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?. Expert and . Le, special fund for research " de l'université d'Anvers,m Belgique, 2001. ? Expert pour l'ACI " masses de données, 2003.

]. L. Aurdal, X. Descombes, H. Ma??trema??tre, I. Bloch, C. Adamsbaum et al., Fully automated analysis of adrenoleukodystrophy from dual echo MR-images, Liste des Publications CAR'95, pp.35-40, 1995.

N. Baghdadi, A. Bourguignon, X. Descombes, C. Parent, J. F. Desprat et al., MAJOR : utilisation des différents capteurs satellitaires pour la misè a jour des indicateurs liés auxprobì emes de ressources hydrogéologiques etminì eres en afrique, 2001.

F. Cerdat, X. Descombes, and E. J. Zerubia, Urban scene rendering using object description, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003.
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A. Crouzil, X. Descombes, and J. D. Durou, A multiresolution approach for shape shading coupling deterministic and stochastic optimization, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.25, issue.11, pp.1416-1421, 2003.
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URL : https://hal.archives-ouvertes.fr/inria-00071578

X. Descombes, Modélisation de la vision humaine. ENST-Dpt Image, 1989.

X. Descombes, Diffusion, processus de Markov et Martingales, 1990.

X. Descombes, Champs markoviens en analyse d'images, Thèse de doctorat, 1993.

X. Descombes, A fission and fusion Markovian approach for multi-channel segmentation, 1995 International Geoscience and Remote Sensing Symposium, IGARSS '95. Quantitative Remote Sensing for Science and Applications, pp.124-127, 1995.
DOI : 10.1109/IGARSS.1995.519667

X. Descombes, Application of stochastic techniques in image processing for automatic tissue classification in MRI and blood vessel restoration in MRA, Laboratory for Medical Imaging Research, 1996.

X. Descombes, A Dense Class of Markov Random Fields and Associated Parameter Estimation, Journal of Visual Communication and Image Representation, vol.8, issue.3, pp.299-316, 1997.
DOI : 10.1006/jvci.1997.0357

X. Descombes, S. Drot, M. Imberty, H. Le-men, and E. J. Zerubia, Segmentation d'image haute résolution par processus Markov objet Séminaire TélédétectionTélédétection`Télédétectionà très haute résolution spatiale et analyse d'image, Cemagref Edition, p.14, 1999.

X. Descombes, J. D. Durou, and E. D. Petit, Recuit simulé pour le " shape from shading, GRETSI'01, 2001.

X. Descombes and Y. Goussard, Approche bayésienne pour lesprobì emes inverses, chapitre "Probì emes non supervisés " . Number 8 in Traités IC2, 2001.

X. Descombes, C. Hivernat, S. Randriamasy, and E. J. Zerubia, Graph-matching model using gibbsian modeling: application to map-SPOT image roads network, SPIE conference on Mathematical Modeling, Bayesian Estimation and Inverse Problems, pp.2-10, 1999.
DOI : 10.1117/12.351309

X. Descombes and F. Kruggel, A Markov pixon information approach for low-level image description, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.21, issue.6, pp.482-494, 1999.
DOI : 10.1109/34.771311

X. Descombes, F. Kruggel, and Y. Von-cramon, fMRI Signal Restoration Using a Spatio-Temporal Markov Random Field Preserving Transitions, NeuroImage, vol.8, issue.4, pp.340-349, 1998.
DOI : 10.1006/nimg.1998.0372

X. Descombes, F. Kruggel, and Y. Von-cramon, Spatio-temporal fMRI analysis using Markov random fields, IEEE Transactions on Medical Imaging, vol.17, issue.6, pp.1028-1039, 1998.
DOI : 10.1109/42.746636

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.218.7499

X. Descombes, F. Kruggel, G. Wollny, and H. J. Gertz, An Object-Based Approach for Detecting Small Brain Lesions: Application to Virchow-Robin Spaces, IEEE Transactions on Medical Imaging, vol.23, issue.2
DOI : 10.1109/TMI.2003.823061

X. Descombes, J. Mangin, E. Pechersky, and E. M. Sigelle, Fine structure preserving Markov model for image processing, SCIA'95, pp.349-356, 1995.

X. Descombes, M. Moctezuma, H. Ma??trema??tre, and J. P. Rudant, Coastline detection by a Markovian segmentation on SAR images, Signal Processing, vol.55, issue.1, pp.123-132, 1996.
DOI : 10.1016/S0165-1684(96)00125-9

X. Descombes, R. Morris, and E. J. Zerubia, Quelques améliorations la segmentation d'images bayesienne .premì ere partie: modélisation, Traitement du Signal, vol.14, issue.4, pp.373-382, 1997.

X. Descombes, R. Morris, and E. J. Zerubia, Quelques améliorations la segmentation d'images bayesienne .deuxì eme partie: classification, Traitement du Signal, vol.14, issue.4, pp.383-393, 1997.

X. Descombes, R. Morris, J. Zerubia, and E. M. Berthod, Maximum likelihood estimation of markovian prior parameters using Markov chain Monte Carlo, EMMCVPR, 1997.

X. Descombes, R. Morris, J. Zerubia, and E. M. Berthod, Estimation of Markov random field prior parameters using Markov chain Monte Carlo maximum likelihood, IEEE Transactions on Image Processing, vol.8, issue.7, pp.954-963, 1999.
DOI : 10.1109/83.772239

URL : https://hal.archives-ouvertes.fr/inria-00073679

X. Descombes and E. Pechersky, Isotropic properties of some multi-body interaction models, pp.133-144, 1999.
URL : https://hal.archives-ouvertes.fr/inria-00072910

X. Descombes and E. Pechersky, Metropolis vs Kawasaki Dynamic for Image Segmentation Based on Gibbs Models, EMMCVPR, Lecture Note in Computer Science 1654, pp.99-114, 1999.
DOI : 10.1007/3-540-48432-9_8

X. Descombes and E. Pechersky, Droplet shapes for a class of models in Z2 at zero temperature, Journal of Statistical Physics, vol.111, issue.1/2, pp.129-169, 2003.
DOI : 10.1023/A:1022252923753

X. Descombes and F. Preteux, Potentiels canoniques et modèles markoviens, GRETSI'91, pp.821-824, 1991.

X. Descombes and F. Preteux, Topology and parameter estimation in MRF modeling, SPIE, Neural and Stochastic Methods in Image and Signal Processing II, 1993.

X. Descombes and F. Preteux, Les phi-modèles : caractérisation de processus markoviens gaussiens perturbés, AFCET-RFIA'94, pp.75-86, 1994.

X. Descombes, F. Preteux, and E. M. Sigelle, Modèles markoviens en analyse d'images : définition des potentiels canoniques, des cliques et estimation des paramètres, 1991.

X. Descombes and J. M. Salvador, Extraction et classification des réseaux de craquelures dans les oeuvres picturales. ENST-Dpt Image, 1989.

X. Descombes, M. Sigelle, and E. F. Preteux, Application de la renormalisationàrenormalisation`renormalisationà l'analyse de textures markoviennes gaussiennes, GRETSI'93, pp.21-25, 1993.

X. Descombes, M. Sigelle, and E. F. Preteux, Estimating Gaussian Markov random field parameters in a nonstationary framework: application to remote sensing imaging, IEEE Transactions on Image Processing, vol.8, issue.4, pp.490-503, 1999.
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X. Descombes, R. Stoica, L. Garcin, and E. J. Zerubia, A RJMCMC Algorithm for Object Processes in Image Processing, Monte Carlo Methods and Applications, vol.7, issue.1-2, pp.149-156, 2001.
DOI : 10.1515/mcma.2001.7.1-2.149

X. Descombes, R. Stoica, and E. J. Zerubia, Two Markov point processes for simulating line networks, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999.
DOI : 10.1109/ICIP.1999.822850

X. Descombes, M. N. Van-lieshout, R. Stoica, and E. J. Zerubia, Parameter estimation by a Markov chain Monte Carlo technique for the Candy model, Proceedings of the 11th IEEE Signal Processing Workshop on Statistical Signal Processing (Cat. No.01TH8563), pp.22-25, 2001.
DOI : 10.1109/SSP.2001.955212

X. Descombes and J. Zerubia, Marked point process in image analysis, IEEE Signal Processing Magazine, vol.19, issue.5, pp.77-84, 2002.
DOI : 10.1109/MSP.2002.1028354

X. Descombes and J. Zerubia, Marked point processes in image analysis, ERCIM News, issue.50, pp.24-25, 2002.
DOI : 10.1109/msp.2002.1028354

S. Drot, X. Descombes, H. Le-men, and E. J. Zerubia, Object point processes for image segmentation, Object recognition supported by user interaction for service robots, 2002.
DOI : 10.1109/ICPR.2002.1048453

S. Drot, X. Descombes, H. Le-men, and E. J. Zerubia, Remotely sensed image segmentation using an object point process, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2003.
DOI : 10.1109/IGARSS.2003.1294331

L. Garcin, X. Descombes, J. Zerubia, and H. Le-men, Buiding extraction using a Markov point process, ICIP'01, 2001.

C. Hivernat, X. Descombes, S. Randriamasy, and E. J. Zerubia, Mise en correspondance et recalage de graphes : application aux réseaux routiers extraits d'un couple carte/image, Traitement du Signal, vol.17, issue.1, pp.21-32, 2000.

C. Hivernat, S. Randriamasy, X. Descombes, and E. J. Zerubia, Qualification automatique des résultats d'une mise en correspondance de réseaux routiers en vue de la misè a jour cartographique, ISPRS Working Group II/6 Workshop on: " 3D Geospatial Data Production: Meeting Application Requirements, pp.91-93, 1999.

F. Kruggel, C. Chalopin, X. Descombes, and E. V. Kovalev, Segmentation of pathological features in MRI brain datasets, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02., pp.2673-2677, 2002.
DOI : 10.1109/ICONIP.2002.1201981

F. Kruggel, X. Descombes, and Y. Von-cramon, Die vorerarbeitung von fMRI-daten, Bildverarbeitung fr die Medizin, 1998.

F. Kruggel, X. Descombes, and Y. Von-cramon, Preprocessing of fMR datasets, Proceedings. Workshop on Biomedical Image Analysis (Cat. No.98EX162), pp.211-220, 1998.
DOI : 10.1109/BIA.1998.692518

F. Kruggel, Y. Von-cramon, and E. X. Descombes, Comparison of Filtering Methods for fMRI Datasets, NeuroImage, vol.10, issue.5, pp.530-543, 1999.
DOI : 10.1006/nimg.1999.0490

C. Lacoste, X. Descombes, and E. J. Zerubia, Road network extraction in remote sensing by markov object processes, ICIP'03, 2003.

C. Lacoste, X. Descombes, J. Zerubia, and E. N. Baghdadi, Extraction automatique des réseaux linéiqueslinéiques`linéiquesà partir d'images satellitaires et aériennes par processus Markov objet, Bulletin de la SFPT, vol.170, issue.2, pp.13-22, 2003.

C. Lacoste, X. Descombes, J. Zerubia, and E. N. Baghdadi, Extraction de réseaux linéiqueslinéiques`linéiquesà partir d'images satellitaires par processus Markov objet, GRETSI'03, 2003.

F. M. Letourneau, A. Lorette, J. P. Rudant, and E. X. Descombes, Utilisation d'une séquence d'images ERS et d'une méthode d'extraction automatique des zones urbaines pour le suivi de l'extension de la ville de Macapa, pp.2-11, 1999.

A. Lorette, X. Descombes, and E. J. Zerubia, Texture analysis through Markov random fields: urban areas extraction, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348), 1999.
DOI : 10.1109/ICIP.1999.819629

A. Lorette, X. Descombes, and E. J. Zerubia, Fully unsupervised fuzzy clustering with entropy criterion, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000, pp.998-1001, 2000.
DOI : 10.1109/ICPR.2000.903710

A. Lorette, X. Descombes, and E. J. Zerubia, Modélisation markovienne multi-directionnelle: Applicationàtion`tionà l'extraction des zones urbaines, RFIA'00, volume III, pp.17-26, 2000.

A. Lorette, X. Descombes, and E. J. Zerubia, Texture analysis through a markovian modelling and fuzzy classification: Application to urban area extraction from satellite images, Int. Journal on Computer Vision, vol.36, issue.3, pp.219-234, 2000.

R. Morris, X. Descombes, and E. J. Zerubia, Fully Bayesian image segmentation-an engineering perspective, Proceedings of International Conference on Image Processing, 1997.
DOI : 10.1109/ICIP.1997.631978

URL : https://hal.archives-ouvertes.fr/inria-00073677

R. D. Morris, X. Descombes, and E. J. Zerubia, The Ising/Potts model is not well suited to segmentation tasks, 1996 IEEE Digital Signal Processing Workshop Proceedings, 1996.
DOI : 10.1109/DSPWS.1996.555511

M. Ortner, X. Descombes, and E. J. Zerubia, Building extraction from digital elevation models, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., 2003.
DOI : 10.1109/ICASSP.2003.1199477

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.8506

M. Ortner, X. Descombes, and E. J. Zerubia, Un nouveau modèle pour l'extraction de caricatures de bâtiments sur des modèles numériques d'´ elévation, TAIMA'03, 2003.

G. Palubinskas, X. Descombes, and E. F. Kruggel, An unsupervised clustering method using the entropy minimization, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170), 1998.
DOI : 10.1109/ICPR.1998.712082

O. Pony, U. Polverini, L. Gautret, J. Zerubia, and E. X. Descombes, Classification d'image satellitaire superspectrale en zone rurale et périurbaine, GRETSI'01, 2001.

F. Preteux and X. Descombes, Synthèse et analyse de textures par coopération de processus multi´ echelles, AFCET-RFIA'91, pp.1015-1026, 1991.

G. Rellier, X. Descombes, F. Falzon, and E. J. Zerubia, Classification de textures hyperspectrales fondée sur un modèle markovien et une technique de poursuite de projection, Traitement du Signal, vol.20, issue.1, pp.25-42, 2003.

G. Rellier, X. Descombes, and E. J. Zerubia, Deformation of a cartographic road network on a SPOT satellite image, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101), pp.736-739, 2000.
DOI : 10.1109/ICIP.2000.899814

G. Rellier, X. Descombes, and E. J. Zerubia, Local registration and deformation of a road cartographic database on a SPOT satellite image, Pattern Recognition, vol.35, issue.10, pp.2213-2221, 2002.
DOI : 10.1016/S0031-3203(01)00180-7

URL : https://hal.archives-ouvertes.fr/inria-00072711

G. Rellier, X. Descombes, J. Zerubia, and E. F. Falzon, La poursuite de projection pour la classification d'images hyperspectrales texturées, ORASIS'01, pp.435-444, 2001.

G. Rellier, X. Descombes, J. Zerubia, and E. F. Falzon, Un modèle markovien gaussien pour l'analyse de texture hyperspectrale en milieu urbain, GRETSI'01, 2001.

G. Rellier, X. Descombes, J. Zerubia, and E. F. Falzon, A Gauss-Markov model for hyperspectral texture analysis of urban areas, Object recognition supported by user interaction for service robots, 2002.
DOI : 10.1109/ICPR.2002.1044850

R. Stoica, X. Descombes, and E. J. Zerubia, Road extraction in remote sensed images using stochastic geometry framework, AIP Conference Proceedings, 2000.
DOI : 10.1063/1.1381915

R. Stoica, X. Descombes, and E. J. Zerubia, A Gibbs Point Process for Road Extraction from Remotely Sensed Images, International Journal of Computer Vision, vol.57, issue.2
DOI : 10.1023/B:VISI.0000013086.45688.5d

R. S. Stoica, M. N. Van-lieshout, X. Descombes, and E. J. Zerubia, Spatial Statistics through Applications , chapter An application of marked point processes to the extraction of linear networks from images, 2002.

F. Tupin, E. Trouvé, X. Descombes, J. M. Nicolas, and H. Ma??trema??tre, Improving IFSAR phase unwrapping by early detection of non interferometric features

D. Vandermeulen, X. Descombes, P. Suetens, and E. G. Marchal, Unsupervised regularized classification of multi-spectral MRI, VBC'96, 1996.
DOI : 10.1007/BFb0046958

O. Viveros, X. Descombes, and E. J. Zerubia, Apport de l'imagerie radar pour l'extraction des zones urbaines, ORASIS'01, pp.405-414, 2001.