 16(1): 325-338 (2012)
- [j26]Antoine Grigis, Vincent Noblet, Fabrice Heitz, Frédéric Blanc, Jérôme de Seze, Stéphane Kremer, Lucien Rumbach, Jean-Paul Armspach: Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. NeuroImage 60(4): 2206-2221 (2012)
- [j25]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. Pattern Recognition Letters 33(3): 283-290 (2012)
- 2011
- [c33]Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: A new high order tensor decomposition: Application to reorientation. ISBI 2011: 258-261
- [c32]Antoine Grigis, Vincent Noblet, Frédéric Blanc, Fabrice Heitz, Jérôme de Seze, Jean-Paul Armspach: Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. MICCAI (2) 2011: 1-8
- 2010
- [j24]Swati Sharma, Vincent Noblet, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach: Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. Medical Image Analysis 14(3): 373-389 (2010)
- [c31]Antoine Grigis, Vincent Noblet, Félix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach: Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. MICCAI (2) 2010: 117-124
2000 – 2009
- 2009
- [j23]Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz: Multi-Reference Shape Priors for Active Contours. International Journal of Computer Vision 81(1): 68-81 (2009)
- [c30]Gil Gaullier, Pierre Charbonnier, Fabrice Heitz: Introducing shape priors in object-based tomographic reconstruction. ICIP 2009: 1077-1080
- [c29]Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach: Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. ISBI 2009: 811-814
- [c28]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
- [c27]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
- 2008
- [j22]Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction. EURASIP J. Adv. Sig. Proc. 2008 (2008)
- [j21]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)
- [c26]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) 2008: 897-904
- 2007
- [j20]Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz: Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data. Medical Image Analysis 11(1): 1-20 (2007)
- [j19]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)
- [c25]Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: Unsupervised Nonlinear Manifold Learning. ICIP (2) 2007: 109-112
- 2006
- [j18]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach: Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Analysis 10(3): 366-384 (2006)
- [j17]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)
- [c24]Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz: Affine-Invariant Multi-reference Shape Priors for Active Contours. ECCV (2) 2006: 601-613
- 2005
- [j16]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)
- [j15]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)
- [j14]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)
- 2004
- [j13]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)
- [c23]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
- 2003
- [j12]Raouf Hamdan, Fabrice Heitz, Laurent Thoraval: A low complexity approximation of probabilistic appearance models. Pattern Recognition 36(5): 1107-1118 (2003)
- [j11]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)
- [c22]Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz: Geometric shape priors for region-based active contours. ICIP (3) 2003: 413-416
- [c21]Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier: Mean shift-based Bayesian image reconstruction into visual subspace. ICIP (1) 2003: 697-700
- [c20]Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach: Statistical atlas-based sub-voxel segmentation of 3D brain MRI. ICIP (2) 2003: 1077-1080
- [c19]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
- [c18]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
- [c17]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
- [c16]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
- 2002
- [c15]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
- [c14]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
- [j10]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)
- [j9]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)
- [c13]Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz: Unsupervised statistical detection of changing objects in camera-in-motion video. ICIP (1) 2001: 638-641
- 2000
- [j8]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)
- [c12]Pierre Charbonnier, Fabrice Heitz: Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre. CVPR 2000: 1685-1690
- [c11]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno: A Physically-Based Statistical Deformable Model for Brain Image Analysis. ECCV (2) 2000: 528-542
- [c10]Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: Construction of a 3D Physically-Based Multi-Object Deformable Model. ICIP 2000: 268-271
- [c9]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. ICIP 2000: 505-508
- [c8]Vincent Agnus, Christian Ronse, Fabrice Heitz: Spatio-Temporal Segmentation Using 3D Morphological Tools. ICPR 2000: 3885-3892
1990 – 1999
- 1999
- [j7]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)
- [j6]Charles Kervrann, Fabrice Heitz: Statistical deformable model-based segmentation of image motion. IEEE Transactions on Image Processing 8(4): 583-588 (1999)
- [c7]Raouf Hamdan, Fabrice Heitz, Laurent Thoraval: Gesture Localization and Recognition using Probabilistic Visual Learning. CVPR 1999: 2098-2103
- [c6]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach: 3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. CVPR 1999: 2478-2484
- 1998
- [j5]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)
- [c5]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach: Robust Registration of Dissimilar Single and Multimodal Images. ECCV (2) 1998: 51-65
- [c4]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach: Multimodal Image Registration using Statistically Constrained Deformable Multimodels. ICIP (1) 1998: 838-842
- 1996
- [j4]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)
- [c3]Charles Kervrann, Fabrice Heitz: Statistical model-based segmentation of deformable motion. ICIP (1) 1996: 937-940
- 1995
- [j3]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)
- [j2]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)
- [c2]Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre: Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. ICCV 1995: 908-913
- 1994
- [c1]Charles Kervrann, Fabrice Heitz: Robust Tracking of Stochastic Deformable Models in Long Image Sequences. ICIP (3) 1994: 88-92
- 1993
- [j1]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)
Coauthor Index
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last updated on 2013-04-12 20:31 CEST by the dblp team