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Conference Paper

  1. [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.
  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. [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.
  4. [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.
  5. [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.
  6. [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.
  7. [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.
  8. [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.
  9. [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.
  10. [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.
  11. [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.
  12. [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.
  13. [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.
  14. [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.
  15. [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.
  16. [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.
  17. [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.
  18. [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.
  19. [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.
  20. [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.
  21. [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.
  22. [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.
  23. [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.
  24. [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.
  25. [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.
  26. [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.
  27. [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.
  28. [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.
  29. [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.
  30. [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.
  31. [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.
  32. [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.

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-99c]Y. M. Zhu, Data fusion in medical imaging, Biomedical Department, Zhejian University. Hanzhou, 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-99e]Y. M. Zhu, Data fusion in medical imaging, Electrical Department, Yuannan University. Yuannan, P.R. China, 1999.

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