Event detection in multisource imaging using contextual estimation. - Fabrice Heitz; Henri Maître; Marc Bernard; Charles de Couessin (ICASSP, 1989)

Motion estimation and segmentation using a global Bayesian approach. - Fabrice Heitz; Patrick Bouthemy (ICASSP, 1990)

Multimodal motion estimation and segmentation using Markov random fields. - Fabrice Heitz; Patrick Bouthemy (ICPR (1), 1990)

Event detection in multisource imaging: application to fine arts painting analysis. - Fabrice Heitz; Henri Maître; Charles de Couessin (IEEE Trans. Acoust. Speech Signal Process., 1990)

Multiscale Markov random fields and constrained relaxation in low level image analysis. - Patrick Pérez; Fabrice Heitz (ICASSP, 1992)

Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields. - Fabrice Heitz; Patrick Bouthemy (IEEE Trans. Pattern Anal. Mach. Intell., 1993)

A hierarchical statistical framework for the segmentation of deformable objects in image sequences. - Charles Kervrann; Fabrice Heitz (CVPR, 1994)

Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. - Étienne Mémin; Fabrice Heitz; François Charot (CVPR, 1994)

Global non-linear multigrid optimization for image analysis tasks. - Jean-Marc Laferté; Patrick Pérez; Fabrice Heitz (ICASSP (5), 1994)

Robust Tracking of Stochastic Deformable Models in Long Image Sequences. - Charles Kervrann; Fabrice Heitz (ICIP (3), 1994)

Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. - Jean-Marc Laferté; Fabrice Heitz; Patrick Pérez; Eric Fabre (ICCV, 1995)

Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. - Étienne Mémin; Fabrice Heitz; François Charot (J. Parallel Distributed Comput., 1995)

A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics. - Charles Kervrann; Fabrice Heitz (IEEE Trans. Image Process., 1995)

Statistical model-based segmentation of deformable motion. - Charles Kervrann; Fabrice Heitz (ICIP (1), 1996)

Statistical model-based estimation and tracking of non-rigid motion. - Charles Kervrann; Fabrice Heitz; Patrick Pérez (ICPR, 1996)

A multiresolution EM algorithm for unsupervised image classification. - Jean-Marc Laferté; Fabrice Heitz; Patrick Pérez (ICPR, 1996)

Restriction of a Markov random field on a graph and multiresolution statistical image modeling. - Patrick Pérez; Fabrice Heitz (IEEE Trans. Inf. Theory, 1996)

Robust Registration of Dissimilar Single and Multimodal Images. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach (ECCV (2), 1998)

Multimodal Image Registration using Statistically Constrained Deformable Multimodels. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach (ICIP (1), 1998)

Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach; Izzie-Jacques Namer (Image Processing, 1998)

A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes. - Charles Kervrann; Fabrice Heitz (Graph. Model. Image Process., 1998)

Gesture Localization and Recognition using Probabilistic Visual Learning. - Raouf Hamdan; Fabrice Heitz; Laurent Thoraval (CVPR, 1999)

3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. - Olivier Musse; Fabrice Heitz; Jean-Paul Armspach (CVPR, 1999)

Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach (Image Processing, 1999)

Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach (Pattern Recognit., 1999)

Statistical deformable model-based segmentation of image motion. - Charles Kervrann; Fabrice Heitz (IEEE Trans. Image Process., 1999)

Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre. - Pierre Charbonnier; Fabrice Heitz (CVPR, 2000)

A Physically-Based Statistical Deformable Model for Brain Image Analysis. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach; Gloria Bueno (ECCV (2), 2000)

Construction of a 3D Physically-Based Multi-Object Deformable Model. - Gloria Bueno; Christophoros Nikou; Olivier Musse; Fabrice Heitz; Jean-Paul Armspach (ICIP, 2000)

Spatio-Temporal Segmentation Using 3D Morphological Tools. - Vincent Agnus; Christian Ronse; Fabrice Heitz (ICPR, 2000)

3D watershed-based segmentation of internal structures within MR brain images. - Gloria Bueno; Olivier Musse; Fabrice Heitz; Jean-Paul Armspach (Image Processing, 2000)

3D deformable image matching: a hierarchical approach over nested subspaces. - Olivier Musse; Fabrice Heitz; Jean-Paul Armspach (Image Processing, 2000)

Discrete Markov image modeling and inference on the quadtree. - Jean-Marc Laferté; Patrick Pérez; Fabrice Heitz (IEEE Trans. Image Process., 2000)

Unsupervised statistical detection of changing objects in camera-in-motion video. - Rozenn Dahyot; Pierre Charbonnier; Fabrice Heitz (ICIP (1), 2001)

Hybrid atlas-based and image-based approach for segmenting 3D brain MRIs. - Gloria Bueno; Olivier Musse; Fabrice Heitz; Jean-Paul Armspach (Image Processing, 2001)

Topology preserving deformable image matching using constrained hierarchical parametric models. - Olivier Musse; Fabrice Heitz; Jean-Paul Armspach (IEEE Trans. Image Process., 2001)

A Physically-based Statistical Deformable Model for Brain Image Analysis. - Christophoros Nikou; Fabrice Heitz; Jean-Paul Armspach (IEEE Trans. Medical Imaging, 2001)

Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz (ICIP (1), 2002)

Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images. - Michel Salomon; Guy-René Perrin; Fabrice Heitz (PDPTA, 2002)

Statistical atlas-based sub-voxel segmentation of 3D brain MRI. - Marcel Bosc; Fabrice Heitz; Jean-Paul Armspach (ICIP (2), 2003)

Geometric shape priors for region-based active contours. - Alban Foulonneau; Pierre Charbonnier; Fabrice Heitz (ICIP (3), 2003)

Mean shift-based Bayesian image reconstruction into visual subspace. - Torbjørn Vik; Fabrice Heitz; Pierre Charbonnier (ICIP (1), 2003)

ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. - Marcel Bosc; Torbjørn Vik; Jean-Paul Armspach; Fabrice Heitz (MICCAI (2), 2003)

Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz (MICCAI (2), 2003)

A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (MICCAI (2), 2003)

Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance. - Torbjørn Vik; Fabrice Heitz; Jean-Paul Armspach (MICCAI (2), 2003)

Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution. - Marcel Bosc; Fabrice Heitz; Jean-Paul Armspach; Izzie Namer; Daniel Gounot; Lucien Rumbach (NeuroImage, 2003)

A low complexity approximation of probabilistic appearance models. - Raouf Hamdan; Fabrice Heitz; Laurent Thoraval (Pattern Recognit., 2003)

Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation. - Olivier Musse; Fabrice Heitz; Jean-Paul Armspach (Pattern Recognit., 2003)

A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (ECCV (3), 2004)

A Bayesian approach to object detection using probabilistic appearance-based models. - Rozenn Dahyot; Pierre Charbonnier; Fabrice Heitz (Pattern Anal. Appl., 2004)

Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz; Jack Foucher (Image Processing, 2005)

On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion. - Torbjørn Vik; Fabrice Heitz; Izzie Namer; Jean-Paul Armspach (NeuroImage, 2005)

A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations. - Michel Salomon; Fabrice Heitz; Guy-René Perrin; Jean-Paul Armspach (Parallel Comput., 2005)

3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (IEEE Trans. Image Process., 2005)

Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Marie-Noëlle Metz-Lutz; Fabrice Heitz (IEEE Trans. Medical Imaging, 2005)

Affine-Invariant Multi-reference Shape Priors for Active Contours. - Alban Foulonneau; Pierre Charbonnier; Fabrice Heitz (ECCV (2), 2006)

Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation. - Sylvain Faisan; Laurent Thoraval; Fabrice Heitz; Jean-Paul Armspach (ICASSP (5), 2006)

Retrospective evaluation of a topology preserving non-rigid registration method. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (Medical Image Anal., 2006)

Affine-Invariant Geometric Shape Priors for Region-Based Active Contours. - Alban Foulonneau; Pierre Charbonnier; Fabrice Heitz (IEEE Trans. Pattern Anal. Mach. Intell., 2006)

Unsupervised Nonlinear Manifold Learning. - Matthieu Brucher; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (ICIP (2), 2007)

Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data. - Sylvain Faisan; Laurent Thoraval; Jean-Paul Armspach; Fabrice Heitz (Medical Image Anal., 2007)

Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces. - Torbjørn Vik; Fabrice Heitz; Pierre Charbonnier (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (MICCAI (2), 2008)

A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction. - Matthieu Brucher; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (EURASIP J. Adv. Signal Process., 2008)

Accurate Inversion of 3-D Transformation Fields. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (IEEE Trans. Image Process., 2008)

Introducing shape priors in object-based tomographic reconstruction. - Gil Gaullier; Pierre Charbonnier; Fabrice Heitz (ICIP, 2009)

Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. - Hervé Boisgontier; Vincent Noblet; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (ISBI, 2009)

Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. - Hervé Boisgontier; Vincent Noblet; Félix Renard; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (MICCAI (1), 2009)

Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. - Swati Sharma; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (MICCAI (1), 2009)

Multi-Reference Shape Priors for Active Contours. - Alban Foulonneau; Pierre Charbonnier; Fabrice Heitz (Int. J. Comput. Vis., 2009)

Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. - Antoine Grigis; Vincent Noblet; Félix Renard; Fabrice Heitz; Jean-Paul Armspach; Lucien Rumbach (MICCAI (2), 2010)

Evaluation of brain atrophy estimation algorithms using simulated ground-truth data. - Swati Sharma; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (Medical Image Anal., 2010)

A new high order tensor decomposition: Application to reorientation. - Antoine Grigis; Félix Renard; Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (ISBI, 2011)

Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Jean-Paul Armspach (MICCAI (2), 2011)

Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis. - Hervé Boisgontier; Vincent Noblet; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (Medical Image Anal., 2012)

Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors. - Antoine Grigis; Vincent Noblet; Fabrice Heitz; Frédéric Blanc 002; Jérôme de Seze; Stéphane Kremer; Lucien Rumbach; Jean-Paul Armspach (NeuroImage, 2012)

An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration. - Vincent Noblet; Christian Heinrich; Fabrice Heitz; Jean-Paul Armspach (Pattern Recognit. Lett., 2012)

On the estimation and correction of bias in local atrophy estimations using example atrophy simulations. - Swati Sharma; François Rousseau 002; Fabrice Heitz; Lucien Rumbach; Jean-Paul Armspach (Comput. Medical Imaging Graph., 2013)

Longitudinal change detection: Inference on the diffusion tensor along white matter pathways. - Antoine Grigis; Vincent Noblet; Frédéric Blanc 002; Fabrice Heitz; Jérôme de Seze; Stéphane Kremer; Jean-Paul Armspach (Medical Image Anal., 2013)

General linear models for group studies in diffusion tensor imaging. - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (ISBI, 2014)

Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (MICCAI (1), 2015)

Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. - Pierre-Henri Conze; François Rousseau 002; Vincent Noblet; Fabrice Heitz; Riccardo Memeo; Patrick Pessaux (MLMI, 2015)

Modèles déformables contraints en reconstruction tomographique par temps de première arrivée. - Gil Gaullier; Pierre Charbonnier; Fabrice Heitz; Philippe Côté (Traitement du Signal, 2015)

Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans. - Pierre-Henri Conze; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Riccardo Memeo; Patrick Pessaux (ISBI, 2016)

Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors? - Alix Bouchon; Vincent Noblet; Fabrice Heitz; Julien Lamy; Frédéric Blanc 002; Jean-Paul Armspach (NeuroImage, 2016)

Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration. - Pierre-Henri Conze; Florian Tilquin; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Patrick Pessaux (ISBI, 2017)

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans. - Pierre-Henri Conze; Vincent Noblet; François Rousseau 002; Fabrice Heitz; Vito de Blasi; Riccardo Memeo; Patrick Pessaux (Int. J. Comput. Assist. Radiol. Surg., 2017)

Long-term superpixel tracking using unsupervised learning and multi-step integration. - Pierre-Henri Conze; Florian Tilquin; Mathieu Lamard; Fabrice Heitz; Gwenolé Quellec (ATSIP, 2018)

Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. - Florian Tilquin; Pierre-Henri Conze; Patrick Pessaux; Mathieu Lamard; Gwenolé Quellec; Vincent Noblet; Fabrice Heitz (Patch-MI@MICCAI, 2018)

Online dictionary learning for single-subject fMRI data unmixing. - Argheesh Bhanot; Céline Meillier; Fabrice Heitz; Laura Harsan (EUSIPCO, 2019)

Anomaly Detection in Single Subject vs Group Using Manifold Learning. - Florian Tilquin; Sylvain Faisan; Fabrice Heitz; Vincent Noblet; Frédéric Blanc 002; Izzie Namer (ICASSP, 2019)

Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks. - Farid Ouhmich; Vincent Agnus; Vincent Noblet; Fabrice Heitz; Patrick Pessaux (Int. J. Comput. Assist. Radiol. Surg., 2019)

Unsupervised learning-based long-term superpixel tracking. - Pierre-Henri Conze; Florian Tilquin; Mathieu Lamard; Fabrice Heitz; Gwenolé Quellec (Image Vis. Comput., 2019)

Lubrav: A New Framework For The Segmentation Of The Lung's Tubular Structures. - Adrien Heitz; Julien Weinzorn; Vincent Noblet; Benoît Naegel; Arnaud Charnoz; Fabrice Heitz; Luc Soler (ISBI, 2021)

Spatially Constrained Online Dictionary Learning for Source Separation. - Argheesh Bhanot; Céline Meillier; Fabrice Heitz; Laura Harsan (IEEE Trans. Image Process., 2021)

Joint Disentanglement of Labels and Their Features with VAE. - Kaifeng Zou; Sylvain Faisan; Fabrice Heitz; Sébastien Valette (ICIP, 2022)

Disentangling high-level factors and their features with conditional vector quantized VAEs. - Kaifeng Zou; Sylvain Faisan; Fabrice Heitz; Sébastien Valette (Pattern Recognit. Lett., 2023)

Disentangled representations: towards interpretation of sex determination from hip bone. - Kaifeng Zou; Sylvain Faisan; Fabrice Heitz; Marie Epain; Pierre Croisille; Laurent Fanton; Sébastien Valette (Vis. Comput., 2023)