Retour à l'index des publications
Export 99 results:
Warning on RTF export
×
If you export in RTF and open your file with microsoft Word, you need to choose "Occidental (Windows Latin 1)" encoding.

Journal Article

  1. [TOME-10]S. Tomei, Reilhac, A., Visvikis, D., Boussion, N., Odet, C., Giammarile, F., and Lartizien, C., “OncoPET_DB: a freely distributed database of realistic simulated whole body [18F]FDG PET images for oncology”, IEEE Transactions on Nuclear Science, vol. 57, pp. 246-255, 2010.
  2. [BOLB-08]R. Bolbos, Benoit-Cattin, H., Langlois, J. B., Chomel, A., Chereul, E., Odet, C., Janier, M., Pastoureau, P., and Beuf, O., “Measurement of knee cartilage thickness using MRI: A reproducibility study in a meniscectomized guinea pig model of osteoarthritis”, Nuclear Magnetic Resonance in Biomedicine, vol. 21, pp. 366-375, 2008.
  3. [VELU-07]J. Velut, Benoit-Cattin, H., and Odet, C., “Locally regularized Smoothing B-Snake”, Eurasip J Adv Signal Proces, vol. 2007, p. Article ID 76241, 12 pages, 2007.
  4. [BOLB-07]R. Bolbos, Benoit-Cattin, H., Langlois, J. B., Chomel, A., Chereul, E., Odet, C., Pastoureau, P., Janier, M., and Beuf, O., “Knee cartilage thickness measurements using MRI: a 4 1/2-month longitudinal study in the meniscectomized guinea pig model of OA”, Osteoarthritis Cartilage, vol. 15, pp. 656-665, 2007.
  5. [APOS-06]L. Apostol, Boudousq, V., Basset, O., Odet, C., Yot, S., Tabary, J., Dinten, J. M., Boller, E., Kotzki, P. O., and Peyrin, F., “Relevance of 2D radiographic texture analysis for the assessment of 3D bone micro-architecture”, Med Phys, vol. 33, pp. 3546-3556, 2006.
  6. [BENO-05]H. Benoit-Cattin, Collewet, G., Belaroussi, B., Saint-Jalmes, H., and Odet, C., “The SIMRI project : a versatile and interactive MRI simulator”, J Magn Reson Imaging, vol. 173, pp. 97-115, 2005.
  7. [SAPP-04]D. Sappey-Marinier, Beuf, O., Billotey, C., Chereul, E., Dupuy, J., Jeandey, M., Grenier, D., Hasserodt, J., Langlois, J. B., Lartizien, C., Mai, W., Odet, C., Samarut, J., Vray, D., Zimmer, L., and Janier, M., “The ANIMAGE project: a multimodal imaging platform for small animal research”, Nucl Instr Meth Phys Res A, vol. 527, pp. 117-123, 2004.
  8. [ZOUA-04a]T. Zouagui, Benoit-Cattin, H., and Odet, C., “Image segmentation functional model”, Pattern Recogn, vol. 37, pp. 1785-1795, 2004.
  9. [BALA-04]S. Balac, Benoit-Cattin, H., Lamotte, T., and Odet, C., “Analytic solution to boundary integral computation of susceptibility induced magnetic field inhomogeneities”, Math Comput Model, vol. 39, pp. 437-455, 2004.
  10. [REVO-02a]C. Revol-Muller, Peyrin, F., Carillon, Y., and Odet, C., “Automated 3D region growing algorithm based on an assessment function”, Pattern Recogn Lett, vol. 23, pp. 137–150, 2002.
  11. [REVO-02b]C. Revol-Muller, Benoit-Cattin, H., Carillon, Y., Odet, C., Briguet, A., and Peyrin, F., “Bone MRI segmentation assessment based on synchrotron radiation computed microtomography”, IEEE Trans Nucl Sci, vol. 49, pp. 220–224, 2002.
  12. [CLAR-00a]P. Clarysse, Basset, C., Khouas, L., Croisille, P., Friboulet, D., Odet, C., and Magnin, I. E., “2D spatial and temporal displacement field fitting from cardiac MR tagging”, Med Image Anal, pp. 253-268, 2000.
  13. [SALO-99]M. Salome-Pateyron, Peyrin, F., Odet, C., Laval-Jeantet, A. M., Cloetens, P., Baruchel, B., and Spanne, P., “A synchrotron radiation microtomography system for the analysis of trabecular bone samples”, Med Phys, vol. 26, pp. 2194–2204, 1999.
  14. [BASS-99a]O. Basset, Dupont, F., Hernandez, A., Odet, C., Abouelkaram, S., and Culioli, J., “Texture image analysis : Application to the classification of bovine muscles from meat slice images”, Optical Engineering, vol. 38, pp. 1950–1959, 1999.
  15. [BASK-98b]A. Baskurt, Benoit-Cattin, H., and Odet, C., “On the influence of the phase of FIR filters in subband image coding”, IEEE Trans Image Proces, vol. 7, pp. 883–888, 1998.
  16. [KHOU-98a]L. Khouas, Clarysse, P., Friboulet, D., and Odet, C., “Fast 2D vector field visualization using a 2D texture synthesis based on an autoregressive filter. Application to cardiac imaging”, Mach Graph Vision, vol. 7, pp. 751-764, 1998.
  17. [DUPO-98]F. Dupont, Zhu, Y. M., Grimaud, J., Odet, C., Confavreux, C., and Froment, J. C., “Utilisation de la distribution de Wigner-Ville 2D pour la segmentation des lésions de Sclérose En Plaques en IRM”, Innov Tech Biol Med, vol. 19, pp. 229-236, 1998.
  18. [BORR-98a]G. Borras, Vuorinen, K., Odet, C., Gaffiot, F., and Jacquemod, G., “Modelling solid-state linear X-ray sensors using a mixed-signal hardware description”, Sens Actuators A, pp. 63-69, 1998.
  19. [DUPO-97a]F. Dupont, Odet, C., and Carton, M., “Optimization of the recognition of defects in flat steel products with the cost matrices theory”, Non-Destruct Test Eval, vol. 30, pp. 3–10, 1997.
  20. [BASK-94]A. Baskurt, Odet, C., and Goutte, R., “Image coding on phobos space probe”, Eurasip Image Communication, vol. 6, pp. 479-484, 1994.
  21. [JACQ-92]G. Jacquemod, Odet, C., and Goutte, R., “Image resolution enhancement using subpixel camera displacement”, Signal Proces, vol. 26, pp. 139-146, 1992.
  22. [EKOU-91]A. Ekoule, Peyrin, F., and Odet, C., “A triangulation algorithm for arbitrary shaped multiple planar contours”, ACM T Graphic, vol. 10, pp. 182-199, 1991.

Conference Paper

  1. [REVO-12a]C. Revol-Muller, Grenier, T., Rose, J. L., Pacureanu, A., Peyrin, F., and Odet, C., “Region Growing: Adolescence and adulthood ;Two visions of region growing: in feature space and variational framework”, in VISAPP 2012. International Conference on Computer Vision Theory and Applications, Rome, Italy, 2012, pp. 286-297.
  2. [PRIET-12d]J. C. Prieto, Mihaila, S., Hilaire, A., Fanton, L., Odet, C., and Revol-Muller, C., “Age estimation from 3D X-ray CT images of human fourth ribs”, in Worldcomp'12: 16th International Conference on Image Processing, Computer Vision, & Pattern Recognition IPCV'12, Las Vegas, Nevada, USA, 2012.
  3. [PRIET-12b]J. C. Prieto, Revol-Muller, C., Camelitti, P., and Odet, C., “Modeling 3D realistic organic tissues from 2D digital microscope images”, in ESMI "Hot Topics in molecular imaging” Topim'12, 2012, p. in press.
  4. [PRIE-12c]J. C. Prieto, Revol-Muller, C., Odet, C., Orkisz, M., and Hernández Hoyos, M., “CreaLungs: a variational region growing method to segment pulmonary vascular trees”, in ISBI VESSEL12 Challenge, Barcelona, Spain, 2012.
    /site7/sites/www.creatis.insa-lyon.fr/files/AlgorithmDescription.pdf
  5. [PRIE-12a]J. C. Prieto, Revol-Muller, C., Peyrin, F., Camelitti, P., and Odet, C., “3D Texture synthesis for modeling realistic organic tissues”, in VISAPP 2012. International Conference on Computer Vision Theory and Applications, Rome, Italy, 2012, pp. 60-65.
  6. [PRIE-12e]J. C. Prieto, Pérez Romanello, C., Pérez Romanello, V., Revol-Muller, C., Odet, C., Orkisz, M., and Hernández Hoyos, M., “Segmentación del árbol vascular pulmonar”, in XXXVIII Conferencia Latinoamericana en Informática (CLEI), Medellín, Colombia, 2012, pp. 1-7.
  7. [REVO-12c]C. Revol-Muller, Rose, J. L., Pacureanu, A., Peyrin, F., and Odet, C., “Shape Prior in Variational Region Growing”, in International Conference on Image Processing Theory, Tools and Applications, IPTA'12, 2012, p. in press.
  8. [ROSE-10a]J. L. Rose, Grenier, T., Revol-Muller, C., and Odet, C., “Unifying variational approach and region growing segmentation”, in 18th European Signal Processing Confernce (EUSIPCO-2010), Aalborg, Denmark, 2010, pp. 1781-1785.PDF icon [ROSE-10] unifying Variational Approach and Region growing Segmentation - Eusipco 2010.pdf (3.99 MB)
  9. [CHAR-10]D. Charpigny, Grenier, T., Odet, C., and Benoit-Cattin, H., “Restoration-based iron oxide particles quantification in MR images”, in IEEE ICASSP, Dallas, Texas, USA, 2010.PDF icon Charpigny_ICASSP10.pdf (840.92 KB)
  10. [ROSE-09a]J. L. Rose, Revol-Muller, C., Reichert, C., and Odet, C., “Variational region growing”, in VISAPP-09 International Conference on Computer Vision Theory and Applications, Lisboa, Portugal, 2009, p. in-press.
  11. [ROSE-09b]J. L. Rose, Revol-Muller, C., Charpigny, D., and Odet, C., “Shape prior criterion based on Tchebichef moments in variational region growing”, in IEEE International Conference on Image Processing ICIP'09, Cairo, Egypt, 2009, p. in-press.
  12. [CHAR-09]D. Charpigny, Grenier, T., Odet, C., and Benoit-Cattin, H., “Towards Iron Oxide Nanoparticles quantization in Molecular MR images by Default Field Deconvolution”, in Proc. ISBI 2009: 6th IEEE international symposium on biomedical imaging, 2009.
  13. [TOME-08b]S. Tomei, Reilhac, A., Visvikis, D., Odet, C., Giammarile, F., Mognetti, T., and Lartizien, C., “Development of a database of realistic simulated whole body [18F]FDG PET images for lymphoma”, in Proc of the 2008 IEEE NSS and MIC Conference, Dresden, Germany, 2008, pp. 4958-4963.
  14. [DU-08]X. Du, Velut, J., Bolbos, R., Beuf, O., Odet, C., and Benoit-Cattin, H., “3-D knee Cartilage Segmentation Using a Smoothing B-Spline Active surface”, in IEEE International Conference on Image Processing, San Diego, California, USA, 2008, p. 1986.
  15. [COEL-08]C. S. Coello, Dinten, J. M., Arques, M., Rohr, P., and Odet, C., “Reduced inter-exposure time in dual-energy imaging: a technological and image processing cooperative approach”, in Medical Imaging 2008 : Physics of medical imaging, 2008.
  16. [CHAR-08a]D. Charpigny, Duboeuf, F., Odet, C., and Benoit-Cattin, H., “Echo Time (TE) Influence on the statistical parameters of Molecular MRI Images”, in 12ème Congrès du GRAMM, Lyon, France, 2008, p. 210.
  17. [CHAR-08b]D. Charpigny, Grenier, T., Odet, C., Pauly, J., and Benoit-Cattin, H., “Deconvolution Approach for Susceptibility Map Building”, in European Society for Magnetic Resonance in Medicine and Biology, 25st Annual Scientific Meeting ESMRMB, Valencia, Spain, 2008, p. in-press.
  18. [ROSE-08b]J. L. Rose, Revol-Muller, C., Langlois, J. B., Janier, M., and Odet, C., “3D region growing integrating adaptive shape prior”, in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, Paris, France, 2008, pp. 967-970.
  19. [TOME-08a]S. Tomei, Marache, S., Odet, C., and Lartizien, C., “Automatic detection of active nodules in 3D PET oncology imaging using the Hotelling Observer and the Support Vector Machines: a comparison study”, in Proc of the 2008 IEEE NSS and MIC Conference, Dresden, Germany, 2008, pp. 5314-5319.
  20. [VELU-08]J. Velut, Benoit-Cattin, H., and Odet, C., “IIR filtering of surface meshes for the regularization of deformable models”, in IEEE ICIP'08, San Diego, USA, 2008.
  21. [ROSE-07]J. L. Rose, Revol-Muller, C., Almajdub, M., Chereul, E., and Odet, C., “Shape Prior Integrated in an Automated 3D Region Growing method”, in IEEE International Conference on Image Processing ICIP'07, San Antonio, USA, 2007, pp. 53–56.
  22. [LART-07]C. Lartizien, Tomei, S., Maxim, V., and Odet, C., “Combining a wavelet transform with a channelized Hotelling observer for tumor detection in 3D PET oncology imaging”, in SPIE Medical Imaging Conference, San Diego, USA, 2007, pp. 1-10.
  23. [TOME-07b]S. Tomei, Odet, C., and Lartizien, C., “Détection d'hyper signaux en Tomographie par Emission de Positons 3D : Approche statistique basée sur la combinaison d'une transformée en ondelettes discrète avec un test de Hotelling”, in Colloque GRETSI, Troyes, France, 2007, pp. 869-872.
  24. [VELU-06b]J. Velut, Benoit-Cattin, H., and Odet, C., “Locally regularized snakes through smoothing B-Spline filtering”, in EUSIPCO'06, Firenze, Italy, 2006, p. (in-press).
  25. [VELU-06a]J. Velut, Benoit-Cattin, H., and Odet, C., “Segmentation by Smoothing B-Spline active surface”, in IEEE International Conference on Image Processing ICIP'06, Atlanta, USA, 2006, pp. 209-212.
  26. [BOLB-06f]R. Bolbos, Beuf, O., Benoit-Cattin, H., Langlois, J. B., Odet, C., Pastoureau, P., and Janier, M., “Knee cartilage thickness measurements using MRI in a guinea pig osteo-arthritis model”, in 1st Singaporean-French Biomedical Imaging Workshop, Biopolis, Singapore, 2006.
  27. [BELA-06b]B. Belaroussi, Benoit-Cattin, H., and Odet, C., “Susceptibility artifact correction in GE images”, in ISMRM'06, Seattle, USA, 2006, p. 2373.
  28. [BELA-06a]B. Belaroussi, Benoit-Cattin, H., and Odet, C., “CASTI: Correction of susceptibility artifact in MR images using MRI simulation”, in IEEE International Conference on Image Processing ICIP'06, Atlanta, USA, 2006, pp. 897-900.
  29. [REGR-05]B. Regrain, Boix, E., Odet, C., and Benoit-Cattin, H., “DaVaW: A python library for medical imaging application”, in IEEE International Conference on Image Processing, Some City, Some Country, 2005, pp. 1004-1007.
  30. [PASO-05]M. Pasovic, Basset, O., Odet, C., Dinten, J. M., Boudousq, V., Kotzki, P. O., and Peyrin, F., “Evaluation of radiographic texture analysis for the characterization of 3D bone micro-architecture: influence of spatial resolution”, in EMBEC (European Medical and Biological Engineering Conference), Prague, Czech Republic, 2005, p. (in-press).
  31. [BOLB-05a]R. Bolbos, Benoit-Cattin, H., Langlois, J. B., Chomel, A., Chereul, E., Odet, C., Pastoureau, P., Janier, M., and Beuf, O., “Méthode de caractérisation du cartilage in vivo par IRM sur un modèle de cobaye arthrosique: suivi longitudinal”, in 11ème Congrès du GRAMM, Nancy, France, 2005.
  32. [GOUA-05c]A. Gouaillard, Odet, C., and Gu, X. D., “Computing Shortest Cycles on Discrete Surfaces for Acurate Topological Modifications of Medical Image Isosurfaces”, in Conf Proc IEEE Eng Med Biol Soc, Shanghai, P.R. China, 2005, pp. (3214–3217).
  33. [BELA-04a]B. Belaroussi, Zaim-Wadghiri, Y., Benoit-Cattin, H., Odet, C., and Turnbull, D. H., “Distortion correction for susceptibility-induced artifacts in spin echo MR images : simulation study at 1.5 T and 7 T”, in ISMRM'O4, Tokyo, Japan, 2004, p. 2168.
  34. [BELA-04b]B. Belaroussi, Benoit-Cattin, H., Loiseaux, F., and Odet, C., “Comparison of spin echo distortion correction methods based on field map”, in ESMRM'04, Copenhagen, Denmark, 2004, p. 541.
  35. [GOUA-04c]A. Gouaillard, Kawata, H., Kanai, T., Odet, C., and Gu, X., “Localization of Topological Artifacts on 3D Meshes”, in The 11th International Conference on Geometry and Graphics, Guangzhou, P.R. China, 2004.
  36. [APOS-04c]L. Apostol, Basset, O., Yot, S., Odet, C., Tabary, J., Dinten, J. M., Boller, E., Boudousq, V., Kotzki, P. O., and Peyrin, F., “What are the most relevant 2D radiographic texture parameters to assess 3D bone micro-architecture ?”, in 16th International Bone Densitometry Workshop, Annecy, France, 2004.
  37. [APOS-04b]L. Apostol, Peyrin, F., Yot, S., Odet, C., Basset, O., Tabary, J., Dinten, J. M., Boller, E., Boudousq, V., and Kotzki, P. O., “A procedure for the evaluation of 2D radiographic texture analysis to assess 3D bone micro-architecture”, in SPIE Medical Imaging, San Diego, USA, 2004.
  38. [BOLB-04]R. Bolbos, Beuf, O., Benoit-Cattin, H., Odet, C., Pastoureau, P., and Janier, M., “Cartilage characterization method in a guinea pig osteoarthritis model: Reproducibility of morphological measures using MRI”, in European Society for Magnetic Resonance in Medicine and Biology, 21st Annual Scientific Meeting, Copenhagen, Denmark, 2004, p. 38.
  39. [CHER-03]E. Chereul, Gouaillard, A., Prost, R., and Odet, C., “Segmentation d'image par déformation multirésolution sur bases d'ondelettes combinant données et modèle”, in GRETSI '03, Paris, France, 2003, vol. III, pp. 14-17.
  40. [BELA-03]B. Belaroussi, Odet, C., and Benoit-Cattin, H., “Application of Scalable Discrepancy Measures for Computer Vision Image Segmentation Tasks”, in Quality Control by Artificial Vision (QCAV'03), Gatlinburg, Tennessee, USA, 2003, pp. 56-62.
  41. [GOUM-03]A. B. Goumeidane, Khamadja, M., Belaroussi, B., Benoit-Cattin, H., and Odet, C., “New Discrepancy Measures for Segmentation Evaluation”, in IEEE International Conference on Image Processing ICIP'03, Barcelona, Spain, 2003, pp. 411-414.
  42. [GOUA-03]A. Gouaillard, Chereul, E., Prost, R., and Odet, C., “Volume Segmentation via wavelet analysis on data and model”, in JSF'03, Tokyo, Japan, 2003, pp. 84-85.
  43. [BENO-03]H. Benoit-Cattin, Bellet, F., Montagnat, J., and Odet, C., “Magnetic Resonance Imaging (MRI) Simulation on a Grid Computing Architecture”, in Biogrid'03, proceedings of the IEEE CCGrid03, Tokyo, Japan, 2003, pp. 582-587.
  44. [BELA-02]B. Belaroussi, Odet, C., and Benoit-Cattin, H., “Scalable discrepancy measures for segmentation evaluation”, in IEEE International Conference on Image Processing ICIP'02, Rochester, New-York, USA, 2002, vol. 1, pp. 785-788.
  45. [BENO-01b]H. Benoit-Cattin, Zouagui, T., and Odet, C., “Vers une vision fonctionnelle de la segmentation d'images”, in Congrès Francophone de Vision par Ordinateur ORASIS'01, Cahors, France, 2001, vol. 2, pp. 425-433.
  46. [BENO-01a]H. Benoit-Cattin, Zouagui, T., and Odet, C., “Functionnal model and Object Oriented programming for image segmentation methods”, in International Conference on Quality Control by Artificial Vision (QCAV'01), Le Creusot, France, 2001, vol. 2, pp. 391-394.
  47. [REVO-00b]C. Revol-Muller, Benoit-Cattin, H., Carillon, Y., Odet, C., Briguet, A., and Peyrin, F., “Bone MRI segmentation assessment based on synchrotron radiation computed microtomography”, in Nuclear Science Symposium and Medical Imaging Conference, Lyon, France, 2000, pp. 19.7-19.11.
  48. [REVO-00a]C. Revol-Muller, Peyrin, F., Odet, C., and Carillon, Y., “Automated 3D region growing algorithm governed by an evaluation function”, in IEEE International Conference on Image Processing ICIP'00, Vancouver, Canada, 2000.
  49. [KHOU-99]L. Khouas, Odet, C., and Friboulet, D., “2D Vector field visualization using furlike texture”, in VisSym'9, Vienna, Austria, 1999, pp. 35–44.
  50. [KHOU-98d]L. Khouas, Odet, C., and Friboulet, D., “3D Furlike texture generation by a 2D autoregressive synthesis”, in Proceedings International Conference in Central Europe on Computer (WSCG'98) Graphics and Visualization, Plzen, Czech Republic, 1998, pp. 171–177.
  51. [KHOU-98b]L. Khouas, Odet, C., and Friboulet, D., “A 2D texture model based on an autoregressive approach for 3D furlike texture synthesis”, in Proceedings 10th Workshop on Image and Multidimensional Digital Signal Processing (IMDSP'98), Alpbach, Austria, 1998, pp. 175–178.
  52. [BORR-98b]G. Borras, Odet, C., Vuorinen, K., and Jacquemod, G., “Improving resolution of solid-state linear array X-Ray detectors”, in Annual Symposium on Electronic Imaging'98, Some City, Some Country, 1998.
  53. [BORR-97a]G. Borras, Odet, C., Peyrin, F., and Cendre, E., “Resolution enhancement in Computed Assisted Tomography”, in Quality Control and Artificial Vision, Le Creusot, France, 1997, pp. 218–222.
  54. [DUPO-97c]F. Dupont, Odet, C., and Zhu, Y. M., “Control of flat steel products by texture segmentation in the Wigner-Ville domain”, in Quality control by Artificial Vision (QCAV'97), Clermont-Ferrand, France, 1997, pp. 225–230.
  55. [DUPO-97b]F. Dupont and Odet, C., “Optimisation de la reconnaissance de défauts en CND par la méthode de matrices de coûts”, in COFREND, Nantes, France, 1997, pp. 757–761.
  56. [BORR-97b]G. Borras, Odet, C., Kaftandjian, V., and Peix, G., “Amélioration de la résolution des détecteurs linéaires à l'état solide”, in Conférence COFREND'97, Nantes, France, 1997, pp. 331–335.
  57. [LENN-96]M. Lennon, Dupont, F., Odet, C., Gimenez, G., and Pasquier, M., “Caractérisation des enrobés drainants à l'aide du scanner X 3D morphomètre”, in AGI'96, Tours, France, 1996, pp. 341-344.
  58. [ROSS-96]S. Rossato, Dromigny-Badin, A., Zhu, Y. M., Kaftandjian, V., Odet, C., Guy, P., Jayet, Y., Peix, G., and Gimenez, G., “Amélioration de la fiabilité du contrôle non destructif par fusion de données radioscopiques et ultrasonores”, in Journées Thématiques du GdR ISIS en Fusion d'Informations, Paris, France, 1996, pp. 54–58.
  59. [DUPO-96]F. Dupont, Zhu, Y. M., Odet, C., and Goutte, R., “Texture classification in the Wigner-Ville domain”, in 3th International Conference on Signal Processing ICSP'96, Beijing, P.R. China, 1996, pp. 327–330.
  60. [BASK-95a]A. Baskurt, Benoit-Cattin, H., and Odet, C., “On a 3D medical image coding method using a separable 3D wavelet transform”, in SPIE Medical Imaging IX : Image display, San Diego, USA, 1995, vol. 2431, pp. 173–183.
  61. [MOUH-94]S. Mouhamed, Peyrin, F., Odet, C., and Goutte, R., “Development and evaluation of a clinical workstation for pulmonary disease diagnostic”, in SPIE Medical Imaging, San Diego, USA, 1994.
  62. [DUPO-93b]F. Dupont, Odet, C., Carton, M., and Alexandre, P., “Reconnaissance de défauts sur tôles décapées”, in Colloque Contrôle Qualité par Vision Industrielle, Le Creusot, France, 1993, pp. 84–93.
  63. [DUPO-93a]F. Dupont, Odet, C., Carton, M., and Alexandre, P., “Automatic recognition and analysis of surface defects on pickled steel sheet”, in SPIE : Applications of Artificial Intelligence : Machine Vision and Robotics, Orlando, USA, 1993, vol. 1964, pp. 78–89.
  64. [MOUH-92]S. Mouhamed, Peyrin, F., Odet, C., and Goutte, R., “Study of a clinical workstation for pulmonary diseases”, in IEEE EMBS, Paris, France, 1992, vol. 3, pp. 1282–1283.
  65. [ALRI-91]S. Alric, Odet, C., Neyran, B., and Dautraix-Ricard, I., “Système interactif de mesure et de visualisation stéréoscopique”, in 1er Festival International de l'image en relief, Paris, France, 1991, pp. 1–7.
  66. [NEYR-91]B. Neyran, Charry, M. C., Barbier, B., and Odet, C., “Segmentation automatique d'angiographies cardiaques”, in 13ème colloque GRETSI sur le traitement du signal et des images, Antibes, France, 1991, pp. 153–156.
  67. [BASK-91d]A. Baskurt, Odet, C., and Goutte, R., “Détection de mouvements en utilisant des critères invariants par rotation”, in 13ème colloque sur le traitement du signal et des images, GRETSI-91, Juan-les-Pins, France, 1991, pp. 157–160.

Book Chapter

  1. [REVO-13]C. Revol-Muller, Grenier, T., Rose, J. L., Pacureanu, A., Peyrin, F., and Odet, C., “Region Growing: When Simplicity Meets Theory. Region growing revisited in feature space and variational framework”, in Lecture Notes Series of Communications in Computer and Information Science (CCIS), Springer-Verlag, vol. 359, 2013, pp. 426-444.
  2. [ODET-01]C. Odet, “Chap. 5 : Image ou images”, in Traité IC2 Les systèmes de vision, J. M. Jolion Paris, France: Hermès, Publ., 2001, pp. 133–157.

Invited Conference

  1. [ODET-98b]C. Odet, Blanchard, D., and Dupont, F., “Main components of on-line inspection systems”, ECSC Workshop on-line optical surface inspection of steel strip achievements and outlook, February 5-6. Brussels, Belgium, pp. 17–31, 1998.

HDR

  1. [ODET-98a]C. Odet, “Optimisation des méthodes de contrôle non destructif des matériaux par vision artificielle: application au contrôle des produits sidérurgiques en défilement”. INSA Lyon, 1998.
    Husson R. (rap.), Postaire J.G (rap.), Truchetet F. (rap.), Bonton P., Goutte R., Lamure M., Lattuati V. et Tourscher G.

Miscellaneous

  1. [PRIE-11]J. C. Prieto, Revol-Muller, C., and Odet, C., “Modélisation multiparamétrique d'organes basée sur le codage de la structure interne”, Journée Sciences Croisées Insa-Lyon: Modélisation et Sciences numériques. 2011.
  2. [ODET-07]C. Odet, Rose, J. L., and Revol-Muller, C., “Synthèse générale des méthodes de segmentation intégrant de l'a priori géométrique ”, Réunion des GDR STIC-SANTE Thème B: "Signaux et Images en santé" et GDR ISIS Thème B : "Image et Vision", Journée thématique commune: "Segmentation de structures anatomiques avec intégration d’a priori géométrique". 2007.
  3. [BOLB-05b]R. Bolbos, Benoit-Cattin, H., Langlois, J. B., Chomel, A., Chereul, E., Odet, C., Pastoureau, P., Janier, M., and Beuf, O., “Méthode de caractérisation du cartilage par IRM sur un modèle de cobaye arthrosique”. 2005.
  4. [BOLB-05c]R. Bolbos, Benoit-Cattin, H., Langlois, J. B., Chomel, A., Chereul, E., Odet, C., Pastoureau, P., Janier, M., and Beuf, O., “Méthode de caractérisation du cartilage par IRM sur un modèle de cobaye arthrosique: étude longitudinale”. Lyon, France, 2005.
  5. [LENN-96b]M. Lennon, Dupont, F., Odet, C., Gimenez, G., and Pasquier, M., “Caractérisation des enrobés drainants à l'aide du scanner X 3D morphometre”. 1996.

Patent

  1. [GOUT-94a]R. Goutte, Jaquemod, G., and Odet, C., “Brevet européen N. de dépôt 89111156.9. Procédé et dispositif de traitement de signaux électriques provenant de l'analyse d'une ligne d'une image. Brevet européen, N. de publication 0348792B1 du 20.04.94, Luxembourg”, 1994.