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Conference Paper

  1. [YANK-06]J. Yankam Njiwa, Zhu, Y. M., Robini, M., Luo, J. H., and Magnin, I. E., “Image reconstruction from partial k-space using the notion of analytic image”, in Int. Conf. Signal Processing, Guilin, R.P. China, 2006, pp. 994-997.
  2. [LI-06]X. L. Li, Qin, H. X., Yang, J., and Zhu, Y. M., “Fractal volume rendering”, in IEEE ICASSP, Toulouse, France, 2006, pp. 489-492.
  3. [YANK-06a]J. Yankam Njiwa, Zhu, Y. M., Robini, M., and Magnin, I. E., “Magnetic resonance image reconstruction using the notion of analytic image”, in EUROMEDIM Conference(Euromedim 2006), Marseille, France, 2006, pp. 73-76.
  4. [XIE-06]K. Xie, Yang, J., and Zhu, Y. M., “Real-time and Precise Collision Detection based on Surgery Simulation”, in MIAR 2006, SHANGHAI, China, 2006, pp. 164-170.
  5. [YANK-06b]J. Yankam Njiwa, Zhu, Y. M., Liou, J., and Magnin, I. E., “Image reconstruction from partial k-space using the notion of analytic image”, in 8th International Conference on Signal Processing (ICSP), Guilin, R.P. China, 2006, pp. 994-997.
  6. [CHEN-05]L. S. Cheng, Yang, J., Fan, X., and Zhu, Y. M., “A Generalized Level Set Formulation of the Mumford-Shah Functional for Brain MR Image Segmentation”, in Information Processing in Medical Imaging (IPMI'05), Colorado, USA, 2005, pp. 418-430.
  7. [XIE-05d]K. Xie, Yang, J., and Zhu, Y. M., “Multi-resolution LOD Volume Rendering In Medicine”, in The International Conference on Computational Science, Some City, Some Country, 2005, pp. 925-932.
  8. [MILL-04c]J. Milles and Zhu, Y. M., “Model-Based Intensity Nonuniformity Correction in Brain MRI”, in IEEE CIE 7th International Conference on Signal Processing, Beijing, P.R. China, 2004.
  9. [MILL-04b]J. Milles, Zhu, Y. M., Chen, N., Panych, L., Gimenez, G., Charles, R. G., and Guttmann, C., “MRI intensity inhomogeneity correction using simultaneously spatial and gray-level histogram information”, in SPIE Medical Imaging, San Diego (California, USA), 2004, vol. 5370, pp. 734-742.
  10. [ZHU-03]Y. M. Zhu, Luo, J. H., Clarysse, P., and Magnin, I. E., “Correction des inhomogénéités d'intensité en IRM”, in Conférences F. Lhermitte - 13e Rendez-Vous de l'ARSEP, Paris, France, 2003, p. 35.
  11. [MILL-03]J. Milles, Zhu, Y. M., Chen, N., Panych, L., Gimenez, G., and Guttman, C. R. G., “Computation of transmitted and received B1 fields in magnetic resonance imaging”, in CARS 2003 Computer Assisted Radiology and Surgery-17th International Congress and Exhibition, London, UK, 2003, p. 1323.
  12. [ZHU-02b]Y. M. Zhu, Grimaud, J., Zhou, L. Q., Filippi, M., and Rovaris, M., “Comparative study of different brain MTR parameters for the study of multiple sclerosis”, in 6 Congress of the European Federation of Neurological Societies, Vienna, Austria, 2002, p. 131.
  13. [MILL-02a]J. Milles, Zhu, Y. M., Gimenez, G., and Guttman, C. R. G., “Correction des inhomogénéités d'intensité en IRM”, in Conférences F. Lhermitte - 12e Rendez-Vous de l'ARSEP, Paris, France, 2002, pp. 16-17.
  14. [GANN-02]M. Ganna, Rombaut, M., Goutte, R., and Zhu, Y. M., “Improvement of brain lesions detection using information fusion approach”, in IEEE CIE - International Conference on Signal Processing, Beijing, P.R. China, 2002, p. 4.
  15. [PACH-01]C. Pachai, Zhu, Y. M., Guttmann, C., Kikinis, R., Jolesz, F. A., Gimenez, G., Froment, J. C., Confavreux, C., and Warfield, S. K., “Unsupervised and adaptive segmentation of multispectral 3D magnetic resonance images of human brain : a generic approach”, in Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01), Utrecht, The Netherlands, 2001, pp. 1067-1074.
  16. [PACH-00c]C. Pachai, Warfield, S. K., Zhu, Y. M., Guttmann, C., Froment, J. C., and Confavreux, C., “Automatic quantification of brain atrophy in MS using millimetric T1-weighted MRI”, in ECTRIMS, Toulouse, France, 2000.
  17. [PACH-00b]C. Pachai, Zhu, Y. M., Guttmann, C., Grimaud, J., Hermier, M., Gimenez, G., Confavreux, C., and Froment, J. C., “L Unsupervised, adaptative, 3D Segmentation of brain tissues in multispectral MRI : application to quantification of multiple sclerosis lesions”, in 10th Meeting of the European Neurological Society, Jerusalem, Israel, 2000, p. 820.
  18. [LUO-00]J. H. Luo, Hao, S., and Zhu, Y. M., “Layer extraction technique applied to edge detection of MR images with truncation artifacts”, in IEEE Nuclear Science Symposium and Medical Imaging Conference, Lyon, France, 2000, pp. 15.259-15.262.
  19. [BENT-00b]L. Bentabet, Zhu, Y. M., Dupuis, O., Kaftandjian, V., Babot, D., and Rombaut, M., “Use of fuzzy clustering for determining mass functions in Dempster-Shafer theory”, in 16th IFIP World Computer Congress & Fifth International Conference on Signal Processing, Beijing, P.R. China, 2000, pp. 1462-1470.
  20. [ZHOU-00]L. Q. Zhou, Zhu, Y. M., Grimaud, J., Gimenez, G., Hermier, M., and Froment, J. C., “Analyse par histogramme du transfert d'aimantation pour l'étude de la sclérose en plaques”, in Conférences F. Lhermitte - 9e Rendez-Vous de l'ARSEP, Paris, France, 2000, pp. 41–42.
  21. [ZHU-99a]Y. M. Zhu, Grimaud, J., Reynaud, F., Pachai, C., Hermier, M., Gimenez, G., Froment, J. C., and Confavreux, C., “Segmentation of brain magnetic resonance images using the multiscale contour approach”, in 15th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS'99), Basel, Switzerland, 1999, vol. 5, p. 56.
  22. [PACH-99]C. Pachai, Zhu, Y. M., Guttmann, C., Grimaud, J., Hermier, M., Gimenez, G., Froment, J. C., and Confavreux, C., “Segmentation 3D, non supervisée et adaptative des tissus cérébraux en IRM multispectrale : application à la détection des lésions de SEP”, in Conférences F. Lhermitte-9e Rendez-Vous de l'ARSEP, Paris, France, 1999, p. 47.
  23. [DUPU-99b]O. Dupuis, Kaftandjian, V., Zhu, Y. M., and Babot, D., “Détection de défauts par fusion de signaux ultrasonores et d'images radiographiques”, in 17e Colloque GRETSI, Vanne, France, 1999, pp. 1045-1048.
  24. [BENT-99]L. Bentabet, Zhu, Y. M., Grimaud, J., Boudraa, A., Hermier, M., Gimenez, G., Froment, J. C., and Confavreux, C., “The combined use of FCM and evidence theory for segmentation of MS lesions in MRI”, in 15th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS'99), Basel, Switzerland, 1999, vol. 5, p. 56.
  25. [BOUD-98a]A. Boudraa, Zhu, Y. M., Dehak, S. M. R., Grimaud, J., Pachai, C., Dromigny-Badin, A., Hermier, M., Bao, Y. G., Gimenez, G., Froment, J. C., and Confavreux, C., “Segmentation automatique des lésions de sclérose en plaques en IRM par la logique floue”, in Journées de Neurologie de Langue Française, Paris, France, 1998, pp. 1S45-44.
  26. [PACH-98b]C. Pachai, Zhu, Y. M., Guttmann, C., Grimaud, J., Hermier, M., Gimenez, G., Froment, J. C., and Confavreux, C., “MS-TRACKER : validation à grande échelle d'un algorithme de détection automatique de la cavité intra-crânienne en IRM conventionnelle”, in V Conférences F.-Lhermitte, 8e Rendez-Vous de l'ARSEP, Paris, France, 1998, pp. 23–24.
  27. [DROM-98c]A. Dromigny-Badin, Zhu, Y. M., Gimenez, G., and Goutte, R., “Image segmentation through using the evidence theory based data fusion technique”, in IEEE CIE International Conference on Signal Processing, Beijing, P.R. China, 1998, pp. 994–997.
  28. [DROM-98b]A. Dromigny-Badin, Zhu, Y. M., Pachai, C., Bao, Y. G., Grimaud, J., Hermier, M., Boudraa, A., Gimenez, G., Froment, J. C., and Confavreux, C., “Développement d'un logiciel de détection et de quantification automatiques des lésions cérébrales de sclérose en plaques en IRM”, in Xème Réunion Annuelle de la Société Franco-Romande de Neurologie, Lyon, France, 1998.
  29. [DROM-98a]A. Dromigny-Badin, Zhu, Y. M., Grimaud, J., Pachai, C., Boudraa, A., Hermier, M., Gimenez, G., Froment, J. C., and Confavreux, C., “Use of data fusion technique for the automated segmentation of multiple sclerosis lesions in magnetic resonance images”, in Eighth Meeting of the European Neurological Society, Nice, France, 1998, p. 446.
  30. [DROM-97b]A. Dromigny-Badin and Zhu, Y. M., “Fusion de données complémentaires en vue de l'amélioration de la dynamique des systèmes d'imagerie”, in GRETSI'97, Grenoble, France, 1997, pp. 1415–1418.
  31. [PACH-97b]C. Pachai, Zhu, Y. M., Grimaud, J., Hermier, M., Dromigny-Badin, A., Boudraa, A., Gimenez, G., Froment, J. C., and Confavreux, C., “MS-TRACKER : un logiciel d'analyse et de quantification automatiques des lésions de sclérose en plaques en IRM conventionelle”, in Les 7èmes Rendez-Vous de l'ARSEP, Paris, France, 1997, pp. 15–16.
  32. [PACH-97a]C. Pachai, Zhu, Y. M., Grimaud, J., Hermier, M., Dromigny-Badin, A., Siberil, T., Gimenez, G., Froment, J. C., and Confavreux, C., “Automatic segmentation of multiple sclerosis lesions in 2D MRI data”, in 13th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS,97), Istanbul, Turkey, 1997, vol. 3, p. 338.
  33. [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.
  34. [DROM-97d]A. Dromigny-Badin, Zhu, Y. M., Pachai, C., Hermier, M., Grimaud, J., Gimenez, G., Froment, J. C., and Confavreux, C., “Segmentation of MS Lesions using evidence theory, Multiple Sclerosis”, in 13th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS,97), Istanbul, Turkey, 1997, vol. 13, p. 336.
  35. [DROM-97c]A. Dromigny-Badin, Zhu, Y. M., Pachai, C., Hermier, M., Grimaud, J., Gimenez, G., Froment, J. C., and Confavreux, C., “Segmentation of Multiple sclerosis lesions through fusion of multispectral magnetic resonance brain images”, in World Congress on Medical Physics and Biomedical Engineering, Nice, France, 1997, p. 722.
  36. [PACH-97d]C. Pachai, Zhu, Y. M., Grimaud, J., Hermier, M., Dromigny-Badin, A., Siberil, T., Gimenez, G., Confavreux, C., and Froment, J. C., “A multiresolution approach for automatic segmentation of multiple sclerosis lesions in conventional 2D MRI data”, in World Congress on Medical Physics and Biomedical Engineering, Nice, France, 1997, p. 724.
  37. [PACH-96]C. Pachai, Zhu, Y. M., Gimenez, G., Froment, J. C., Hermier, M., Confavreux, C., and Grimaud, J., “Segmentation et quantification automatiques des lésions de sclérose en plaques en IRM”, in Les 6èmes Rendez-Vous de l'ARSEP, 10 décembre 1996, Paris, France, 1996, p. 12.
  38. [MAGN-96a]I. E. Magnin, Rochard, G., Zhu, Y. M., Gimenez, G., Confavreux, C., and Froment, J. C., “Détection automatique des lésions encéphaliques de sclérose en plaques en IRM par approche pyramidale”, in Les Rendez-vous de l'ARSEP, Paris, France, 1996.
  39. [KARO-96]B. Karoubi, Zhu, Y. M., Gimenez, G., and Bigun, J., “Detection of objects in RF ultrasonic images using 2-D spatial phase techniques”, in IEEE international Conference on Image Processing, Lausanne, Suisse, 1996, vol. 1, pp. 641–644.
  40. [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.
  41. [DROM-96]A. Dromigny-Badin and Zhu, Y. M., “Amélioration de la dynamique des systèmes d'imagerie à rayons X par fusion bayésienne”, in Journées Thématiques du GdR ISIS en Fusion d'Informations, Paris, France, 1996, pp. 40–44.
  42. [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.
  43. [ZHU-94]Y. M. Zhu, Karoubi, B., and Gimenez, G., “Concept de phase spatiale : intérêt pour l'analyse de l'image”, in AGI'94 Colloque Automatique, Génie informatique, Image, Poitiers, France, 1994, pp. 353–356.
  44. [ZHU-93b]Y. M. Zhu, Gao, Y., and Goutte, R., “Texture feature discrimination based on detecting phase differences”, in IEEE International Conference on Signal Processing, Beijing, P.R. China, 1993, pp. 818-821.
  45. [ZHU-92c]Y. M. Zhu, Gao, Y., Goutte, R., and Amiel, M., “Textural boundary detection using local spatial frequency analysis”, in 11th IAPR Int. Conf. on Pattern Recognition, The Hague, The Netherlands, 1992, pp. 53–56.
  46. [ZHU-92b]Y. M. Zhu, Goutte, R., and Amiel, M., “Texture segmentation using 2-D Wigner analysis : An evaluation and comparison”, in EUSIPCO-92, Signal Processing VI : Theory and Applications, Brussels, Belgium, 1992, pp. 583–586.
  47. [ZHU-92f]Y. M. Zhu, Gao, Y., and Goutte, R., “An investigation of the Wigner model for texture discrimination”, in IEEE-SP Int. Symp. on time-frequency and time-scale analysis, Victoria, British Columbia, Canada, 1992, pp. 539–542.
  48. [ZHU-92e]Y. M. Zhu, Gao, Y., Amiel, M., and Goutte, R., “Analysis of chest CT images using Wigner distribution, October”, in Conf Proc IEEE Eng Med Biol Soc, Paris, France, 1992, pp. 1926–1927.
  49. [ZHU-92d]Y. M. Zhu, Gao, Y., and Goutte, R., “Texture features extraction using bilinear space/spatial-frequency representations”, in 3rd Int. Conf. on Visual Research, Nottingham, UK, 1992, pp. 1–6.
  50. [BASK-91c]A. Baskurt, Peyrin, F., Zhu, Y. M., and Goutte, R., “Analyse d'images par utilisation de spectres locaux”, in GRETSI, Juan-les-Pins, France, 1991, pp. 1061–1064.
  51. [PEYR-91c]F. Peyrin and Zhu, Y. M., “Représentation de Wigner Ville des images : application à l'analyse de textures”, in Réunion du Groupe de travail Signaux non stationnaires, GdR 134 CNRS, Paris, France, 1991.
  52. [BASK-91b]A. Baskurt, Peyrin, F., Zhu, Y. M., and Goutte, R., “Local spectrum analysis of medical images”, in SPIE Int. Conf. on Medical Imaging V : Image processing, San Jose, USA, 1991, vol. 1445, pp. 485–495.
  53. [ZHU-91d]Y. M. Zhu, Goutte, R., and Amiel, M., “On the use of the Wigner distribution for 2-D spectral analysis of images”, in IEEE Workshop on multi-dimensional signal processing, Some City, Some Country, 1991, pp. 2–7.
  54. [ZHU-91c]Y. M. Zhu, Gao, Y., and Goutte, R., “Stereo image compression by the combined use of the DCT and binocular fusion and rivalry”, in 1st Int. Symposium on 3-D images, Paris, France, 1991, pp. 204–211.
  55. [ZHU-91b]Y. M. Zhu, Peyrin, F., Goutte, R., and Amiel, M., “Caractérisation de textures par l'analyse spectrale locale”, in 13ème colloque GRETSI, Juan-les-Pins, France, 1991, pp. 989–992.
  56. [HANS-91]D. Hans, Berger-Vachon, C., Peyrin, F., Zhu, Y. M., and Kauffmann, I., “Application de la transformation de Wigner Ville pour la caractérisation des insuffisances vélaires”, in Colloque Traitement et représentation du signal et de la parole, Le Mans, France, 1991, pp. 1–4.
  57. [SONG-10]X. Song, Zhu, Y. M., Yang, F., and Luo, J. H., “Quantitative Study of Fiber Tracking Results in Human Cardiac DTI”, in IEEE ICSP'10, Beijing, China, 210AD, pp. 724-727.

Book Chapter

  1. [Xin-15]H. M. Xin and Zhu, Y. M., “Spot matching of 2-DE images using distance, intensity and pattern information”, in 2-D PAGE Map Analysis: Methods and Protocols, Humana Press., vol. in press, USA: Springer, 2015.
  2. [ZHU-01]Y. M. Zhu, Kaftandjian, V., and Babot, D., “Chapitre 8 : X-ray imaging and weld inspection using data fusion”, in Applications of NDT data fusion, Kluwer Academic, Publ., 2001, pp. 159–191.

Invited Conference

  1. [ZHU-99b]Y. M. Zhu, “Data fusion and image segmentation. Institut of Image”, Processing and Pattern Recognition, Shanghai Jiaotong University. Shanghai, P.R. China, 1999.
  2. [ZHU-99e]Y. M. Zhu, “Data fusion in medical imaging”, Electrical Department, Yuannan University. Yuannan, P.R. China, 1999.
  3. [ZHU-99d]Y. M. Zhu, “Medical image processing”, Service of Radiology, NingBo Hospital of Children and Women. NingBo, P.R. China, 1999.
  4. [ZHU-99c]Y. M. Zhu, “Data fusion in medical imaging”, Biomedical Department, Zhejian University. Hanzhou, P.R. China, 1999.

Thesis

  1. [CAST-12]C. Casta, “Estimation 3D conjointe forme/structure/mouvement dans des séquences dynamiques d’images. Application à l’obtention de modèles cardiaques patients spécifiques anatomiques et fonctionnels.”, Insa de Lyon, Lyon, 2012.PDF icon PhD.pdf (18.62 MB)
  2. [YANG-11b]F. Yang, “Interpolation des données en imagerie cardiaque par résonance magnétique du tenseur de diffusion”, INSA, Lyon, 2011.
  3. [FRIN-09c]C. Frindel, “Imagerie par résonance magnétique du tenseur de diffusion en imagerie cardiaque humaine: traitements et premières interprétations”, INSA, Lyon, 2009.
    Jury : Nicole VINCENT (Rap), Jiang TIANZI (Rap), Jens GUEHRING, Cyril POUPON, Rachid DERICHE (Pdt), Pierre CROISILLE, Yue-Min ZHU (co-Dir), Marc ROBINI (co-Dir)

Miscellaneous

  1. [WANG-12]L. Wang, Camarasu-Pop, S., Glatard, T., Zhu, Y. M., and Magnin, I. E., “Diffusion MRI Simulation with the Virtual Imaging Platform”, Journées scientifiques mésocentres et France Grilles 2012. Paris, France, 2012.
    http://hal.archives-ouvertes.fr/docs/00/76/60/81/PDF/Grid_Paper_06_09_2012.pdf

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