Fabrice Heitz

According to our database1, Fabrice Heitz authored at least 85 papers between 1990 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2018
Robust Supervoxel Matching Combining Mid-Level Spectral and Context-Rich Features.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2018

Long-term superpixel tracking using unsupervised learning and multi-step integration.
Proceedings of the 4th International Conference on Advanced Technologies for Signal and Image Processing, 2018

2017
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans.
Int. J. Computer Assisted Radiology and Surgery, 2017

Hierarchical multi-scale supervoxel matching using random forests for automatic semi-dense abdominal image registration.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Which is the most appropriate strategy for conducting multivariate voxel-based group studies on diffusion tensors?
NeuroImage, 2016

Random forests on hierarchical multi-scale supervoxels for liver tumor segmentation in dynamic contrast-enhanced CT scans.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Modèles déformables contraints en reconstruction tomographique par temps de première arrivée.
Traitement du Signal, 2015

Semi-automatic Liver Tumor Segmentation in Dynamic Contrast-Enhanced CT Scans Using Random Forests and Supervoxels.
Proceedings of the Machine Learning in Medical Imaging - 6th International Workshop, 2015

Which Manifold Should be Used for Group Comparison in Diffusion Tensor Imaging?
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
General linear models for group studies in diffusion tensor imaging.
Proceedings of the IEEE 11th International Symposium on Biomedical Imaging, 2014

2013
Longitudinal change detection: Inference on the diffusion tensor along white matter pathways.
Medical Image Analysis, 2013

On the estimation and correction of bias in local atrophy estimations using example atrophy simulations.
Comp. Med. Imag. and Graph., 2013

2012
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration.
Pattern Recognition Letters, 2012

Longitudinal change detection in diffusion MRI using multivariate statistical testing on tensors.
NeuroImage, 2012

Generalized likelihood ratio tests for change detection in diffusion tensor images: Application to multiple sclerosis.
Medical Image Analysis, 2012

2011
Longitudinal Change Detection: Inference on the Diffusion Tensor Along White-Matter Pathways.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011, 2011

A new high order tensor decomposition: Application to reorientation.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010
Evaluation of brain atrophy estimation algorithms using simulated ground-truth data.
Medical Image Analysis, 2010

Change Detection in Diffusion MRI Using Multivariate Statistical Testing on Tensors.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

2009
Multi-Reference Shape Priors for Active Contours.
International Journal of Computer Vision, 2009

Use of Simulated Atrophy for Performance Analysis of Brain Atrophy Estimation Approaches.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Statistical Detection of Longitudinal Changes between Apparent Diffusion Coefficient Images: Application to Multiple Sclerosis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2009

Generalized Likelihood Ratio Tests for Change Detection in Diffusion Tensor Images.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

Introducing shape priors in object-based tomographic reconstruction.
Proceedings of the International Conference on Image Processing, 2009

2008
Accurate Inversion of 3-D Transformation Fields.
IEEE Trans. Image Processing, 2008

A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction.
EURASIP J. Adv. Sig. Proc., 2008

Symmetric Nonrigid Image Registration: Application to Average Brain Templates Construction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

2007
Robust Pose Estimation and Recognition Using Non-Gaussian Modeling of Appearance Subspaces.
IEEE Trans. Pattern Anal. Mach. Intell., 2007

Hidden Markov multiple event sequence models: A paradigm for the spatio-temporal analysis of fMRI data.
Medical Image Analysis, 2007

Unsupervised Nonlinear Manifold Learning.
Proceedings of the International Conference on Image Processing, 2007

2006
Affine-Invariant Geometric Shape Priors for Region-Based Active Contours.
IEEE Trans. Pattern Anal. Mach. Intell., 2006

Retrospective evaluation of a topology preserving non-rigid registration method.
Medical Image Analysis, 2006

Hidden Markovian Modeling and Analysis of Multiple-Event-Sequence-Based Random Processes. Application to Robust Detection of Brain Functional Activation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Affine-Invariant Multi-reference Shape Priors for Active Contours.
Proceedings of the Computer Vision, 2006

2005
Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models.
IEEE Trans. Med. Imaging, 2005

3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization.
IEEE Trans. Image Processing, 2005

A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations.
Parallel Computing, 2005

Unsupervised spatio-temporal detection of brain functional activation based on hidden Markov multiple event sequence models.
Proceedings of the Medical Imaging 2005: Image Processing, 2005

2004
A Bayesian approach to object detection using probabilistic appearance-based models.
Pattern Anal. Appl., 2004

A Topology Preserving Non-rigid Registration Method Using a Symmetric Similarity Function-Application to 3-D Brain Images.
Proceedings of the Computer Vision, 2004

2003
Fast deformable matching of 3D images over multiscale nested subspaces. Application to atlas-based MRI segmentation.
Pattern Recognition, 2003

A low complexity approximation of probabilistic appearance models.
Pattern Recognition, 2003

Statistical Atlas-Based Detection of Abnormalities in Brain Perfusion: Comparing Models and Estimating Detection Performance.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

A Topology Preserving Method for 3-D Non-rigid Brain Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Unsupervised Learning and Mapping of Brain fMRI Signals Based on Hidden Semi-Markov Event Sequence Models.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

ImLib3D: An Efficient, Open Source, Medical Image Processing Framework in C++.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003

Mean shift-based Bayesian image reconstruction into visual subspace.
Proceedings of the 2003 International Conference on Image Processing, 2003

Geometric shape priors for region-based active contours.
Proceedings of the 2003 International Conference on Image Processing, 2003

Statistical atlas-based sub-voxel segmentation of 3D brain MRI.
Proceedings of the 2003 International Conference on Image Processing, 2003

2002
Parallel Sampling with Stochastic Differential Equations for 3D Deformable Matching of Medical Images.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2002

Hidden semi-Markov event sequence models: application to brain functional MRI sequence analysis.
Proceedings of the 2002 International Conference on Image Processing, 2002

2001
A Physically-based Statistical Deformable Model for Brain Image Analysis.
IEEE Trans. Med. Imaging, 2001

Topology preserving deformable image matching using constrained hierarchical parametric models.
IEEE Trans. Image Processing, 2001

Hybrid atlas-based and image-based approach for segmenting 3D brain MRIs.
Proceedings of the Medical Imaging 2001: Image Processing, 2001

Unsupervised statistical detection of changing objects in camera-in-motion video.
Proceedings of the 2001 International Conference on Image Processing, 2001

2000
Discrete Markov image modeling and inference on the quadtree.
IEEE Trans. Image Processing, 2000

3D deformable image matching: a hierarchical approach over nested subspaces.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

3D watershed-based segmentation of internal structures within MR brain images.
Proceedings of the Medical Imaging 2000: Image Processing, 2000

Spatio-Temporal Segmentation Using 3D Morphological Tools.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models.
Proceedings of the 2000 International Conference on Image Processing, 2000

Construction of a 3D Physically-Based Multi-Object Deformable Model.
Proceedings of the 2000 International Conference on Image Processing, 2000

A Physically-Based Statistical Deformable Model for Brain Image Analysis.
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

Robust Visual Recognition of Color Images Rozenn Dahyot, Pierre.
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000

1999
Statistical deformable model-based segmentation of image motion.
IEEE Trans. Image Processing, 1999

Robust voxel similarity metrics for the registration of dissimilar single and multimodal images.
Pattern Recognition, 1999

Probabilistic multiobject deformable model for MR/SPECT brain image registration and segmentation.
Proceedings of the Medical Imaging 1999: Image Processing, 1999

3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Gesture Localization and Recognition using Probabilistic Visual Learning.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

1998
A Hierarchical Markov Modeling Approach for the Segmentation and Tracking of Deformable Shapes.
Graphical Models and Image Processing, 1998

Single- and multimodal subvoxel registration of dissimilar medical images using robust similarity measures.
Proceedings of the Medical Imaging 1998: Image Processing, 1998

Multimodal Image Registration using Statistically Constrained Deformable Multimodels.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Robust Registration of Dissimilar Single and Multimodal Images.
Proceedings of the Computer Vision, 1998

1996
Restriction of a Markov random field on a graph and multiresolution statistical image modeling.
IEEE Trans. Information Theory, 1996

A multiresolution EM algorithm for unsupervised image classification.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Statistical model-based estimation and tracking of non-rigid motion.
Proceedings of the 13th International Conference on Pattern Recognition, 1996

Statistical model-based segmentation of deformable motion.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics.
IEEE Trans. Image Processing, 1995

Efficient Parallel Nonlinear Multigrid Algorithms for Low-Level Vision Applications.
J. Parallel Distrib. Comput., 1995

Hierarchical Statistical Models for the Fusion of Multiresolution Image Data.
ICCV, 1995

1994
Robust Tracking of Stochastic Deformable Models in Long Image Sequences.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

Global non-linear multigrid optimization for image analysis tasks.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Efficient parallel multigrid relaxation algorithms for Markov random field-based low-level vision applications.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

A hierarchical statistical framework for the segmentation of deformable objects in image sequences.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1994

1993
Multimodal Estimation of Discontinuous Optical Flow using Markov Random Fields.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

1990
Event detection in multisource imaging: application to fine arts painting analysis.
IEEE Trans. Acoustics, Speech, and Signal Processing, 1990


  Loading...