| 2022 | ICIP | Joint Disentanglement of Labels and Their Features with VAE. | Kaifeng Zou, Sylvain Faisan, Fabrice Heitz, Sbastien Valette |
| 2019 | ICASSP | Anomaly Detection in Single Subject vs Group Using Manifold Learning. | Florian Tilquin, Sylvain Faisan, Fabrice Heitz, Vincent Noblet, Frdric Blanc, Izzie Namer |
| 2018 | ATSIP | Long-term superpixel tracking using unsupervised learning and multi-step integration. | Pierre-Henri Conze, Florian Tilquin, Mathieu Lamard, Fabrice Heitz, Gwenol Quellec |
| 2018 | MICCAI | Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features. | Florian Tilquin, Pierre-Henri Conze, Patrick Pessaux, Mathieu Lamard, Gwenol Quellec, Vincent Noblet, Fabrice Heitz |
| 2015 | MICCAI | Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging? | Alix Bouchon, Vincent Noblet, Fabrice Heitz, Julien Lamy, Frdric Blanc, Jean-Paul Armspach |
| 2015 | MICCAI | Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels. | Pierre-Henri Conze, Franois Rousseau, Vincent Noblet, Fabrice Heitz, Riccardo Memeo, Patrick Pessaux |
| 2011 | MICCAI | Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways. | Antoine Grigis, Vincent Noblet, Frdric Blanc, Fabrice Heitz, Jrme de Seze, Jean-Paul Armspach |
| 2010 | MICCAI | Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors. | Antoine Grigis, Vincent Noblet, Flix Renard, Fabrice Heitz, Jean-Paul Armspach, Lucien Rumbach |
| 2009 | ICIP | Introducing shape priors in object-based tomographic reconstruction. | Gil Gaullier, Pierre Charbonnier, Fabrice Heitz |
| 2009 | MICCAI | Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis. | Herv Boisgontier, Vincent Noblet, Flix Renard, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach |
| 2009 | MICCAI | Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches. | Swati Sharma, Vincent Noblet, Franois Rousseau, Fabrice Heitz, Lucien Rumbach, Jean-Paul Armspach |
| 2008 | MICCAI | Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction. | Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach |
| 2007 | ICIP | Unsupervised Nonlinear Manifold Learning. | Matthieu Brucher, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach |
| 2006 | ECCV | Affine-Invariant Multi-reference Shape Priors for Active Contours. | Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz |
| 2006 | ICASSP | 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 |
| 2004 | ECCV | 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 |
| 2003 | ICIP | Statistical atlas-based sub-voxel segmentation of 3D brain MRI. | Marcel Bosc, Fabrice Heitz, Jean-Paul Armspach |
| 2003 | ICIP | Geometric shape priors for region-based active contours. | Alban Foulonneau, Pierre Charbonnier, Fabrice Heitz |
| 2003 | ICIP | Mean shift-based Bayesian image reconstruction into visual subspace. | Torbjrn Vik, Fabrice Heitz, Pierre Charbonnier |
| 2003 | MICCAI | ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++. | Marcel Bosc, Torbjrn Vik, Jean-Paul Armspach, Fabrice Heitz |
| 2003 | MICCAI | 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 |
| 2003 | MICCAI | A Topology Preserving Method for 3-D Non-rigid Brain Image Registration. | Vincent Noblet, Christian Heinrich, Fabrice Heitz, Jean-Paul Armspach |
| 2003 | MICCAI | Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance. | Torbjrn Vik, Fabrice Heitz, Jean-Paul Armspach |
| 2002 | ICIP | Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis. | Sylvain Faisan, Laurent Thoraval, Jean-Paul Armspach, Fabrice Heitz |
| 2002 | PDPTA | Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images. | Michel Salomon, Guy-Ren Perrin, Fabrice Heitz |
| 2001 | ICIP | Unsupervised statistical detection of changing objects in camera-in-motion video. | Rozenn Dahyot, Pierre Charbonnier, Fabrice Heitz |
| 2000 | CVPR | Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre. | Pierre Charbonnier, Fabrice Heitz |
| 2000 | ECCV | A Physically-Based Statistical Deformable Model for Brain Image Analysis. | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach, Gloria Bueno |
| 2000 | ICIP | Construction of a 3D Physically-Based Multi-Object Deformable Model. | Gloria Bueno, Christophoros Nikou, Olivier Musse, Fabrice Heitz, Jean-Paul Armspach |
| 2000 | ICIP | Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models. | Olivier Musse, Fabrice Heitz, Jean-Paul Armspach |
| 2000 | ICPR | Spatio-Temporal Segmentation Using 3D Morphological Tools. | Vincent Agnus, Christian Ronse, Fabrice Heitz |
| 1999 | CVPR | Gesture Localization and Recognition using Probabilistic Visual Learning. | Raouf Hamdan, Fabrice Heitz, Laurent Thoraval |
| 1999 | CVPR | 3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions. | Olivier Musse, Fabrice Heitz, Jean-Paul Armspach |
| 1998 | ECCV | Robust Registration of Dissimilar Single and Multimodal Images. | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach |
| 1998 | ICIP | Multimodal Image Registration using Statistically Constrained Deformable Multimodels. | Christophoros Nikou, Fabrice Heitz, Jean-Paul Armspach |
| 1996 | ICIP | Statistical model-based segmentation of deformable motion. | Charles Kervrann, Fabrice Heitz |
| 1996 | ICPR | Statistical model-based estimation and tracking of non-rigid motion. | Charles Kervrann, Fabrice Heitz, Patrick Prez |
| 1996 | ICPR | A multiresolution EM algorithm for unsupervised image classification. | Jean-Marc Lafert, Fabrice Heitz, Patrick Prez |
| 1995 | ICCV | Hierarchical Statistical Models for the Fusion of Multiresolution Image Data. | Jean-Marc Lafert, Fabrice Heitz, Patrick Prez, Eric Fabre |
| 1994 | CVPR | A hierarchical statistical framework for the segmentation of deformable objects in image sequences. | Charles Kervrann, Fabrice Heitz |
| 1994 | CVPR | Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications. | tienne Mmin, Fabrice Heitz, Franois Charot |
| 1994 | ICASSP | Global non-linear multigrid optimization for image analysis tasks. | Jean-Marc Lafert, Patrick Prez, Fabrice Heitz |
| 1994 | ICIP | Robust Tracking of Stochastic Deformable Models in Long Image Sequences. | Charles Kervrann, Fabrice Heitz |
| 1992 | ICASSP | Multiscale Markov random fields and constrained relaxation in low level image analysis. | Patrick Prez, Fabrice Heitz |
| 1990 | ICASSP | Motion estimation and segmentation using a global Bayesian approach. | Fabrice Heitz, Patrick Bouthemy |
| 1990 | ICPR | Multimodal motion estimation and segmentation using Markov random fields. | Fabrice Heitz, Patrick Bouthemy |
| 1989 | ICASSP | Event detection in multisource imaging using contextual estimation. | Fabrice Heitz, Henri Matre, Marc Bernard, Charles de Couessin |