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 | 422 | 1993 |
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 | 310 | 2003 |
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 | 273 | 1994 |
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 | 271 | 2000 |
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 | 158 | 2005 |
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 | 151 | 1995 |
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 | 132 | 2001 |
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 | 122 | 2006 |
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 | 107 | 1998 |
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 | 93 | 1995 |
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 | 93 | 1994 |
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 | 89 | 1998 |
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 | 81 | 1996 |
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 | 80 | 2006 |
Statistical deformable model-based segmentation of image motion C Kervrann, F Heitz IEEE transactions on image processing 8 (4), 583-588, 1999 | 75 | 1999 |
Multi-reference shape priors for active contours A Foulonneau, P Charbonnier, F Heitz International journal of computer vision 81 (1), 68-81, 2009 | 73 | 2009 |
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 | 72 | 2017 |
Geometric shape priors for region-based active contours A Foulonneau, P Charbonnier, F Heitz Proceedings 2003 International Conference on Image Processing (Cat. No …, 2003 | 72 | 2003 |
Multimodal motion estimation and segmentation using Markov random fields F Heitz, P Bouthemy [1990] Proceedings. 10th International Conference on Pattern Recognition 1 …, 1990 | 71 | 1990 |
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 | 59 | 2019 |