Fabrice Heitz
Orcid: 0000-0002-3004-0957
According to our database1,
Fabrice Heitz
authored at least 99 papers
between 1989 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Disentangled representations: towards interpretation of sex determination from hip bone.
Vis. Comput., December, 2023
Disentangling high-level factors and their features with conditional vector quantized VAEs.
Pattern Recognit. Lett., August, 2023
2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
IEEE Trans. Image Process., 2021
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021
2019
Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks.
Int. J. Comput. Assist. Radiol. Surg., 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the 27th European Signal Processing Conference, 2019
2018
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. Comput. Assist. Radiol. Surg., 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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015
2014
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 Anal., 2013
On the estimation and correction of bias in local atrophy estimations using example atrophy simulations.
Comput. Medical Imaging Graph., 2013
2012
An efficient incremental strategy for constrained groupwise registration based on symmetric pairwise registration.
Pattern Recognit. Lett., 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 Anal., 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
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
2010
Medical Image Anal., 2010
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010
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
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009
Proceedings of the International Conference on Image Processing, 2009
2008
A Metric Multidimensional Scaling-Based Nonlinear Manifold Learning Approach for Unsupervised Data Reduction.
EURASIP J. Adv. Signal Process., 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 Anal., 2007
Proceedings of the International Conference on Image Processing, 2007
2006
IEEE Trans. Pattern Anal. Mach. Intell., 2006
Medical Image Anal., 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
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. Medical Imaging, 2005
3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization.
IEEE Trans. Image Process., 2005
A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations.
Parallel Comput., 2005
On the modeling, construction, and evaluation of a probabilistic atlas of brain perfusion.
NeuroImage, 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
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 Recognit., 2003
Pattern Recognit., 2003
Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution.
NeuroImage, 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
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
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
Proceedings of the 2003 International Conference on Image Processing, 2003
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
IEEE Trans. Medical Imaging, 2001
Topology preserving deformable image matching using constrained hierarchical parametric models.
IEEE Trans. Image Process., 2001
Proceedings of the Medical Imaging 2001: Image Processing, 2001
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
IEEE Trans. Image Process., 2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
Proceedings of the Medical Imaging 2000: Image Processing, 2000
Proceedings of the 15th International Conference on Pattern Recognition, 2000
Proceedings of the 2000 International Conference on Image Processing, 2000
Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000
Proceedings of the 2000 Conference on Computer Vision and Pattern Recognition (CVPR 2000), 2000
1999
IEEE Trans. Image Process., 1999
Robust voxel similarity metrics for the registration of dissimilar single and multimodal images.
Pattern Recognit., 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
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.
Graph. Model. Image Process., 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
Proceedings of the Computer Vision, 1998
1996
Restriction of a Markov random field on a graph and multiresolution statistical image modeling.
IEEE Trans. Inf. Theory, 1996
Proceedings of the 13th International Conference on Pattern Recognition, 1996
Proceedings of the 13th International Conference on Pattern Recognition, 1996
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 Process., 1995
J. Parallel Distributed Comput., 1995
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995
1994
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994
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
IEEE Trans. Pattern Anal. Mach. Intell., 1993
1992
Multiscale Markov random fields and constrained relaxation in low level image analysis.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992
1990
IEEE Trans. Acoust. Speech Signal Process., 1990
Proceedings of the 10th IAPR International Conference on Pattern Recognition, 1990
Proceedings of the 1990 International Conference on Acoustics, 1990
1989
Proceedings of the IEEE International Conference on Acoustics, 1989