Research Articles in International Journals

R1-1

F. Heitz, H. Maitre and C. de Couessin, Applications of Autoregressive Models to Fine Arts Painting Analysis, Signal Processing, Vol. 13, No 1, July 1987, pp. 1-14.

R1-2

F. Heitz, H. Maitre, C. de Couessin, Event Detection in Multisource Imaging : Application to Fine Arts Painting Analysis, IEEE Trans. Acoustic Speech Signal Processing, Vol 38, No 4, April 1990, pp. 695-704.

R1-3

F. Heitz, P. Bouthemy, Multimodal Estimation of Discontinuous Optical Flow Using Markov Random Fields, IEEE Trans. Pattern Analysis Machine Intelligence, Vol. 15, No 12, Dec. 1993, pp. 1217-1232.

R1-4

F. Heitz, P. Perez and P. Bouthemy, Multiscale Minimization of Global Energy Functions in Some Visual Recovery Problems, CVGIP : Image Understanding, Vol. 59, No 1, Jan. 1994, pp. 125-134.

R1-5

C. Kervrann et F. Heitz, A Markov random field Model-Based Approach to Unsupervised Texture Segmentation Using Local and Global Spatial Statistics, IEEE Trans. Image Processing, Vol. 4, No 6, June 1995, pp. 856-862.

R1-6

E. Memin, F. Heitz et F. Charot, Efficient Parallel Non-Linear Multigrid Relaxation Algorithms for Low-level Vision Applications, Journal of Parallel and Distributed Computing, Vol. 29, 1995, pp. 96-103.

R1-7

P. Perez et F. Heitz, Restriction of a Markov Random Field on a Graph and Multiresolution Statistical Image Modeling, IEEE Trans. Information Theory, Vol. 42, No 1, Jan. 1996, pp. 180-190.

R1-8

C. Kervrann et F. Heitz, A hierarchical Markov modeling approach for the segmentation and tracking of deformable shapes, Graphical Models and Image Processing, Vol. 60, No 3, May 1998, pp. 173-195.

R1-9

C. Nikou, F. Heitz, J.P. Armspach, I.J. Namer et D. Grucker, Registration of MR/MR and MR/SPECT brain images by fast stochastic optimization of robust voxel similarity measures, Neuroimage, Vol. 8, No 6, 1998, pp. 30-43.

R1-10

O. Musse, J.P. Armspach, I.J. Namer, F. Heitz et D. Grucker, Data-driven curvilinear reconstruction of 3D MR images, Magnetic Resonance Imaging, Vol. 16, No 7, 1998, pp 1227-1235.

R1-11

C. Kervrann, F. Heitz, Statistical deformable model-based segmentation of image motion, IEEE Trans. Image Processing, Vol. 8, No 4, April 1999, pp. 583-588.

R1-12

C. Nikou, F. Heitz et J.P. Armspach, Robust Voxel Similarity Metrics for the Registration of Dissimilar Single and Multimodal Images, Pattern Recognition, Vol. 32, No 8, 1999, pp. 1349-1366.

R1-13

J.-M. Laferté, P. Pérez, F. Heitz, Discrete Markov Image Modeling and Inference on the Quad-tree, IEEE Trans. on Image Proc., Vol. 9, No 3, March 2000, pp. 390-404.

R1-14

G. Bueno, O. Musse, F. Heitz, J.-P. Armspach, 3D Segmentation of Anatomical Structures in MR Images on Large Data bases, Magnetic Resonance Imaging, Vol 19/1, 2001, pp. 73-88.

R1-15

O. Musse, F. Heitz, J.-P. Armspach, Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models, IEEE Trans. on Image Proc., Vol. 10, No 7, July 2001, pp. 1081-1093.

R1-16

C. Nikou, G. Bueno, F. Heitz, J.-P. Armspach, A Joint Physics-Based Statistical Deformable Model for Multimodal Brain Image Analysis, IEEE Trans. on Medical Imaging., Vol. 20, No 10, Oct. 2001, pp. 1026-1037.

R1-17

R. Hamdan, F. Heitz, L. Thoraval, A Low Complexity Approximation of Probabilistic Appearance Models, Pattern Recognition, Vol. 36, No 5, May 2003, pp. 1107-1118.

R1-18

O. Musse, F. Heitz, J.-P. Armspach, Fast Deformable Matching of 3D Images over Multiscale Nested Subspaces. Application to Atlas-Based MRI Segmentation. Pattern Recognition, Vol. 36, No 8, August 2003, pp. 1881-1899.

R1-19

C. Nikou, F. Heitz, A. Nehlig, I.-J. Namer, J.-P. Armspach, A robust statistics-based global energy function for the alignment of serially acquired autoradiographic sections. Journal of Neuroscience Methods, Vol 124, No. 1, 2003, pp. 93-102.

R1-20

M. Bosc, F. Heitz, J.-P. Armspach, I. Namer, D. Gounot, L. Rumbach, Automatic Chance Detection in Multi-Modal Serial MRI: Application to Multiple Sclerosis Lesion Follow-up. NeuroImage, Vol. 20, No 2, Oct. 2003, pp 643-656.

R1-21

R. Dahyot, P. Charbonnier, F. Heitz, A Bayesian approach to object detection using probabilistic appearance-based models. Pattern Analysis and Applications, Vol. 7, No 3, Dec. 2004, pp. 317-332.

R1-22

T. Vik, F. Heitz, Izzie Namer, J.-P. Armspach, On the modeling, construction and evaluation of a probabilistic atlas of brain perfusion. Neuroimage, Vol 24/4, 2005, pp 1088-1098.

R1-23

C. Heinrich, V. Noblet, F. Heitz, J.-P. Armspach, 3-D deformable image registration: a topology preservation scheme based on hierarchical deformation models and interval analysis optimization. IEEE Transactions on Image Processing, accepted for publication, May 2004.

R1-24

S. Faisan, L. Thoraval, J.-P. Armspach, M.-N. Lutz, F. Heitz, Unsupervised learning and mapping of active brain functional MRI signals based on hidden semi-Markov event sequence models, IEEE Transactions on Medical Imaging, accepted for publication, October 2004.

R1-25

M. Salomon, F. Heitz, G.-R. Perrin, J.-P. Armspach, A massively parallel approach to deformable matching of 3D medical images via stochastic differential equations. Parallel Computing, accepted for publication, Nov. 2004.

Research Articles in National Journals

R2-1

P. Perez, F. Heitz, Une approche multiéchelle à l'analyse d'images par champs markoviens, Traitement du Signal, Vol. 9, No 6, 1992, pp. 459-472.

R2-2

C. Kervrann et F. Heitz, Segmentation non supervisée des images texturées : une approche statistique, Traitement du Signal, Vol. 11, No 1, 1994, pp. 31-41.

R2-3

C. Kervrann et F. Heitz, Modèles déformables statistiques pour l'analyse de structures 2D dans une séquence d'images, Technique et Science Informatiques, numéro spécial "Vision par ordinateur", Vol. 16, No 3, 1997, pp. 325-354.

R2-4

J.-M. Laferté, F. Heitz et P. Perez, Modèles markoviens d'images et algorithmes d'estimation non linéaire sur le quadarbre, Traitement du Signal, Vol. 15, No 3, Sept. 1998, pp. 213-230.

R2-5

C. Nikou, F. Heitz, J.P. Armspach et I.J. Namer, Mesures de similarité robustes pour le recalage d'images médicales multimodales, Traitement du Signal, Vol. 16, No 3, 1999, pp. 255-272.

R2-6

R. Hamdan, F. Heitz et L. Thoraval, Modèles probabilistes d'apparence : une représentation approchée de faible complexité, Traitement du Signal, Vol. 18, No 3, 2001, pp. 147-160.

R2-7

R. Dahyot, P. Charbonnier, F. Heitz, Détection robuste par modèle probabiliste d'apparence : une approche bayesienne, Traitement du Signal, Vol. 20, No 2, 2003, pp. 101-117.

R2-8

A. Foulonneau, P. Charbonnier, F. Heitz, Contraintes géométriques de formes pour les contours actifs orientés région : une approche basée sur les moments de Legendre, Traitement du Signal, Vol. 21, No 2, Sept. 2004, pp. 109-128.

Invited Conferences

C0-1

C. Graffigne, F. Heitz, F. Prêteux, M. Sigelle, J. Zerubia, Hierarchical and statistical models applied to image analyis, Conférence invitée, SPIE Conf. Neural, Morphological and Stochastic Methods in Image and Signal Processing, San Diego, USA, Juillet 1995.

C0-2

F. Heitz, F. Garcia, Approches markoviennes en reconnaissance des formes et intelligence artificielle, Tutoriel présenté à la conférence AFCET/RFIA 96, Rennes, Janvier 1996.

C0-3

F. Heitz, J.-P. Armspach, C. Heinrich, V. Noblet, Traitement des images médicales : du voxel aux atlas numériques. Colloque Imagerie pour les Sciences du Vivant et la Médecine IMVIE 2003, Strasbourg, Sept. 2003.

International Conferences

C1-1

C. Lahanier, F. Heitz, C. de Couessin and G. Querré, Digitization of Works of Art - Study and Conservation of Scientific Images, 12th Int. Symposium on the Conservation and Restoration of Cultural Property, Tokyo, 1989.

C1-2

F. Heitz, H. Maitre, C. de Couessin and M. Bernard, Event Detection in Multisource Imaging Using Contextual Estimation, 14th IEEE Int. Conf. Acoustics, Speech, and Signal Processing , Glasgow, May 1989.

C1-3

F. Heitz, P. Bouthemy, Motion Estimation and Segmentation Using a Global Bayesian Approach, 15th IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Albuquerque, Avril 1990.

C1-4

F. Heitz, P. Bouthemy, Multimodal Motion Estimation and Segmentation Using Markov Random Fields, 10th IEEE Int. Conf. Pattern Recognition, Atlantic City, Juin 1990.

C1-5

F. Heitz, E. Memin, P. Perez and P. Bouthemy, A Parallel Multiscale Relaxation Algorithm for Image Sequence Analysis, Proc. 1st Int. Colloquium Parallel Image Processing, Paris, juin 1991.

C1-6

F. Heitz, E. Memin, P. Bouthemy, Markov Random Fields and Parallel Algorithms for 2D Motion Analysis, Proc. 13th Imacs World Congress on Computation and Applied Mathematics, Dublin, July 1991.

C1-7

F. Heitz, E. Memin, P. Perez and P. Bouthemy, Parallel Relaxation Algorithms for the Statistical Analysis of Visual Motion, IEEE 7th Workshop on Multidimensional Signal Processing, Lake Placid, New-York, 23-25 sept. 1991.

C1-8

F. Heitz, P. Perez and P. Bouthemy, Parallel Visual Motion Analysis Using Multiscale Markov Random Fields, IEEE Workshop on Visual Motion, 7-10 Oct. 1991, Princeton, New Jersey.

C1-9

E. Memin, F, Charot and F. Heitz, Parallel Algorithms and Architectures for Multiscale Markov Random Field-Based Image Analysis, Workshop on Computer Architecture for Machine Perception, Paris, Dec. 1991.

C1-10

P. Perez and F. Heitz, Multiscale Markov Random Fields and Constrained Relaxation in Low Level Image Analysis, Proc. Int. Conf. Acoustic Speech Signal Proc. 92, San Francisco, March 1992.

C1-11

P. Perez and F. Heitz, Global Bayesian Estimation, Constrained Multiscale Markov Random Fields and the Analysis of Visual Motion, Proc. 12th Int. Maxent Workshop, Paris, July, 1992.

C1-12

F. Heitz and C. Kervrann, A Statistical Model-Based Approach for Unsupervised Texture Segmentation, 8th Scandinavian Conf. Image Analysis, Tromso, Norway, May, 1993.

C1-13

P. Perez et F. Heitz, Restriction of a Markov Random Field on a Graph : Application to Multiresolution Image Analysis, 8th IEEE Wokshop on Image and Multidimensional Signal Processing, Cannes, Sept. 1993.

C1-14

J.-M. Laferté, P. Perez et F. Heitz, Global Non Linear Multigrid Optimization for Image Analysis Tasks, accepté pour publication, Proc. Int. Conf. Acoustic Speech Signal Proc. 94, Adelaide, Australie.

C1-15

C. Kervrann et F. Heitz, A hierarchical statistical framework for the segmentation of deformable objects in image sequences, IEEE Conf. CVPR'94, Seattle, Juin 1994.

C1-16

E. Memin, F. Heitz et F. Charot, Efficient parallel multigrid relaxation algorithms for MRF based low-level vision applications, IEEE Conf. CVPR'94, Seattle, Juin 1994.

C1-17

A. Bellon, J.-P. Derutin, F. Heitz, Y. Ricquebourg, Real-time collision avoidance at road-crossings on board the Prometheus Prolab2 vehicle, IEEE Int. Symposium Intelligent Vehicles, Paris, Octobre 1994.

C1-18

C. Kervrann et F. Heitz, Robust tracking of stochastic deformable models in long image sequences, 1st IEEE Int. Conf. Image Processing ICIP'94, Austin, Texas, Nov. 1994.

C1-19

J.M. Laferte, F. Heitz, P. Perez and E. Fabre, Hierarchical statistical models for the fusion of multiresolution image data, Int. Conf. ICCV'95, Cambridge, USA, Juin 1995.

C1-20

C. Kervrann et F. Heitz, Learning structure and deformation modes of nonrigid objects in long image sequences, Int. Workshop Automatic Face and Gesture Recognition, IWAFGR95, Zurich, Juin 1995.

C1-21

C. Graffigne, F. Heitz, F. Prêteux, M. Sigelle, J. Zerubia, Hierarchical and statistical models applied to image analyis, Conférence invitée, SPIE Conf. Neural, Morphological and Stochastic Methods in Image and Signal Processing, San Diego, USA, Juillet 1995.

C1-22

J.M. Laferte, F. Heitz, P. Perez and E. Fabre, Hierarchical statistical models for the fusion of multiresolution image data, SPIE Conf. Neural, Morphological and Stochastic Methods in Image and Signal Processing, San Diego, USA, Juillet 1995.

C1-23

J.M. Laferte, F. Heitz and P. Perez, A multiresolution EM algorithm for unsupervised image classification, Int. Conf. ICPR 96, Vienne, Août 1996.

C1-24

C. Kervrann et F. Heitz, Statistical model-based segmentation of deformable motion, Int. Conf. ICIP'96, Lausanne, Sept. 1996.

C1-25

C. Nikou, F. Heitz, J.P. Armspach, I.J. Namer, Single and multimodal subvoxel registration of dissimilar medical images using robust similarity measures, SPIE Int. Conf. Medical Imaging, Vol. 3338, Feb. 1998.

C1-26

C. Nikou, F. Heitz and J.P. Armspach, Robust registration of dissimilar single and multimodal images, 5th European Conf. Computer Vision ECCV 98, Freiburg, Juin 1998.

C1-27

C. Nikou, F. Heitz and J.P. Armspach, Multimodal image registration using statistically constrained deformable multimodels, IEEE Int. Conf. Image Proc. ICIP 98, Chicago, Oct. 1998.

C1-28

C. Nikou, F. Heitz and J.P. Armspach, Brain segmentation from 3D MRI using statistically learned physics-based deformable models, IEEE Medical Imaging Conf. MIC 98, Toronto, Nov. 1998.

C1-29

C. Nikou, F. Heitz and J.P. Armspach, A probabilistic multi-object deformable model for MR/SPECT brain image registration and segmentation, SPIE Int. Conf. Medical Imaging, San Diego, Vol. 3361, Feb. 1999.

C1-30

R. Hamdan, F. Heitz and L. Thoraval, Gesture Localization and Recognition using Probabilistic Visual Learning, Int. Conf. Computer Vision and Pattern Recognition, CVPR'99, Fort Collins, June 1999.

C1-31

O. Musse, F. Heitz and J.P. Armspach, 3D Deformable Image Matching Using Multiscale Minimization of Global Energy Functions, IEEE Int. Conf. Computer Vision and Pattern Recognition, CVPR'99, Fort Collins, June 1999.

C1-32

R. Dahyot, P. Charbonnier and F. Heitz, Non-Supervised Robust Visual Recognition of Colour images using Half-Quadratic Theory, European Workshop on Content-Based Multimedia Indexing, Toulouse, France, October 1999.

C1-33

G. Bueno, F. Heitz, J.-P. Armspach, Three-dimensional watershed-based segmentation of internal structures within MR brain images, SPIE Int. Conf. Medical Imaging, San Diego, USA, Feb. 2000.

C1-34

O. Musse, F. Heitz, J.-P. Armspach, 3D deformable image matching: a hierarchical approach over nested subspaces, SPIE Int. Conf. Medical Imaging, San Diego, Feb. 2000.

C1-35

R. Dahyot, P. Charbonnier, F. Heitz, Robust Visual Recognition of Colour Images, IEEE Int. Conf. Computer Vision Pattern, CVPR 2000, Hilton Head Island, USA, June 2000.

C1-36

C. Nikou, F. Heitz, J.-P. Armspach, G. Bueno , A physically-based statistical deformable model for brain image analysis, European Conf. Computer Vision, ECCV 2000, Dublin, Ireland, June 2000.

C1-37

O. Musse, F. Heitz, J.-P. Armspach, Topology Preserving Deformable Image Matching Using Constrained Hierarchical Parametric Models, IEEE Int. Conf. Image Processing (ICIP2000), Vancouver, Canada, Sept. 2000.

C1-38

G. Bueno, F. Heitz, J.-P. Armspach, Construction of a 3D physically-based multi-object deformable model, IEEE Int. Conf. Image Processing (ICIP2000), Vancouver, Canada, Sept. 2000.

C1-39

V. Agnus, C. Ronse, F. Heitz, Spatio-temporal segmentation using morphological tools , 15th Int. Conf. Pattern Rec., ICPR 2000, Barcelona, Spain, Sept. 2000.

C1-40

G. Bueno, O. Musse, F. Heitz, J.-P. Armspach, Hybrid Atlas-Based and Image-Based Approach for Segmenting 3D Brain MRIs, SPIE Int. Conf. Medical Imaging, San Diego, Feb. 2001.

C1-41

R. Dahyot, P. Charbonnier, F. Heitz, Unsupervised Statistical Detection of Changing Objects in Camera-in-Motion Video, IEEE Int. Conf. Image Processing, ICIP 2001, Thessaloniki, Greece, Oct. 2001.

C1-42

M. Salomon, G.-R. Perrin and F. Heitz, Differential evolution for medical image registration, International Conference on Artificial Intelligence (IC-AI 2001), Las Vegas, USA, June 2001.

C1-43

M. Salomon, G.-R. Perrin and F. Heitz, Parallel sampling with stochastic differential equations for 3D deformable matching of medical images, 2002 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2002), Las Vegas, USA, June 2002.

C1-44

S. Faisan, L. Thoraval, J.-P. Armspach, F. Heitz, Hidden Semi-Markov Event Sequence Models: Application to Brain Functional MRI Sequence Analysis, IEEE Int. Conf. Image Processing, ICIP 2002, Rochester, USA, Sept. 2002.

C1-45

A. Foulonneau, P. Charbonnier, F. Heitz, Geometric shape priors for region-based active contours, IEEE Int. Conf. Image Processing, ICIP 2003, Barcelona, Spain, Sept. 2003.

C1-46

M. Bosc, F. Heitz, J.-P. Armspach, Statistical atlas-based sub-voxel segmentation of 3D brain MRI, IEEE Int. Conf. Image Processing, ICIP 2003, Barcelona, Spain, Sept. 2003.

C1-47

T. Vik, F. Heitz, P. Charbonnier, Mean shift-based bayesian image reconstruction into visual subspace, IEEE Int. Conf. Image Processing, ICIP 2003, Barcelona, Spain, Sept. 2003.

C1-48

M. Bosc, T. Vik, J.-P. Armspach, F. Heitz, ImLib3D : A High Performance, Open Source, Medical Image Processing Framework in C++, Medical Image Computing and Computer Assisted Intervention, MICCAI 2003, short paper, Montreal, Canada, Nov. 2003.

C1-49

S. Faisan, L. Thoraval, J.-P. Armspach, F. Heitz, Unsupervised learning and mapping of brain fMRI signals based on hidden semi-Markov event sequence models, Medical Image Computing and Computer Assisted Intervention, MICCAI 2003, long paper, Montreal, Canada, Nov. 2003.

C1-50

V. Noblet, C. Heinrich, F. Heitz, J.-P. Armspach, A topology preserving method for 3D non rigid brain image registration, Medical Image Computing and Computer Assisted Intervention, MICCAI 2003, short paper, Montreal, Canada, Nov. 2003.

C1-51

T. Vik, F. Heitz, J.-P. Armspach, Statistical atlas-based detection of abnormalities in brain perfusion: comparing models and estimating detection performance, Medical Image Computing and Computer Assisted Intervention, MICCAI 2003, long paper, Montreal, Canada, Nov. 2003.

National Conferences

C2-1

F. Heitz et H. Maitre, Détection d'événements en imagerie multisource, 11^èmes colloque GRETSI, Nice, 1987.

C2-2

F. Heitz, P. Bouthemy, Estimation et segmentation du mouvement : approche bayesienne et modélisation markovienne des occlusions, 7^èmes congrès AFCET/INRIA Reconnaissance des Formes et Intelligence Artificielle, Paris, Nov. 1989.

C2-3

P. Bouthemy, F. Heitz, P. Lalande, E. François, Analyse du mouvement et modélisation par champs markoviens, Proc. XXII^èmes Journées de Statistique, Tours, Mai 1990.

C2-4

E. Memin et F. Heitz, Parallélisation des algorithmes d'analyse d'images par champs markoviens dans un contexte pyramidal, 13^èmes Colloque GRETSI, Juan-les-Pins, 16-20 sept. 1991.

C2-5

P. Perez, F. Heitz, Une approche multiéchelle à l'analyse d'images par champs markoviens, 8^èmes congrès AFCET/INRIA Reconnaissance des Formes et Intelligence Artificielle, Lyon, Nov. 1991.

C2-6

C. Kervrann, F. Heitz et P. Bouthemy, Vers une segmentation non supervisée des images naturelles texturées : une approche markovienne, 2^èmes Journées Internationales Informatique 93, L'interface des mondes réels et virtuels, Montpellier, Mars, 1993.

C2-7

P. Perez et F. Heitz, Restriction d'un champ markovien sur un graphe et analyse d'images multirésolution, 14^èmes Colloque GRETSI, Juan Les Pins, Sept. 1993.

C2-8

E. Memin, F. Heitz et F. Charot, Algorithmes parallèles pour les champs markoviens multiéchelles : spécification et mise en uvre sur une architecture SIMD, 14^èmes Colloque GRETSI, Juan Les Pins, 13-16 Sept. 1993.

C2-9

R. Canals J.P. Dérutin et F.Heitz, Segmentation spatio-temporelle sur machine parallèle de vision : TRANSVISION, 14^èmes Colloque GRETSI, Juan Les Pins, Sept. 1993.

C2-10

C. Kervrann, F. Heitz et Y. Ricquebourg, Modélisation et segmentation d'objets déformables dans des séquences d'images : une approche statistique, Colloque Automatique, Génie Informatique Image, AGI'94, Poitiers, Juin 1994.

C2-11

J.M. Laferte, F. Heitz, P. Perez et E. Fabre, Fusion d'images multirésolutions par modèles markoviens hiérarchiques, 15^èmes Colloque GRETSI, Juan Les Pins, Sept. 1995.

C2-12

C. Kervrann et F. Heitz, Apprentissage non supervisé et suivi de structures déformables dans des séquences d'images, 10^èmes Congrès AFCET/RFIA, Rennes, Janvier 1996.

C2-13

J.M. Laferte, F. Heitz, P. Perez et E. Fabre, Algorithmes de Viterbi pour la fusion d'images multirésolutions sur un graphe hiérarchique, 10^èmes Congrès AFCET/RFIA, Rennes, Janvier 1996.

C2-14

C. Nikou, J.-P. Armspach, F. Heitz, D. Grucker, Recalage sous-voxel d'images médicales multimodales par une approche robuste, 16^èmes Colloque GRETSI, Grenoble, Sept. 1997.

C2-15

R. Dahyot, P. Charbonnier, F. Heitz, Reconnaissance robuste non-supervisée d'images en couleur utilisant la théorie semi-quadratique, 17^èmes Colloque GRETSI, Vannes, Sept. 1999.

C2-16

O. Musse, F. Heitz, J.-P. Armspach, Recalage non rigide et dense d'images volumiques par une approche multiéchelle continue, 17^èmes Colloque GRETSI, Vannes, Sept. 1999.

C2-17

R. Hamdan, F. Heitz, L. Thoraval, Segmentation et reconnaissance du geste : une approche par MMC et modèle probabiliste d'apparence, 17^ème Colloque GRETSI, Vannes, Sept. 1999.

C2-18

V. Agnus, C. Ronse, F. Heitz, Segmentation spatiotemporelle morphologique de séquences d'images, 12ème Congrès Francophone "Reconnaissance des Formes et Intelligence Artificielle", Paris, France, Fév. 2000.

C2-19

R. Dahyot, P. Charbonnier, F. Heitz, Détection d'événements dans une séquence d'images avec caméra en mouvement, 18^ème Colloque GRETSI, Toulouse, France, Sept. 2001.

C2-20

A. Foulonneau, P. Charbonnier, F. Heitz, Contraintes de forme géométriques pour les contours actifs orientés région, 19^ème Colloque GRETSI, Paris, France, Sept. 2003.

C2-21

A. Foulonneau, P. Charbonnier, F. Heitz, Contours actifs orientés région et contrainte géométrique de forme, Actes des journées scientifiques du LCPC, pp. 183-188, Journées des Sciences de l'Ingénieur du réseau des laboratoires des ponts et chaussées, Dourdan, 9-11 décembre 2003.

PHD, Dissertations

T1

F. Heitz, Restitution de la radiographie d'un tableau dissimulé par une composition postérieure. Contribution à la détection de changements en imagerie multisource, Thèse de doctorat, Télécom Paris, ENST - 88E013, Octobre 1988.

T2

F. Heitz, Contribution à l'analyse statistique de l'image : modèles, algorithmes et applications, Document de synthèse présenté en vue de l'obtention de l'habilitation à diriger des recherches, Octobre 1993.

Other publications

C. Graffigne, F. Heitz, F. Prêteux, M. Sigelle, J. Zerubia, Modèles markoviens hiérarchiques pour l'analyse d'images, rapport de synthèse, GDR Traitement du Signal et des Images, CNRS, 184 pages, Novembre 1994.

C. Nikou, J.P. Armspach, I.J. Namer, L. Rumbach, D. Grucker et F. Heitz, Automated registration of MRI for the follow-up of multiple sclerosis patients , 13th Conf. European Society for Magnetic Resonance in Medecine and Biology SMRMB'96, Prague, Sept. 1996 , paru dans Magnetic Resonance Materials in Physics, Biology and Medecine (MAG-MA), Vol. 4, No 2, 1996, pp. 291.

C. Nikou, I.-J. Namer, J.-P. Armspach, F. Heitz, D. Grucker, Recalage d'images IRM-TEMP par une approche robuste, 36 ème Colloque de Médecine Nucléaire, St-Malo, Oct. 1997.

J.P. Armspach, T. Boudjerda, I. Namer, F. Heitz, L. Rumbach, D. Gounot, Y. Chevalier, C. Clerc, D. Grucker, Automatic detection of change in serial MRI using a generalized likelihood ratio test method, 16th Annual meeting European Society for Magnetic Resonance in Medicine and Biology, 16-19 Septembre (1999) Seville, (Résumé paru dans : MAGMA Vol 8 Suppl 1 page 195).

J.P. Armspach, T. Boudjerda, I. Namer, F. Heitz, L. Rumbach, D. Gounot, Y. Chevalier, C. Clerc, D. Grucker, Automatic detection of multiple sclerosis lesions evolution in serial MRI. 15th Congress of ECTRIMS, 15-18 Septembre 1999 Bale.

O. Musse, J.P. Armspach, I.Namer, F. Heitz, D. Grucker, Curvilinear representation of 3D magnetic resonance imaging of the brain cortex in patients with cryptogenic extra-temporal epilepsy. 16th Annual meeting European Society for Magnetic Resonance in Medicine and Biology, 16-19 Septembre (1999) Seville, (Résumé paru dans : MAGMA Vol 8 Suppl 1 page 196).

J.P. Armspach, I. Namer, Y. Chevalier, D. Gounot, F. Heitz, D. Grucker, C. Clerc, L. Rumbach, Monotoring the evolution of Multiple Sclerosis Lesions on serial MRI : Automatic detection using a generalized likelihood ratio test method, 52th American Academy of Neurology Annual Meeting, April 2000 San Diego.