Fabrice Heitz

ORCID

Publication Activity (10 Years)

Years Active: 1989-2023
Publications (10 Years): 17

Top Venues

ISBI

CoRR

Int. J. Comput. Assist. Radiol. Surg.

MLMI

Publications

Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette
Disentangling high-level factors and their features with conditional vector quantized VAEs. Pattern Recognit. Lett. 172 (2023)
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) (2023)
Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sébastien Valette
Joint Disentanglement of Labels and Their Features with VAE. ICIP (2022)
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 (2021)
Argheesh Bhanot, Céline Meillier, Fabrice Heitz, Laura Harsan
Spatially Constrained Online Dictionary Learning for Source Separation. IEEE Trans. Image Process. 30 (2021)
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)
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) (2019)
Argheesh Bhanot, Céline Meillier, Fabrice Heitz, Laura Harsan
Online dictionary learning for single-subject fMRI data unmixing. EUSIPCO (2019)
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec
Unsupervised learning-based long-term superpixel tracking. Image Vis. Comput. 89 (2019)
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec
Unsupervised learning-based long-term superpixel tracking. CoRR (2019)
Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frédéric Blanc, Izzie Namer
Anomaly Detection in Single Subject vs Group Using Manifold Learning. ICASSP (2019)
Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwénolé Quellec, Vincent Noblet, Fabrice Heitz
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. Patch-MI@MICCAI (2018)
Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwénolé Quellec
Long-term superpixel tracking using unsupervised learning and multi-step integration. ATSIP (2018)
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)
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) (2017)
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 (2016)
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)
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) (2015)
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)
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)
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)
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) (2013)
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) (2013)
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) (2012)
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) (2012)
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) (2012)
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)
Antoine Grigis, Félix Renard, Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
A new high order tensor decomposition: Application to reorientation. ISBI (2011)
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)
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) (2010)
Hervé Boisgontier, Vincent Noblet, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach
Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images. ISBI (2009)
Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
Multi-Reference Shape Priors for Active Contours. Int. J. Comput. Vis. 81 (1) (2009)
Gil Gaullier, Pierre Charbonnier, Fabrice Heitz
Introducing shape priors in object-based tomographic reconstruction. ICIP (2009)
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)
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)
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)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
Accurate Inversion of 3-D Transformation Fields. IEEE Trans. Image Process. 17 (10) (2008)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. MICCAI (2) (2008)
Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
Unsupervised Nonlinear Manifold Learning. ICIP (2) (2007)
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) (2007)
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) (2007)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
Retrospective evaluation of a topology preserving non-rigid registration method. Medical Image Anal. 10 (3) (2006)
Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
Affine-Invariant Multi-reference Shape Priors for Active Contours. ECCV (2) (2006)
Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
Affine-Invariant Geometric Shape Priors for Region-Based Active Contours. IEEE Trans. Pattern Anal. Mach. Intell. 28 (8) (2006)
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)
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) (2005)
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)
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) (2005)
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) (2005)
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) (2005)
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)
Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz
A Bayesian approach to object detection using probabilistic appearance-based models. Pattern Anal. Appl. 7 (3) (2004)
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) (2003)
Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz
Geometric shape priors for region-based active contours. ICIP (3) (2003)
Raouf Hamdan, Fabrice Heitz, Laurent Thoraval
A low complexity approximation of probabilistic appearance models. Pattern Recognit. 36 (5) (2003)
Torbjørn Vik, Fabrice Heitz, Pierre Charbonnier
Mean shift-based Bayesian image reconstruction into visual subspace. ICIP (1) (2003)
Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach
A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. MICCAI (2) (2003)
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) (2003)
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)
Marcel Bosc, Torbjørn Vik, Jean-Paul Armspach, Fabrice Heitz
ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. MICCAI (2) (2003)
Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach
Statistical atlas-based sub-voxel segmentation of 3D brain MRI. ICIP (2) (2003)
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)
Michel Salomon, Guy-René Perrin, Fabrice Heitz
Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images. PDPTA (2002)
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)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
A Physically-based Statistical Deformable Model for Brain Image Analysis. IEEE Trans. Medical Imaging 20 (10) (2001)
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)
Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz
Unsupervised statistical detection of changing objects in camera-in-motion video. ICIP (1) (2001)
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
Topology preserving deformable image matching using constrained hierarchical parametric models. IEEE Trans. Image Process. 10 (7) (2001)
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)
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. ICIP (2000)
Pierre Charbonnier, Fabrice Heitz
Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre. CVPR (2000)
Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz
Discrete Markov image modeling and inference on the quadtree. IEEE Trans. Image Process. 9 (3) (2000)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno
A Physically-Based Statistical Deformable Model for Brain Image Analysis. ECCV (2) (2000)
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
3D deformable image matching: a hierarchical approach over nested subspaces. Medical Imaging: Image Processing (2000)
Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
Construction of a 3D Physically-Based Multi-Object Deformable Model. ICIP (2000)
Vincent Agnus, Christian Ronse, Fabrice Heitz
Spatio-Temporal Segmentation Using 3D Morphological Tools. ICPR (2000)
Olivier Musse, Fabrice Heitz, Jean-Paul Armspach
3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. CVPR (1999)
Charles Kervrann, Fabrice Heitz
Statistical deformable model-based segmentation of image motion. IEEE Trans. Image Process. 8 (4) (1999)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
Robust voxel similarity metrics for the registration of dissimilar single and multimodal images. Pattern Recognit. 32 (8) (1999)
Raouf Hamdan, Fabrice Heitz, Laurent Thoraval
Gesture Localization and Recognition using Probabilistic Visual Learning. CVPR (1999)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation. Medical Imaging: Image Processing (1999)
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)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
Robust Registration of Dissimilar Single and Multimodal Images. ECCV (2) (1998)
Charles Kervrann, Fabrice Heitz
A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes. Graph. Model. Image Process. 60 (3) (1998)
Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach
Multimodal Image Registration using Statistically Constrained Deformable Multimodels. ICIP (1) (1998)
Charles Kervrann, Fabrice Heitz
Statistical model-based segmentation of deformable motion. ICIP (1) (1996)
Charles Kervrann, Fabrice Heitz, Patrick Pérez
Statistical model-based estimation and tracking of non-rigid motion. ICPR (1996)
Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez
A multiresolution EM algorithm for unsupervised image classification. ICPR (1996)
Patrick Pérez, Fabrice Heitz
Restriction of a Markov random field on a graph and multiresolution statistical image modeling. IEEE Trans. Inf. Theory 42 (1) (1996)
Jean-Marc Laferté, Fabrice Heitz, Patrick Pérez, Eric Fabre
Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. ICCV (1995)
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) (1995)
Étienne Mémin, Fabrice Heitz, François Charot
Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications. J. Parallel Distributed Comput. 29 (1) (1995)
Charles Kervrann, Fabrice Heitz
Robust Tracking of Stochastic Deformable Models in Long Image Sequences. ICIP (3) (1994)
Charles Kervrann, Fabrice Heitz
A hierarchical statistical framework for the segmentation of deformable objects in image sequences. CVPR (1994)
Jean-Marc Laferté, Patrick Pérez, Fabrice Heitz
Global non-linear multigrid optimization for image analysis tasks. ICASSP (5) (1994)
Étienne Mémin, Fabrice Heitz, François Charot
Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. CVPR (1994)
Fabrice Heitz, Patrick Bouthemy
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 15 (12) (1993)
Patrick Pérez, Fabrice Heitz
Multiscale Markov random fields and constrained relaxation in low level image analysis. ICASSP (1992)
Fabrice Heitz, Patrick Bouthemy
Motion estimation and segmentation using a global Bayesian approach. ICASSP (1990)
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) (1990)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fabrice Heitz