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Publications

Exporter 184 résultats :
In Press
  1. [LUO-11a] J. H. Luo, and Y. M. Zhu, "Denoising of Medical Images Using a Reconstruction-Average Mechanism", Digital Signal Processing, In Press.
  2. [YANG-11] F. Yang, Y. M. Zhu, I. E. Magnin, J. H. Luo, P. Croisille, and P. B. Kingsley, "Feature-Based Interpolation of Diffusion Tensor Fields and Application to Human Cardiac DT-MRI", Medical Image Analysis, In Press.
  3. [LUO-11b] J. H. Luo, Y. M. Zhu, W. Q. Li, P. Croisille, and I. E. Magnin, "MR Image Reconstruction from Two-Dimensional Truncated k-Space", Journal of Magnetic Resonance Imaging, In Press.
2013
  1. [Varr-13b] F. Varray, L. H. Wang, L. Fanton, Y. M. Zhu, and I. E. Magnin, "High resolution extraction of local human cardiac fibre orientations", International Conference on Functional Imaging and Modeling of the Heart, London, England, LNCS 7945, pp. 150-157, 2013.
  2. [BAO-13] L. Bao, M. Robini, W. Liu, and Y. M. Zhu, "Structure-adaptive sparse denoising for diffusion-tensor MRI", Medical Image Analysis, vol. 17, no. 4, pp. 442-457, 2013.
2012
  1. [ROBI-12] M. Robini, Y. M. Zhu, and J. H. Luo, "A generic half-quadratic algorithm for signal reconstruction", 9th IMA Int. Conf. Mathematics in Signal Processing, Birmingham (UK), pp. 1-4, 2012.
  2. [ROBI-12] M. Robini, Y. M. Zhu, and J. H. Luo, "A generic half-quadratic algorithm for signal reconstruction", 9th IMA Int. Conf. Mathematics in Signal Processing, Birmingham (UK), pp. 1-4, 2012.
  3. [DELA-12] B. M. Delattre, M. Viallon, H. J. Wei, Y. M. Zhu, T. Feiweier, V. M. Pai, H. Wen, and P. Croisille, "In-vivo cardiac diffusion weighted MRI: quantification of normal perfusion and diffusion coefficients with intravoxel incoherent motion imaging", Invest. Radiol, 2012.
  4. [STOI-12] R. Stoica, J. Pousin, C. Casta, P. Croisille, Y. M. Zhu, and P. Clarysse, "Integrating fiber orientation constraint into a spatio-temporal FEM model for heart borders and motion tracking in dynamic MRI", Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, MICCAI STACOM workshop, vol. 7746, Nice, France, Springer, 2012.
  5. [DELA-12] B. M. A. Delattre, M. Viallon, H. J. Wei, Y. M. Zhu, V. M. Pai, H. Wen, and P. Croisille, "Intravoxel Incoherent Motion applied to Cardiac diffusion weighted MRI using breath-hold acquisitions in healthy volunteers", Society for Cardiovascular Magnetic Resonance (SCMR) 2012, Orlando, Florida,USA, 2012.
  6. [WANG-11] L. H. Wang, Y. M. Zhu, L. H.Y., W. Y. Liu, and I. E. Magnin, "Multi-Scale Modeling and Simulation of the Cardiac Fiber Architecture for DMRI", IEEE Trans. Biomedical Engineering, vol. 59, no. 1, pp. 16-19, 2012 .
2011
  1. [WANG-11] Y. Wang, G. Courbebaisse, and Y. M. Zhu, "Segmentation of Giant Cerebral Aneurysm Using a Multilevel Object Detection Scheme Based on Lattice Boltzmann Method", IEEE International Conference on Signal Processing, Communications and Computing, vol. 3799, XI'AN, IEEE, September, 2011 .
  2. [LIU-11] Q. G. Liu, J. H. Luo, and Y. M. Zhu, "Adaptive Image Decomposition by Improved Bilateral Filter", International Journal of Computer Applications, vol. 23, no. 7, pp. 16-22, 2011.
  3. [CASTA-11] C. Casta, P. Clarysse, J. Pousin, J. Schaerer, P. Croisille, and Y. M. Zhu, "Driving Dynamic Cardiac Model Adaptation with MR-Tagging Displacement Information", FIMH 2011: LNCS 6666, pp. 137-144, 2011.
  4. [ZHANG-11] N. Zhang, S. Ruan, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Kernel Feature Selection to Fuse Multi-spectral MRI Images for Brain Tumor Segmentation", Computer Vision and Image Understanding, vol. 115, pp. 256 - 269, 2011.
  5. [BERK-11] M. Berkane, P. Clarysse, J. Y. Njiwa, Y. M. Zhu, and I. E. Magnin, "A neural network based summarizing method of periodic image sequences", Neural Network World, vol. 20, pp. 687-703, 2011.
  6. [ZHANG-11b] N. Zhang, Q. M. Liao, S. Ruan, S. Lebonvallet, and Y. M. Zhu, "A novel segmentation and evaluation system for brain tumor based on 3D information in MRI image sequences", Journal of Tsinghua University, vol. 51, pp. 96-100, 2011.
  7. [SUN-11] C. Y. Chu, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "Adaptive Diffusion Basis Functions Decomposition for Estimating Intra-voxel Myocardium Fiber Geometry", International Congress on Image and Signal Processing (CISP) and International Conference on BioMedical Engineering and Informatics (BMEI), SHANGHAI, China, 10/2011.
  8. [SUN-11] C. Y. SUN, X. S. Qin, L. H. Wang, and Y. M. Zhu, "Recovering Missing Diffusion Signal Data for Reconstructing Fiber Orientations", International Congress on Image and Signal Processing (CISP) and International Conference on BioMedical Engineering and Informatics (BMEI), SHANGHAI, China, pp. 238-242, 10/2011.
  9. [LUO-11c] J. H. Luo, J. H. Liu, W. Q. Li, Y. M. Zhu, and R. Y. Jiang, "Image Reconstruction from Sparse Projections Using S-Transform,", Journal of Mathematical Imaging and Vision, vol. 10, pp. 1-13, 08/2011.
  10. [Wang-11] L. H. Wang, Y. M. Zhu, H. Y. Li, W. Y. Liu, and I. E. Magnin, "Simulation of Diffusion Anisotropy In DTI for Virtual Cardiac Fiber Structure", Functional Imaging and Modeling of the Heart (FIMH 2011), New York, springer, pp. 95~104, 05/2011 .  Téléchargement: 66660095.pdf (561.83 Ko)
  11. [WANG-11] Y. Wang, Y. M. Zhu, G. Courbebaisse, and L. Diing, "Detection and Extraction of Feature Points in Robot Vision Using Lattice Boltzmann Method", Science Technology and Engineering, vol. 11, no. 32, pp. 8045-8048, 2011 .
  12. [ROBI-11c] M. Robini, P. - J. Viverge, Y. M. Zhu, and J. H. Luo, "Globally convergent edge-preserving reconstruction with contour-line smoothing", 7th Int. Conf. Pattern Recognition and Computer Vision, Amsterdam (Netherlands), pp. 885-890, 2011.
  13. [YANG-11] F. Yang, Y. M. Zhu, S. Rappachi, J. H. Luo, M. Robini, and P. Croisille, "Interpolation of vector fields from human cardiac DT-MRI", Physics in Medicine and Biology, vol. 56, no. 5, pp. 1415-1430, 2011.
2010
  1. [RUAN-10] S. Ruan, N. Zhang, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Fusion and Classification of Multi-Source Images by SVM with Selected Features in a Kernel Space", IEEE Workshops on Image Processing Theory, Tools and Applications, Paris, pp. 17-20, 2010.
  2. [LUO-10] J. H. Luo, W. Q. Li, and Y. M. Zhu, "Image Reconstruction from Limited-Angle Projections Based on -u Spectrum Analysis", IEEE Trans. on Image Processing, vol. 19, pp. 131-140, 2010.
  3. [XIE-10] K. Xie, and Y. M. Zhu, "Interactive Surgery Simulation for the Nose Augmentation Using CT Data", Neural Computing & Applications, vol. 19, pp. 61-65, 2010.
  4. [LUO-10] J. H. Luo, Y. M. Zhu, and B. Hiba, "Medical Image Denoising Using One-Dimensional Singularity Function Model", Computerized Medical Imaging and Graphics, vol. 34, pp. 167-176, 2010.
  5. [NJIWA-10] J. Y. Njiwa, Y. M. Zhu, J. H. Luo, and B. Hiba, "Reconstruction of Cardiac Cine MR Images from Partial k-Space", SRX Physics, pp. doi:10.3814/2010/850392, 2010.
  6. [ZHANG-10] Y. L. Zhang, W. Y. Liu, I. E. Magnin, and Y. M. Zhu, "Enhancement of Human Cardiac DT-MRI Data Using Locally Adaptive Filtering", IEEE ICSP'10, Beijing, China, pp. 744-747, 10/2010.
  7. [YANG-10] F. Yang, Y. M. Zhu, X. Song, J. H. Luo, and P. Clarysse, "Interpolation of Human Cardiac DT-MRI Data Using Polar Coordinates", IEEE ICSP'10, Beijing,China, 10/2010.
  8. [LUO-10] J. H. Luo, S. S. Wang, M. Y. Xiao, L. Zhang, and Y. M. Zhu, "Magnetic Resonance Image Denoising Using Spectral Data Substitution", CISP'10, pp. 738-742, 10/2010.
  9. [SONG-10] X. Song, Y. M. Zhu, F. Yang, and J. H. Luo, "Analysis of Myocardial Fiber Structure Using DTI", FCC 2010, pp. 109-112, 09/2010.
  10. [BERK-10] M. Berkane, P. Clarysse, J. Yankam Njiwa, Y. M. Zhu, and I. E. Magnin, "Spatio-temporal summarizing method of periodic image sequences with Kohonen Maps", Neural Network World, vol. 20, no. 6, pp. 687-703, 2010.
  11. [FRIN-10] C. Frindel, M. Robini, P. Croisille, and Y. M. Zhu, "A graph-based approach for automatic cardiac tractography", Magn Reson Med, vol. 64, no. 4, pp. 1215-1229, 2010.
  12. [CAST-10] C. Casta, P. Clarysse, J. Pousin, J. Schaerer, P. Croisille, and Y. M. Zhu, "Incorporating low-level constraints for the retrieval of personalised heart models from dynamic MRI", Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM), MICCAI 2010 Workshop, vol. LNCS 6364: Springer-Verlag Berlin Heidelberg, pp. 174-183, 2010.
2009
  1. [FRIN-09b] C. Frindel, M. Robini, P. Croisille, and Y. M. Zhu, "Cardiac Fibre Trace Clustering for the interpretation of the Human Heart Architecture", Proc. 4th Int. Conf. FIMH, Nice, France, pp. 39-48, June, 2009.
  2. [ROBI-09] M. Robini, P. - J. Viverge, Y. M. Zhu, and I. E. Magnin, "Edge-preserving image reconstruction with wavelet-domain edge continuation", Proc. 6th Int. Conf. Image Analysis and Recognition, Halifax, Canada, pp. 13-22, July, 2009.
  3. [SHI-09] F. Shi, J. Yang, and Y. M. Zhu, "Automatic segmentation of bladder in CT images", Journal of Zhejiang University: Science A, vol. 10, pp. 239-246, 2009.
  4. [LUO-09] J. H. Luo, H. Luo, and Y. M. Zhu, "Image Reconstruction Scheme Based on Phase Correction and Singularity Function Analysis Model", Journal of Signal Processing Systems, vol. 54, pp. 79-88, 2009.
  5. [FRIN-09] C. Frindel, M. Robini, J. Schaerer, P. Croisille, and Y. M. Zhu, "Improved global cardiac tractography with simulated annealing", IEEE ICIP, Cairo, Egypt, pp. 813-816, 11/2009.
  6. [ZHANG-09] N. Zhang, S. Ruan, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Multi-kernel SVM based classification for image segmentation of MRI multi-sequence", IEEE ICIP, Cairo, Egypt, pp. 3373-3376, 11/2009.
  7. [BAO-09] L. J. Bao, W. Y. Liu, Z. B. Pu, L. Fanton, S. Rapacchi, P. Croisille, Y. M. Zhu, and I. E. Magnin, "An adaptive denoising method dedicated to human cardiac MR-DTI", CISP'09, TIANJIN,China, pp. 4p, 10/2010, 2009.
  8. [XIN-09] H. M. Xin, and Y. M. Zhu, "New Registration Method for Two-dimensional Gel Electrophoresis Images", BMEI'09, TIANJIN,China, pp. 4p, 10/2009.
  9. [RUAN-09] S. Ruan, N. Zhang, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "Fusion et classification d'images multi-sources par SVM avec sélection des caractéristiques dans l'espace à noyau", GRETSI, Dijon,France, pp. 4p, 09/2009.
  10. [YANG-09] F. Yang, Y. M. Zhu, X. Song, S. Rappachi, P. Croisille, and M. Robini, "Interpolation avec réduction du bruit du champ de vecteurs 3D en IRM cardiaque du tenseur de diffusion", GRETSI, Dijon, France, 09/2009.
  11. [ZHANG-09] N. Zhang, S. Ruan, S. Lebonvallet, Q. M. Liao, and Y. M. Zhu, "SVM Based Follow-up System for Brain Tumor from Magnetic Resonance Images", IFAC Symposium on Modelling and Control in Biomedical Systems, Aalborg, Denmark, 08/2009.
  12. [ZHANG-09] L. Zhang, J. M. Chen, Y. M. Zhu, and J. H. Luo, "Comparisons of several new de-noising methods for medical images", International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, pp. 4p, 06/2009.
  13. [CHEN-09] J. M. Chen, L. Zhang, Y. M. Zhu, and J. H. Luo, "MRI Reconstruction From 2D Partial k-Space Using POCS Algorithm", International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, pp. 4p, 06/2009.
  14. [YANG-09] F. Yang, X. Song, S. Rappachi, L. Fanton, P. Croisille, and Y. M. Zhu, "Noise-Reduced TPS Interpolation of Primary Vector Fields for Fiber Tracking in Human Cardiac DT-MRI", FIMH, Nice,France, LNCS, 06/2009.
  15. [ZHANG-09] N. Zhang, Q. M. Liao, S. Ruan, S. Lebonvallet, and Y. M. Zhu, "Multi-kernel SVM based classification for segmentation by fusion of MRI images", IST 2009, ShenZhen, China, pp. 4p, 05/2009.
  16. [XIN-09] H. X. Xin, J. Yang, and Y. M. Zhu, "A Feature-Preserving Filtering Approach for Point Set Surface and Surface Attributes Based on Robust Statistics", J Inf Sci Eng, pp. in-press, 2009.
  17. [NJIWA-09] J. Yankam Njiwa, M. Berkane, J. H. Luo, P. Clarysse, I. E. Magnin, and Y. M. Zhu, "Reconstruction of cardiac Cine MR Images using analytic image and neural networks", ISPA'09, Salzburg, Austria, pp. in-press, 2009.
  18. [FRIN-09] C. Frindel, M. Robini, P. Croisille, and Y. M. Zhu, "Comparison of regularization methods for human cardiac diffusion tensor MRI", Med Image Anal, vol. 13, pp. 405–418, 2009 .
  19. [LUO-09a] J. H. Luo, Y. M. Zhu, and I. E. Magnin, "Denoising by Averaging Reconstructed Images: Application to Magnetic Resonance Images", IEEE Trans Biomed Eng, vol. 56, no. 3, pp. 666–674, 2009 .
  20. [BAO-09] L. J. Bao, Y. M. Zhu, W. Y. Liu, P. Croisille, Z. B. Pu, M. Robini, and I. E. Magnin, "Denoising of human cardiac diffusion tensor magnetic resonance images using sparse representation combined with segmentation", Phys Med Biol, vol. 54, pp. 1435–1456, 2009 .
  21. [LUO-09b] J. H. Luo, and Y. M. Zhu, "Image Reconstruction Scheme Based on Phase Correction and Singularity Function Analysis Model", J Signal Proces Syst, vol. 54, pp. 79–88, 2009.
  22. [XIE-09a] K. Xie, and Y. M. Zhu, "Interactive Surgery Simulation for the Nose Augmentation Using CT Data", Neural Comput Appl, pp. in-press, 2009 .
  23. [XIN-09] H. M. Xin, and Y. M. Zhu, "Multiple information-based spot matching method for two-dimensional gel electrophoresis images", Electrophoresis, pp. in-press, 2009.
  24. [BAO-09b] L. J. Bao, W. Y. Liu, Z. B. Pu, L. Fanton, S. Rapacchi, P. Croisille, Y. M. Zhu, and I. E. Magnin, "Sparse representation based MRI denoising with total variation", IEEE ICSP'08, Tianjin, China, pp. in press, 2009.
2008
  1. [FRIN-08] C. Frindel, P. Gueth, P. Clarysse, Y. M. Zhu, and M. Robini, "A global approach to cardiac tractography", Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, pp. 883–886, May, 2008 .
  2. [LUO-08] J. H. Luo, L. Zhang, Y. G. Bai, X. Y. Ding, and Y. M. Zhu, "Representation of Signals and Images by Complex Coefficient Weighted Singularity Functions", IEEE ICSP'08 , Beijing, China, pp. 1071-1074, 10/2008.
  3. [LIU-08] W. Y. Liu, Z. J. Tang, Y. M. Zhu, W. H. Liu, S. Hu, Y. L. Zhang, L. H. Wang, and I. E. Magnin, "Novel data enhancement technology for ultrasonic stereovision", Optics and Precision Engineering, vol. 16, pp. 1759–1766, 2008.
  4. [XIE-08b] K. Xie, J. Yang, and Y. M. Zhu, "The 3D Cutting Algorithm Based on Surface Reconstruction", Sciencepaper Online, vol. June, 2008.
  5. [XIE-08c] K. Xie, S. Yang, and Y. M. Zhu, "High-Quality Multi-resolution Volume Rendering Based on Medical Dataset", Sciencepaper Online, vol. June, 2008.
  6. [XIN-08] H. M. Xin, Y. M. Zhu, and R. Goutte, "Investigation of the role of spot pattern information in two-dimensional gel electrophoresis image registration", Signal Processing; ICSP'2008, Beigin par Beijing, R.P. China, pp. 72170–2173, 2008 .
  7. [QIN-08b] H. X. Qin, J. Yang, and Y. M. Zhu, "Nonuniform Bilateral filtering for Point Sets and Surface Attributes", The Visual Computer-International Journal of Computer Graphics, vol. 24, pp. 1067–1074, 2008.
  8. [QIN-08a] H. X. Qin, J. Yang, and Y. M. Zhu, "A Novel Meshless Method for Point Set Surface Processing", Optical Engineering, vol. 47, 2008 .
  9. [LUO-08] J. H. Luo, Y. M. Zhu, and I. E. Magnin, "Phase correction based singularity function analysis for partial k-space reconstruction", Magn Reson Imaging, vol. 26, pp. (746–753), 2008 .
  10. [XIE-08a] K. Xie, J. Yang, and Y. M. Zhu, "Real-time visualization of large volume datasets on standard PC hardware", Comput Meth Prog Bio, vol. 90, pp. 117–123, 2008.
2007
  1. [YANK-07a] J. Yankam Njiwa, B. Hiba, and Y. M. Zhu, "Cardiac Cine MR Reconstruction From Partial k-Space Using the Notion of Analytic Image", Conf Proc IEEE Eng Med Biol Soc, vol. 2007, Lyon, France, pp. 2057-2060, August, 2007.
  2. [XIN-07] H. M. Xin, Y. M. Zhu, and L. F. Wu, "A Comparative Study of Adaptive Registration Methods for Two Dimensional Gel Electrophoresis Images", IEEE Embc, Lyon, France, pp. 6239-6242, 2007.
  3. [NJIWA-07] J. Y. Njiwa, Y. M. Zhu, M. Robini, and I. E. Magnin, "Magnetic Resonance Image Reconstruction Using Analytic Image Representation", Nuclear Instruments and Methods in Physics Research A, vol. 571, pp. 73-76, 2007.
  4. [GAO-07] W. Gao, Y. M. Zhu, S. Rapacchi, E. Stephan, L. Fanton, and P. Croisille, "Analyse spatio-directionnelle des images de tenseur de diffusion en IRM cardiaque par ondelettes", JRIM 2007, Dijon, France, pp. 33, 09/2007.
  5. [RAPA-07] S. Rapacchi, C. Frindel, E. Stephant, L. Fanton, Y. M. Zhu, and P. Croisille, "Vers un modèle statistique des fibres du myocarde chez l'homme en IRM de tenseur de diffusion", JRIM 2007, Dijon, France, pp. 33, 09/2007.
  6. [LUO-07] J. H. Luo, and Y. M. Zhu, "Magnetic Resonance Image Reconstruction Using Equation System Solving-Based Singularity Function Analysis", IEEE Embc, Lyon, France, pp. 751-754, 08/2007.
  7. [BAO-07] L. Bao, Y. M. Zhu, W. Y. Liu, M. Robini, Z. Pu, and I. E. Magnin, "Analysis of cardiac diffusion tensor magnetic resonance images using sparse representation", Proc. 29th Int. Conf. IEEE EMBS, Lyon, France, pp. 4516-4519, 2007.
  8. [XIE-07a] K. Xie, J. Yang, and Y. M. Zhu, "Fast collision detection based on nose augmentation virtual surgery", Comput Meth Prog Bio, vol. 88, pp. 1–7, 2007.
  9. [XIE-07c] K. Xie, J. Yang, and Y. M. Zhu, "Interactive volume cutting of medical data", Comput Biol Med, vol. 37, pp. 1155–1159, 2007.
  10. [MIAO-07] P. Miao, B. Hiba, J. H. Luo, D. Sappey-Marinier, I. E. Magnin, and Y. M. Zhu, "MR image reconstruction from partial k-space using singularity function representations", Comput Med Imag Graph, vol. 571, pp. 239–242, 2007 .
  11. [MILL-07] J. Milles, Y. M. Zhu, G. Gimenez, C. R. G. Guttmann, and I. E. Magnin, "MRI intensity nonuniformity correction using simultaneously spatial and gray-level histogram information", Comput Med Imag Graph, vol. 31, pp. 81–90, 2007 .
  12. [XIE-07b] K. Xie, J. Yang, and Y. M. Zhu, "Real time volume rendering of large datasets on standard PC hardware", Computer Applications, vol. 27, pp. 1129–1131, 2007.
  13. [LIU-07] W. Y. Liu, Y. L. Zhang, W. H. Liu, S. Hu, Y. M. Zhu, and I. E. Magnin, "A robust algorithm based on nonstationary degree for ultrasonic data enhancement", IEEE Int. Conf. on Systems, Man and Cybernetics, Montreal, Que., Canada, pp. 1061–1066, 2007 . Abstract
  14. [FRIN-07] C. Frindel, M. Robini, S. Rapacchi, E. Stephant, Y. M. Zhu, and P. Croisille, "Towards in vivo diffusion tensor MRI on human heart using edge-preserving regularization", Proc. 29th Int. Conf. IEEE EMBS, Lyon, France, pp. 6007-6010, 2007.
2006
  1. [YANK-06b] J. Yankam Njiwa, Y. M. Zhu, J. Liou, and I. E. Magnin, "Image reconstruction from partial k-space using the notion of analytic image", 8th International Conference on Signal Processing (ICSP), Guilin, R.P. China, pp. 994-997, November, 2006.
  2. [YANK-06a] J. Yankam Njiwa, Y. M. Zhu, M. Robini, and I. E. Magnin, "Magnetic resonance image reconstruction using the notion of analytic image", EUROMEDIM Conference(Euromedim 2006), Marseille, France, pp. 73-76, May, 2006.
  3. [BELA-06] B. Belaroussi, C. S. J. Milles, Y. M. Zhu, and H. Benoit-Cattin, "Intensity Nonuniformity Correction in MRI: Existing Methods and Their Validation", Medical Image Analysis, vol. 10, pp. 234-246, 2006.
  4. [XIE-06] K. Xie, J. Yang, and Y. M. Zhu, "Real-time and Precise Collision Detection based on Surgery Simulation", MIAR 2006, SHANGHAI, China, pp. 164-170, 08/2006.
  5. [LI-06] X. L. Li, H. X. Qin, J. Yang, and Y. M. Zhu, "Fractal volume rendering", IEEE ICASSP, Toulouse, France, pp. 489-492, 05/2006.
  6. [YANK-06] J. Yankam Njiwa, Y. M. Zhu, M. Robini, J. H. Luo, and I. E. Magnin, "Image reconstruction from partial k-space using the notion of analytic image", Int. Conf. Signal Processing, Guilin, R.P. China, pp. 994-997, 2006.
  7. [LI-06a] X. L. Li, J. Yang, and Y. M. Zhu, "Combining Estimators for Monte Carlo Volume Rendering with Shading", Visual Comput, vol. 22, pp. 468–477, 2006.
  8. [MILL-06] J. Milles, Y. M. Zhu, N. Chen, L. Panych, G. Gimenez, and C. R. G. Guttmann, "Computation of Transmitted and Received B1 Fields in Magnetic Resonance Imaging", IEEE Trans Biomed Engin, vol. 53, no. 5, pp. 885-895, 2006.
  9. [LI-06b] X. L. Li, J. Yang, and Y. M. Zhu, "DRR generation by an adaptive Monte Carlo method", Phys Med Biol, vol. 51, no. 11, pp. 2745–2752, 2006.
  10. [LI-06] X. L. Li, J. Yang, K. Xie, and Y. M. Zhu, "High Quality Rendering with Depth Cueing of Volumetric Data Using Monte Carlo Integration", Comput Biol Med, vol. 36, no. 9, pp. 1014–1025, 2006.
  11. [YU-06] Z. Q. Yu, Y. M. Zhu, J. Yang, and Y. M. Zhu, "Hybrid Region-Boundary Model for Cerebral Cortical Segmentation in MRI", Comput Med Imag Grap, vol. 30, pp. 197–208, 2006.
  12. [BELA-06] B. Belaroussi, J. Milles, S. Carme, Y. M. Zhu, and H. Benoit-Cattin, "Intensity non-uniformity correction in MRI: Existing methods and their validation", Med Image Anal, vol. 10, pp. 234-246, 2006.
2005
  1. [XIE-05d] K. Xie, J. Yang, and Y. M. Zhu, "Multi-resolution LOD Volume Rendering In Medicine", The International Conference on Computational Science, Some City, Some Country, pp. 925-932, 2005.
  2. [KAFT-05] V. Kaftandjian, Y. M. Zhu, O. Dupuis, and D. Babot, "The combined use of the evidence theory and fuzzy logic for improving multimodal non destructive testing systems", IEEE Trans Instr Measur, vol. 54, no. 5, pp. 1968-1977, 2005.
  3. [LUO-05] J. H. Luo, Y. M. Zhu, P. Clarysse, and I. E. Magnin, "Correction of Bias Field in MR Images Using Singularity Function Analysis", IEEE Trans Med Imaging, vol. 24, no. 8, pp. 1067-1085, 2005.
  4. [CHEN-05] L. S. Cheng, J. Yang, X. Fan, and Y. M. Zhu, "A Generalized Level Set Formulation of the Mumford-Shah Functional for Brain MR Image Segmentation", Information Processing in Medical Imaging (IPMI'05), Colorado, USA, pp. 418-430, 2005.
  5. [XIE-05] K. Xie, J. Yang, Y. M. Zhu, and X. L. Li, "HVS-Based medical image compression", Eur J Radiol, vol. 55, no. 1, pp. 139-145, 2005.
  6. [XIE-05b] K. Xie, J. Yang, and Y. M. Zhu, "Real-time rendering of 3D medical data sets", Future Generation Computer Systems, vol. 21, no. 4, pp. 573-581, 2005 .
  7. [ZHAO-05] J. Zhao, Y. M. Zhu, P. M. Sing, Q. Fan, and J. H. Luo, "Recognition of gene acceptor site based on multi-objective optimization", Acta Biochim Biophys Sin, vol. 37, no. 7, pp. 435-439, 2005.
  8. [XIE-05c] K. Xie, J. Yang, and Y. M. Zhu, "Semi-automated brain tumor and edema segmentation using MRI", Eur J Radiol, vol. 56, no. 1, pp. 12-19, 2005 .
2004
  1. [MILL-04c] J. Milles, and Y. M. Zhu, "Model-Based Intensity Nonuniformity Correction in Brain MRI", IEEE CIE 7th International Conference on Signal Processing, Beijing, P.R. China, 2004.
  2. [LUO-04] J. H. Luo, and Y. M. Zhu, "MR Image reconstruction from truncated k-space using a layer singular point extraction technique", IEEE Trans Nucl Sci, vol. 51, no. 1, pp. 157-169, 2004.
  3. [MILL-04b] J. Milles, Y. M. Zhu, N. Chen, L. Panych, G. Gimenez, R. G. Charles, and C. Guttmann, "MRI intensity inhomogeneity correction using simultaneously spatial and gray-level histogram information", SPIE Medical Imaging, vol. 5370, San Diego (California, USA), pp. 734-742, 2004.
  4. [ZHOU-04] L. Q. Zhou, Y. M. Zhu, J. Grimaud, M. Hermier, M. Rovaris, and M. Filippi, "A new method for analyzing histograms of brain magnetization transfer ratios: comparison with existing techniques", Am J Neuro Radiol, vol. 25, no. 7, pp. 1234-1241, 2004.
2003
  1. [MILL-03] J. Milles, Y. M. Zhu, N. Chen, L. Panych, G. Gimenez, and C. R. G. Guttman, "Computation of transmitted and received B1 fields in magnetic resonance imaging", CARS 2003 Computer Assisted Radiology and Surgery-17th International Congress and Exhibition, London, UK, pp. 1323, 2003.
  2. [ZHU-03] Y. M. Zhu, J. H. Luo, P. Clarysse, and I. E. Magnin, "Correction des inhomogénéités d'intensité en IRM", Conférences F. Lhermitte - 13e Rendez-Vous de l'ARSEP, Paris, France, pp. 35, 2003.
  3. [KAFT-03] V. Kaftandjian, O. Dupuis, D. Babot, and Y. M. Zhu, "Uncertainty modelling using Dempster-Shafer theory for improving detection of weld defects", Pattern Recogn Lett, vol. 24, pp. 547-564, 2003.
2002
  1. [GRIM-02b] J. Grimaud, L. Q. Zhou, and Y. M. Zhu, "Application de l'IRM par transfert d'aimantation à l'étude de la sclérose en plaques", Rev Neurol, vol. 158, no. 12, pp. 1157-1173, 2002.
  2. [ZHU-02a] Y. M. Zhu, L. Bentabet, O. Dupuis, V. Kaftandjian, D. Babot, and M. Rombaut, "Automatic determination of mass functions in Dempster-Shafer theory using fuzzy C-Means and spatial neighbourhood information for image segmentation", Optical Engineering, vol. 41, no. 04, pp. 760–770, 2002.
  3. [ZHU-02b] Y. M. Zhu, J. Grimaud, L. Q. Zhou, M. Filippi, and M. Rovaris, "Comparative study of different brain MTR parameters for the study of multiple sclerosis", 6 Congress of the European Federation of Neurological Societies, Vienna, Austria, pp. 131, 2002.
  4. [MILL-02a] J. Milles, Y. M. Zhu, G. Gimenez, and C. R. G. Guttman, "Correction des inhomogénéités d'intensité en IRM", Conférences F. Lhermitte - 12e Rendez-Vous de l'ARSEP, Paris, France, pp. 16-17, 2002.
  5. [GANN-02] M. Ganna, M. Rombaut, R. Goutte, and Y. M. Zhu, "Improvement of brain lesions detection using information fusion approach", IEEE CIE - International Conference on Signal Processing, Beijing, P.R. China, pp. 4, 2002.
  6. [GRIM-02a] J. Grimaud, Y. M. Zhu, and M. Rombaut, "Les techniques d'analyse quantitative des IRM cérébrales : application à la sclérose en plaques", Rev Neurol, vol. 158, no. 3, pp. 381–389, 2002.
  7. [ROMB-02] M. Rombaut, and Y. M. Zhu, "Study of Dempster-Shafer theory for image segmentation applications", Image Vision Comput, vol. 20, no. 1, pp. 15-23, 2002.
2001
  1. [ZHU-01] Y. M. Zhu, V. Kaftandjian, and D. Babot, "Chapitre 8 : X-ray imaging and weld inspection using data fusion", Applications of NDT data fusion: Kluwer Academic, Publ., pp. 159–191, 2001.
  2. [ZHOU-01] L. Q. Zhou, Y. M. Zhu, C. Bergot, A. M. Laval-Jeantet, V. Bousson, J. D. Laredo, and M. Laval-Jeantet, "A method of Radio-Frequency inhomogeneity correction for tissue classification in brain MRI", Comput Med Imag Grap, vol. 25, pp. 379-389, 2001.
  3. [PACH-01] C. Pachai, Y. M. Zhu, C. Guttmann, R. Kikinis, F. A. Jolesz, G. Gimenez, J. C. Froment, C. Confavreux, and S. K. Warfield, "Unsupervised and adaptive segmentation of multispectral 3D magnetic resonance images of human brain : a generic approach", Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01), Utrecht, The Netherlands, pp. 1067-1074, 2001.
2000
  1. [ZHOU-00] L. Q. Zhou, Y. M. Zhu, J. Grimaud, G. Gimenez, M. Hermier, and J. C. Froment, "Analyse par histogramme du transfert d'aimantation pour l'étude de la sclérose en plaques", Conférences F. Lhermitte - 9e Rendez-Vous de l'ARSEP, Paris, France, pp. 41–42, 2000.
  2. [BOUD-00] A. Boudraa, S. M. R. Dehak, Y. M. Zhu, C. Pachai, Y. G. Bao, and J. Grimaud, "Automated segmentation of multiple sclerosis lesions in multispectral MRI using fuzzy clustering", Comput Biol Med, vol. 30, no. 1, pp. 23–40, 2000.
  3. [PACH-00c] C. Pachai, S. K. Warfield, Y. M. Zhu, C. Guttmann, J. C. Froment, and C. Confavreux, "Automatic quantification of brain atrophy in MS using millimetric T1-weighted MRI", ECTRIMS, Toulouse, France, 2000.
  4. [PACH-00b] C. Pachai, Y. M. Zhu, C. Guttmann, J. Grimaud, M. Hermier, G. Gimenez, C. Confavreux, and J. C. Froment, "L Unsupervised, adaptative, 3D Segmentation of brain tissues in multispectral MRI : application to quantification of multiple sclerosis lesions", 10th Meeting of the European Neurological Society, Jerusalem, Israel, pp. 820, 2000.
  5. [LUO-00] J. H. Luo, S. Hao, and Y. M. Zhu, "Layer extraction technique applied to edge detection of MR images with truncation artifacts", IEEE Nuclear Science Symposium and Medical Imaging Conference, Lyon, France, pp. 15.259-15.262, 2000.
  6. [BENT-00b] L. Bentabet, Y. M. Zhu, O. Dupuis, V. Kaftandjian, D. Babot, and M. Rombaut, "Use of fuzzy clustering for determining mass functions in Dempster-Shafer theory", 16th IFIP World Computer Congress & Fifth International Conference on Signal Processing, Beijing, P.R. China, pp. 1462-1470, 2000.
1999
  1. [DUPU-99a] O. Dupuis, V. Kaftandjian, D. Babot, and Y. M. Zhu, "Automatic detection and characterisation of weld defects : determination of confidence levels for data fusion of radioscopic and ultrasonic images", Brit Inst NDT, vol. 41, no. 3, pp. 170-172, 1999.
  2. [BENT-99] L. Bentabet, Y. M. Zhu, J. Grimaud, A. Boudraa, M. Hermier, G. Gimenez, J. C. Froment, and C. Confavreux, "The combined use of FCM and evidence theory for segmentation of MS lesions in MRI", 15th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS'99), vol. 5, Basel, Switzerland, pp. 56, 1999.
  3. [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.
  4. [ZHU-99c] Y. M. Zhu, "Data fusion in medical imaging", Biomedical Department, Zhejian University, Hanzhou, P.R. China, 1999.
  5. [ZHU-99e] Y. M. Zhu, "Data fusion in medical imaging", Electrical Department, Yuannan University, Yuannan, P.R. China, 1999.
  6. [DUPU-99b] O. Dupuis, V. Kaftandjian, Y. M. Zhu, and D. Babot, "Détection de défauts par fusion de signaux ultrasonores et d'images radiographiques", 17e Colloque GRETSI, Vanne, France, pp. 1045-1048, 1999.
  7. [ZHU-99d] Y. M. Zhu, "Medical image processing", Service of Radiology, NingBo Hospital of Children and Women, NingBo, P.R. China, 1999.
  8. [PACH-99] C. Pachai, Y. M. Zhu, C. Guttmann, J. Grimaud, M. Hermier, G. Gimenez, J. C. Froment, and C. Confavreux, "Segmentation 3D, non supervisée et adaptative des tissus cérébraux en IRM multispectrale : application à la détection des lésions de SEP", Conférences F. Lhermitte-9e Rendez-Vous de l'ARSEP, Paris, France, pp. 47, 1999.
  9. [ZHU-99a] Y. M. Zhu, J. Grimaud, F. Reynaud, C. Pachai, M. Hermier, G. Gimenez, J. C. Froment, and C. Confavreux, "Segmentation of brain magnetic resonance images using the multiscale contour approach", 15th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS'99), vol. 5, Basel, Switzerland, pp. 56, 1999.
1998
  1. [DROM-98b] A. Dromigny-Badin, Y. M. Zhu, C. Pachai, Y. G. Bao, J. Grimaud, M. Hermier, A. Boudraa, G. Gimenez, J. C. Froment, and C. Confavreux, "Développement d'un logiciel de détection et de quantification automatiques des lésions cérébrales de sclérose en plaques en IRM", Xème Réunion Annuelle de la Société Franco-Romande de Neurologie, Lyon, France, 1998.
  2. [DROM-98] A. Dromigny, Y. M. Zhu, I. E. Magnin, and D. Revel, "Fusion of Cine-MR and contrast-enhanced first-pass MR data in patients with coronary artery disease : a feasability study", Invest Radiol, vol. 33, no. 1, pp. 12-21, 1998.
  3. [DROM-98c] A. Dromigny-Badin, Y. M. Zhu, G. Gimenez, and R. Goutte, "Image segmentation through using the evidence theory based data fusion technique", IEEE CIE International Conference on Signal Processing, Beijing, P.R. China, pp. 994–997, 1998.
  4. [PACH-98b] C. Pachai, Y. M. Zhu, C. Guttmann, J. Grimaud, M. Hermier, G. Gimenez, J. C. Froment, and C. Confavreux, "MS-TRACKER : validation à grande échelle d'un algorithme de détection automatique de la cavité intra-crânienne en IRM conventionnelle", V Conférences F.-Lhermitte, 8e Rendez-Vous de l'ARSEP, Paris, France, pp. 23–24, 1998.
  5. [PACH-98a] C. Pachai, Y. M. Zhu, J. Grimaud, M. Hermier, A. Dromigny-Badin, A. Boudraa, G. Gimenez, C. Confavreux, and J. C. Froment, "A pyramidal approach for automatic segmentation of multiple sclerosis lesions in brain MRI", Comput Med Imag Grap, vol. 22, pp. 399-408, 1998.
  6. [BOUD-98a] A. Boudraa, Y. M. Zhu, S. M. R. Dehak, J. Grimaud, C. Pachai, A. Dromigny-Badin, M. Hermier, Y. G. Bao, G. Gimenez, J. C. Froment, et al., "Segmentation automatique des lésions de sclérose en plaques en IRM par la logique floue", Journées de Neurologie de Langue Française, Paris, France, pp. 1S45-44, 1998.
  7. [DROM-98a] A. Dromigny-Badin, Y. M. Zhu, J. Grimaud, C. Pachai, A. Boudraa, M. Hermier, G. Gimenez, J. C. Froment, and C. Confavreux, "Use of data fusion technique for the automated segmentation of multiple sclerosis lesions in magnetic resonance images", Eighth Meeting of the European Neurological Society, Nice, France, pp. 446, 1998.
  8. [DUPO-98] F. Dupont, Y. M. Zhu, J. Grimaud, C. Odet, C. Confavreux, and J. C. Froment, "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, no. 3, pp. 229-236, 1998.
1997
  1. [PACH-97a] C. Pachai, Y. M. Zhu, J. Grimaud, M. Hermier, A. Dromigny-Badin, T. Siberil, G. Gimenez, J. C. Froment, and C. Confavreux, "Automatic segmentation of multiple sclerosis lesions in 2D MRI data", 13th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS,97), vol. 3, no. 5, Istanbul, Turkey, pp. 338, 1997.
  2. [PACH-97c] C. Pachai, Y. M. Zhu, J. Grimaud, M. Hermier, A. Dromigny-Badin, T. Siberil, G. Gimenez, J. C. Froment, and C. Confavreux, "Automatic segmentation of multiple sclerosis lesions in 2D MRI data", M S Journal, vol. 3, no. 5, pp. 336, 1997.
  3. [DUPO-97c] F. Dupont, C. Odet, and Y. M. Zhu, "Control of flat steel products by texture segmentation in the Wigner-Ville domain", Quality control by Artificial Vision (QCAV'97), Clermont-Ferrand, France, pp. 225–230, 1997.
  4. [DROM-97b] A. Dromigny-Badin, and Y. M. Zhu, "Fusion de données complémentaires en vue de l'amélioration de la dynamique des systèmes d'imagerie", GRETSI'97, Grenoble, France, pp. 1415–1418, 1997.
  5. [DROM-97a] A. Dromigny-Badin, S. Rossato, and Y. M. Zhu, "Fusion de données radioscopiques et ultrasonores via la théorie de l'évidence", Traitement du Signal, vol. 14, no. 5, pp. 499-510, 1997.
  6. [DROM-97] A. Dromigny, and Y. M. Zhu, "Improving the dynamic range of Real-time X-Ray imaging systems via bayesian fusion", J Nondestr Eval, vol. 16, no. 2, pp. 147–168, 1997.
  7. [PACH-97b] C. Pachai, Y. M. Zhu, J. Grimaud, M. Hermier, A. Dromigny-Badin, A. Boudraa, G. Gimenez, J. C. Froment, and C. Confavreux, "MS-TRACKER : un logiciel d'analyse et de quantification automatiques des lésions de sclérose en plaques en IRM conventionelle", Les 7èmes Rendez-Vous de l'ARSEP, Paris, France, pp. 15–16, 1997.
  8. [PACH-97d] C. Pachai, Y. M. Zhu, J. Grimaud, M. Hermier, A. Dromigny-Badin, T. Siberil, G. Gimenez, C. Confavreux, and J. C. Froment, "A multiresolution approach for automatic segmentation of multiple sclerosis lesions in conventional 2D MRI data", World Congress on Medical Physics and Biomedical Engineering, Nice, France, pp. 724, 1997.
  9. [DROM-97d] A. Dromigny-Badin, Y. M. Zhu, C. Pachai, M. Hermier, J. Grimaud, G. Gimenez, J. C. Froment, and C. Confavreux, "Segmentation of MS Lesions using evidence theory, Multiple Sclerosis", 13th Congress of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS,97), vol. 13, no. 5, Istanbul, Turkey, pp. 336, 1997.
  10. [DROM-97c] A. Dromigny-Badin, Y. M. Zhu, C. Pachai, M. Hermier, J. Grimaud, G. Gimenez, J. C. Froment, and C. Confavreux, "Segmentation of Multiple sclerosis lesions through fusion of multispectral magnetic resonance brain images", World Congress on Medical Physics and Biomedical Engineering, Nice, France, pp. 722, 1997.
1996
  1. [MAGN-96a] I. E. Magnin, G. Rochard, Y. M. Zhu, G. Gimenez, C. Confavreux, and J. C. Froment, "Détection automatique des lésions encéphaliques de sclérose en plaques en IRM par approche pyramidale", Les Rendez-vous de l'ARSEP, Paris, France, 20 Février, 1996.
  2. [DROM-96] A. Dromigny-Badin, and Y. M. Zhu, "Amélioration de la dynamique des systèmes d'imagerie à rayons X par fusion bayésienne", Journées Thématiques du GdR ISIS en Fusion d'Informations, Paris, France, pp. 40–44, 1996.
  3. [ROSS-96] S. Rossato, A. Dromigny-Badin, Y. M. Zhu, V. Kaftandjian, C. Odet, P. Guy, Y. Jayet, G. Peix, and G. Gimenez, "Amélioration de la fiabilité du contrôle non destructif par fusion de données radioscopiques et ultrasonores", Journées Thématiques du GdR ISIS en Fusion d'Informations, Paris, France, pp. 54–58, 1996.
  4. [KAFT-96d] V. Kaftandjian, Y. M. Zhu, G. Peix, and D. Babot, "Automatic recognition of defects inside aluminium lingots by X-Ray imaging", Brit Inst NDT, vol. 38, no. 9, pp. 618-625, 1996.
  5. [KAFT-96b] V. Kaftandjian, Y. M. Zhu, G. Rozière, G. Peix, and D. Babot, "A comparison of the ball, wire, edge and bar/space pattern techniques for modulation transfer function measurements of linear X-ray detectors", J X Ray Sc Technol, vol. 6, pp. 205-221, 1996.
  6. [KAFT-96a] V. Kaftandjian, Y. M. Zhu, G. Peix, and D. Babot, "Contrast transfer function measurement of X-ray solid-state linear detectors using bar/space pattern methods", Non-Destruct Test Eval, vol. 29, no. 1, pp. 3-11, 1996.
  7. [KARO-96] B. Karoubi, Y. M. Zhu, G. Gimenez, and J. Bigun, "Detection of objects in RF ultrasonic images using 2-D spatial phase techniques", IEEE international Conference on Image Processing, vol. 1, Lausanne, Suisse, pp. 641–644, 1996.
  8. [PACH-96] C. Pachai, Y. M. Zhu, G. Gimenez, J. C. Froment, M. Hermier, C. Confavreux, and J. Grimaud, "Segmentation et quantification automatiques des lésions de sclérose en plaques en IRM", Les 6èmes Rendez-Vous de l'ARSEP, 10 décembre 1996, Paris, France, pp. 12, 1996.
  9. [DUPO-96] F. Dupont, Y. M. Zhu, C. Odet, and R. Goutte, "Texture classification in the Wigner-Ville domain", 3th International Conference on Signal Processing ICSP'96, Beijing, P.R. China, pp. 327–330, 1996.
1995
  1. [ZHU-95a] Y. M. Zhu, and R. Goutte, "Analysis and comparison of space/spatial-frequency and multiscale methods for texture segmentation", Optical Engineering, vol. 34, no. 1, pp. 269-282, 1995.
  2. [ZHU-95c] Y. M. Zhu, and R. Goutte, "A comparison of bilinear space/spatial-frequency representations for texture discrimination", Pattern Recogn Lett, vol. 16, pp. 1057-1068, 1995.
  3. [ZHU-95b] Y. M. Zhu, V. Kaftandjian, G. Peix, and D. Babot, "Modulation transfer function evaluation of linear solid state X-ray sensitive detectors using edge techniques", Appl Opt, vol. 34, no. 22, pp. 4937-4943, 1995.
1994
  1. [ZHU-94] Y. M. Zhu, B. Karoubi, and G. Gimenez, "Concept de phase spatiale : intérêt pour l'analyse de l'image", AGI'94 Colloque Automatique, Génie informatique, Image, Poitiers, France, pp. 353–356, 1994.
1993
  1. [ZHU-93a] Y. M. Zhu, R. Goutte, and M. Amiel, "On the use of two-dimensional Wigner-Ville distribution for texture segmentation", Signal Proces, vol. 30, no. 3, pp. 329–353, 1993.
  2. [ZHU-93b] Y. M. Zhu, Y. Gao, and R. Goutte, "Texture feature discrimination based on detecting phase differences", IEEE International Conference on Signal Processing, Beijing, P.R. China, pp. 818-821, 1993.
1992
  1. [ZHU-92a] Y. M. Zhu, F. Peyrin, R. Goutte, and M. Amiel, "Analyse spectrale locale de l'image par transformation de Wigner-Ville", Traitement du Signal, vol. 9, no. 3, pp. 281-289, 1992.
  2. [ZHU-92e] Y. M. Zhu, Y. Gao, M. Amiel, and R. Goutte, "Analysis of chest CT images using Wigner distribution, October", Conf Proc IEEE Eng Med Biol Soc, Paris, France, pp. 1926–1927, 1992.
  3. [ZHU-92f] Y. M. Zhu, Y. Gao, and R. Goutte, "An investigation of the Wigner model for texture discrimination", IEEE-SP Int. Symp. on time-frequency and time-scale analysis, Victoria, British Columbia, Canada, pp. 539–542, 1992.
  4. [ZHU-92c] Y. M. Zhu, Y. Gao, R. Goutte, and M. Amiel, "Textural boundary detection using local spatial frequency analysis", 11th IAPR Int. Conf. on Pattern Recognition, The Hague, The Netherlands, pp. 53–56, 1992.
  5. [ZHU-92d] Y. M. Zhu, Y. Gao, and R. Goutte, "Texture features extraction using bilinear space/spatial-frequency representations", 3rd Int. Conf. on Visual Research, Nottingham, UK, pp. 1–6, 1992.
  6. [ZHU-92b] Y. M. Zhu, R. Goutte, and M. Amiel, "Texture segmentation using 2-D Wigner analysis : An evaluation and comparison", EUSIPCO-92, Signal Processing VI : Theory and Applications, Brussels, Belgium, pp. 583–586, 1992.
1991
  1. [HANS-91] D. Hans, C. Berger-Vachon, F. Peyrin, Y. M. Zhu, and I. Kauffmann, "Application de la transformation de Wigner Ville pour la caractérisation des insuffisances vélaires", Colloque Traitement et représentation du signal et de la parole, Le Mans, France, pp. 1–4, 3-4 juin, 1991.
  2. [ZHU-91c] Y. M. Zhu, Y. Gao, and R. Goutte, "Stereo image compression by the combined use of the DCT and binocular fusion and rivalry", 1st Int. Symposium on 3-D images, Paris, France, pp. 204–211, 26-28 septembre, 1991.
  3. [BASK-91c] A. Baskurt, F. Peyrin, Y. M. Zhu, and R. Goutte, "Analyse d'images par utilisation de spectres locaux", GRETSI, Juan-les-Pins, France, pp. 1061–1064, 1991.
  4. [ZHU-91b] Y. M. Zhu, F. Peyrin, R. Goutte, and M. Amiel, "Caractérisation de textures par l'analyse spectrale locale", 13ème colloque GRETSI, Juan-les-Pins, France, pp. 989–992, 1991.
  5. [BASK-91b] A. Baskurt, F. Peyrin, Y. M. Zhu, and R. Goutte, "Local spectrum analysis of medical images", SPIE Int. Conf. on Medical Imaging V : Image processing, vol. 1445, San Jose, USA, pp. 485–495, 1991.
  6. [ZHU-91d] Y. M. Zhu, R. Goutte, and M. Amiel, "On the use of the Wigner distribution for 2-D spectral analysis of images", IEEE Workshop on multi-dimensional signal processing, Some City, Some Country, pp. 2–7, 1991.
  7. [PEYR-91c] F. Peyrin, and Y. M. Zhu, "Représentation de Wigner Ville des images : application à l'analyse de textures", Réunion du Groupe de travail Signaux non stationnaires, GdR 134 CNRS, Paris, France, 1991.
  8. [ZHU-91a] Y. M. Zhu, F. Peyrin, and R. Goutte, "Sur la transformation de pseudo-Wigner-Ville discrète en temps et en fréquence", Ann Télécom, vol. 46, no. 5 6, pp. 301–309, 1991.
210
  1. [SONG-10] X. Song, Y. M. Zhu, F. Yang, and J. H. Luo, "Quantitative Study of Fiber Tracking Results in Human Cardiac DTI", IEEE ICSP'10, Beijing, China, pp. 724-727, 10/2010, 210.