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Fabrice Heitz
Fabrice Heitz
Verified email at unistra.fr
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Year
Multimodal estimation of discontinuous optical flow using Markov random fields
F Heitz, P Bouthemy
IEEE Transactions on Pattern Analysis and Machine Intelligence 15 (12), 1217 …, 1993
4221993
Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution
M Bosc, F Heitz, JP Armspach, I Namer, D Gounot, L Rumbach
NeuroImage 20 (2), 643-656, 2003
3062003
Multiscale minimization of global energy functions in some visual recovery problems
F Heitz, P Perez, P Bouthemy
CVGIP: image understanding 59 (1), 125-134, 1994
2731994
Discrete Markov image modeling and inference on the quadtree
JM Laferté, P Pérez, F Heitz
IEEE Transactions on image processing 9 (3), 390-404, 2000
2712000
3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization
V Noblet, C Heinrich, F Heitz, JP Armspach
IEEE Transactions on image processing 14 (5), 553-566, 2005
1572005
A Markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics
C Kervrann, F Heitz
IEEE transactions on image processing 4 (6), 856-862, 1995
1511995
Topology preserving deformable image matching using constrained hierarchical parametric models
O Musse, F Heitz, JP Armspach
IEEE transactions on image processing 10 (7), 1081-1093, 2001
1312001
Affine-invariant geometric shape priors for region-based active contours
A Foulonneau, P Charbonnier, F Heitz
IEEE transactions on pattern analysis and machine intelligence 28 (8), 1352-1357, 2006
1212006
A hierarchical Markov modeling approach for the segmentation and tracking of deformable shapes
C Kervrann, F Heitz
Graphical Models and Image Processing 60 (3), 173-195, 1998
1071998
Hierarchical Markov random field models applied to image analysis: a review
C Graffigne, F Heitz, P Perez, FJ Preteux, M Sigelle, JB Zerubia
Neural, Morphological, and Stochastic Methods in Image and Signal Processing …, 1995
931995
A hierarchical statistical framework for the segmentation of deformable objects in image sequences
Kervrann, Heitz
1994 Proceedings of IEEE Conference on Computer Vision and Pattern …, 1994
931994
Registration of MR/MR and MR/SPECT brain images by fast stochastic optimization of robust voxel similarity measures
C Nikou, F Heitz, JP Armspach, IJ Namer, D Grucker
NeuroImage 8 (1), 30-43, 1998
891998
Restriction of a Markov random field on a graph and multiresolution statistical image modeling
P Perez, F Heitz
IEEE Transactions on Information Theory 42 (1), 180-190, 1996
811996
Retrospective evaluation of a topology preserving non-rigid registration method
V Noblet, C Heinrich, F Heitz, JP Armspach
Medical image analysis 10 (3), 366-384, 2006
792006
Statistical deformable model-based segmentation of image motion
C Kervrann, F Heitz
IEEE transactions on image processing 8 (4), 583-588, 1999
751999
Multi-reference shape priors for active contours
A Foulonneau, P Charbonnier, F Heitz
International journal of computer vision 81 (1), 68-81, 2009
732009
Geometric shape priors for region-based active contours
A Foulonneau, P Charbonnier, F Heitz
Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003
722003
Multimodal motion estimation and segmentation using Markov random fields
F Heitz, P Bouthemy
[1990] Proceedings. 10th International Conference on Pattern Recognition 1 …, 1990
711990
Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans
PH Conze, V Noblet, F Rousseau, F Heitz, V de Blasi, R Memeo, ...
International journal of computer assisted radiology and surgery 12, 223-233, 2017
692017
Liver tissue segmentation in multiphase CT scans using cascaded convolutional neural networks
F Ouhmich, V Agnus, V Noblet, F Heitz, P Pessaux
International journal of computer assisted radiology and surgery 14, 1275-1284, 2019
592019
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