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2020 – today
- 2023
[j40]Kaifeng Zou
, Sylvain Faisan, Fabrice Heitz, Sébastien Valette:
Disentangling high-level factors and their features with conditional vector quantized VAEs. Pattern Recognit. Lett. 172: 172-180 (2023)- [j39]Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sébastien Valette:
Disentangled representations: towards interpretation of sex determination from hip bone. Vis. Comput. 39(12): 6673-6687 (2023) - 2022
- [c60]Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette:
Joint Disentanglement of Labels and Their Features with VAE. ICIP 2022: 1341-1345 - 2021
- [j38]Argheesh Bhanot, Céline Meillier, Fabrice Heitz, Laura Harsan:
Spatially Constrained Online Dictionary Learning for Source Separation. IEEE Trans. Image Process. 30: 3217-3228 (2021) - [c59]Adrien Heitz, Julien Weinzorn, Vincent Noblet, Benoît Naegel, Arnaud Charnoz, Fabrice Heitz, Luc Soler:
Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. ISBI 2021: 948-952 - [i2]Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Marie Epain, Pierre Croisille, Laurent Fanton, Sébastien Valette:
Disentangled representations: towards interpretation of sex determination from hip bone. CoRR abs/2112.09414 (2021)
2010 – 2019
- 2019
- [j37]Farid Ouhmich, Vincent Agnus, Vincent Noblet, Fabrice Heitz, Patrick Pessaux:
Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks. Int. J. Comput. Assist. Radiol. Surg. 14(8): 1275-1284 (2019) - [j36]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. 89: 289-301 (2019) - [c58]Argheesh Bhanot, Céline Meillier, Fabrice Heitz, Laura Harsan:
Online dictionary learning for single-subject fMRI data unmixing. EUSIPCO 2019: 1-5 - [c57]Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer:
Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP 2019: 2867-2871 - [i1]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Unsupervised learning-based long-term superpixel tracking. CoRR abs/1902.09596 (2019) - 2018
- [c56]Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenolé Quellec:
Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP 2018: 1-6 - [c55]Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenolé Quellec, Vincent Noblet, Fabrice Heitz:
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI 2018: 39-47 - 2017
- [j35]Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Vito de Blasi, Riccardo Memeo, Patrick Pessaux:
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. Int. J. Comput. Assist. Radiol. Surg. 12(2): 223-233 (2017) - [c54]Pierre-Henri Conze, Florian Tilquin, Vincent Noblet, François Rousseau, Fabrice Heitz, Patrick Pessaux:
Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. ISBI 2017: 490-493 - 2016
- [j34]Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach:
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? NeuroImage 142: 99-112 (2016) - [c53]Pierre-Henri Conze, Vincent Noblet, François Rousseau, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux:
Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. ISBI 2016: 416-419 - 2015
- [j33]Gil Gaullier, Pierre Charbonnier, Fabrice Heitz, Philippe Côté:
Modèles déformables contraints en reconstruction tomographique par temps de première arrivée. Traitement du Signal 32(2-3): 215-243 (2015) - [c52]Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach:
Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? MICCAI (1) 2015: 158-165 - [c51]Pierre-Henri Conze, François Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux:
Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. MLMI 2015: 212-219 - 2014
- [c50]Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frédéric Blanc, Jean-Paul Armspach:
General linear models for group studies in diffusion tensor imaging. ISBI 2014: 1339-1340 - 2013
- [j32]Swati Sharma, François Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach:
On the estimation and correction of bias in local atrophy estimations using example atrophy simulations. Comput. Medical Imaging Graph. 37(7-8): 538-551 (2013) - [j31]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 Anal. 17(3): 375-386 (2013) - 2012
- [j30]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 Anal. 16(1): 325-338 (2012) - [j29]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) - [j28]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. Pattern Recognit. Lett. 33(3): 283-290 (2012) - 2011
- [c49]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 - [c48]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
- [j27]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 Anal. 14(3): 373-389 (2010) - [c47]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
- [j26]Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz:
Multi-Reference Shape Priors for Active Contours. Int. J. Comput. Vis. 81(1): 68-81 (2009) - [c46]Gil Gaullier, Pierre Charbonnier, Fabrice Heitz:
Introducing shape priors in object-based tomographic reconstruction. ICIP 2009: 1077-1080 - [c45]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 - [c44]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 - [c43]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
- [j25]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. Signal Process. 2008 (2008) - [j24]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Accurate Inversion of 3-D Transformation Fields. IEEE Trans. Image Process. 17(10): 1963-1968 (2008) - [c42]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
- [j23]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 Anal. 11(1): 1-20 (2007) - [j22]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) - [c41]Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Unsupervised Nonlinear Manifold Learning. ICIP (2) 2007: 109-112 - 2006
- [j21]Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach:
Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Anal. 10(3): 366-384 (2006) - [j20]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) - [c40]Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz:
Affine-Invariant Multi-reference Shape Priors for Active Contours. ECCV (2) 2006: 601-613 - [c39]Sylvain Faisan, Laurent Thoraval, Fabrice Heitz, Jean-Paul Armspach:
Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation. ICASSP (5) 2006: 1097-1100 - 2005
- [j19]Torbjørn Vik, Fabrice Heitz, Izzie Namer, Jean-Paul Armspach:
On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion. NeuroImage 24(4): 1088-1098 (2005) - [j18]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 Comput. 31(1): 45-71 (2005) - [j17]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 Trans. Image Process. 14(5): 553-566 (2005) - [j16]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. Medical Imaging 24(2): 263-276 (2005) - [c38]Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz, Jack Foucher:
Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models. Medical Imaging: Image Processing 2005 - 2004
- [j15]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) - [c37]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
- [j14]Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach, Izzie Namer, Daniel Gounot, Lucien Rumbach:
Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution. NeuroImage 20(2): 643-656 (2003) - [j13]Raouf Hamdan, Fabrice Heitz, Laurent Thoraval:
A low complexity approximation of probabilistic appearance models. Pattern Recognit. 36(5): 1107-1118 (2003) - [j12]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation. Pattern Recognit. 36(8): 1881-1899 (2003) - [c36]Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz:
Geometric shape priors for region-based active contours. ICIP (3) 2003: 413-416 - [c35]Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier:
Mean shift-based Bayesian image reconstruction into visual subspace. ICIP (1) 2003: 697-700 - [c34]Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach:
Statistical atlas-based sub-voxel segmentation of 3D brain MRI. ICIP (2) 2003: 1077-1080 - [c33]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 - [c32]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 - [c31]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 - [c30]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
- [c29]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 - [c28]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
- [j11]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Topology preserving deformable image matching using constrained hierarchical parametric models. IEEE Trans. Image Process. 10(7): 1081-1093 (2001) - [j10]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
A Physically-based Statistical Deformable Model for Brain Image Analysis. IEEE Trans. Medical Imaging 20(10): 1026-1037 (2001) - [c27]Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz:
Unsupervised statistical detection of changing objects in camera-in-motion video. ICIP (1) 2001: 638-641 - [c26]Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Hybrid atlas-based and image-based approach for segmenting 3D brain MRIs. Medical Imaging: Image Processing 2001 - 2000
- [j9]Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz:
Discrete Markov image modeling and inference on the quadtree. IEEE Trans. Image Process. 9(3): 390-404 (2000) - [c25]Pierre Charbonnier, Fabrice Heitz:
Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre. CVPR 2000: 1685-1690 - [c24]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno:
A Physically-Based Statistical Deformable Model for Brain Image Analysis. ECCV (2) 2000: 528-542 - [c23]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 - [c22]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. ICIP 2000: 505-508 - [c21]Vincent Agnus, Christian Ronse, Fabrice Heitz:
Spatio-Temporal Segmentation Using 3D Morphological Tools. ICPR 2000: 3885-3892 - [c20]Gloria Bueno, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
3D watershed-based segmentation of internal structures within MR brain images. Medical Imaging: Image Processing 2000 - [c19]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
3D deformable image matching: a hierarchical approach over nested subspaces. Medical Imaging: Image Processing 2000
1990 – 1999
- 1999
- [j8]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. Pattern Recognit. 32(8): 1351-1368 (1999) - [j7]Charles Kervrann, Fabrice Heitz:
Statistical deformable model-based segmentation of image motion. IEEE Trans. Image Process. 8(4): 583-588 (1999) - [c18]Raouf Hamdan, Fabrice Heitz, Laurent Thoraval:
Gesture Localization and Recognition using Probabilistic Visual Learning. CVPR 1999: 2098-2103 - [c17]Olivier Musse, Fabrice Heitz, Jean-Paul Armspach:
3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. CVPR 1999: 2478-2484 - [c16]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation. Medical Imaging: Image Processing 1999 - 1998
- [j6]Charles Kervrann, Fabrice Heitz:
A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes. Graph. Model. Image Process. 60(3): 173-195 (1998) - [c15]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Robust Registration of Dissimilar Single and Multimodal Images. ECCV (2) 1998: 51-65 - [c14]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach:
Multimodal Image Registration using Statistically Constrained Deformable Multimodels. ICIP (1) 1998: 838-842 - [c13]Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Izzie-Jacques Namer:
Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures. Medical Imaging: Image Processing 1998 - 1996
- [j5]Patrick Pérez, Fabrice Heitz:
Restriction of a Markov random field on a graph and multiresolution statistical image modeling. IEEE Trans. Inf. Theory 42(1): 180-190 (1996) - [c12]Charles Kervrann, Fabrice Heitz:
Statistical model-based segmentation of deformable motion. ICIP (1) 1996: 937-940 - [c11]Charles Kervrann, Fabrice Heitz, Patrick Pérez:
Statistical model-based estimation and tracking of non-rigid motion. ICPR 1996: 244-248 - [c10]Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez:
A multiresolution EM algorithm for unsupervised image classification. ICPR 1996: 849-853 - 1995
- [j4]Étienne Mémin, Fabrice Heitz, François Charot:
Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. J. Parallel Distributed Comput. 29(1): 96-103 (1995) - [j3]Charles Kervrann, Fabrice Heitz:
A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics. IEEE Trans. Image Process. 4(6): 856-862 (1995) - [c9]Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre:
Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. ICCV 1995: 908-913 - 1994
- [c8]Étienne Mémin, Fabrice Heitz, François Charot:
Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. CVPR 1994: 644-648 - [c7]Charles Kervrann, Fabrice Heitz:
A hierarchical statistical framework for the segmentation of deformable objects in image sequences. CVPR 1994: 724-728 - [c6]Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz:
Global non-linear multigrid optimization for image analysis tasks. ICASSP (5) 1994: 533-536 - [c5]Charles Kervrann, Fabrice Heitz:
Robust Tracking of Stochastic Deformable Models in Long Image Sequences. ICIP (3) 1994: 88-92 - 1993
- [j2]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) - 1992
- [c4]Patrick Pérez, Fabrice Heitz:
Multiscale Markov random fields and constrained relaxation in low level image analysis. ICASSP 1992: 61-64 - 1990
- [j1]Fabrice Heitz, Henri Maître, Charles de Couessin:
Event detection in multisource imaging: application to fine arts painting analysis. IEEE Trans. Acoust. Speech Signal Process. 38(4): 695-704 (1990) - [c3]Fabrice Heitz, Patrick Bouthemy:
Motion estimation and segmentation using a global Bayesian approach. ICASSP 1990: 2305-2308 - [c2]Fabrice Heitz, Patrick Bouthemy:
Multimodal motion estimation and segmentation using Markov random fields. ICPR (1) 1990: 378-383
1980 – 1989
- 1989
- [c1]Fabrice Heitz, Henri Maître, Marc Bernard, Charles de Couessin:
Event detection in multisource imaging using contextual estimation. ICASSP 1989: 1647-1650
Coauthor Index
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