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Journal Article

  1. [LUO-04]J. H. Luo and Zhu, Y. M., “MR Image reconstruction from truncated k-space using a layer singular point extraction technique”, IEEE Trans Nucl Sci, vol. 51, pp. 157-169, 2004.
  2. [KAFT-03]V. Kaftandjian, Dupuis, O., Babot, D., and Zhu, Y. M., “Uncertainty modelling using Dempster-Shafer theory for improving detection of weld defects”, Pattern Recogn Lett, vol. 24, pp. 547-564, 2003.
  3. [GRIM-02b]J. Grimaud, Zhou, L. Q., and Zhu, Y. M., “Application de l'IRM par transfert d'aimantation à l'étude de la sclérose en plaques”, Rev Neurol, vol. 158, pp. 1157-1173, 2002.
  4. [GRIM-02a]J. Grimaud, Zhu, Y. M., and Rombaut, M., “Les techniques d'analyse quantitative des IRM cérébrales : application à la sclérose en plaques”, Rev Neurol, vol. 158, pp. 381–389, 2002.
  5. [ZHU-02a]Y. M. Zhu, Bentabet, L., Dupuis, O., Kaftandjian, V., Babot, D., and Rombaut, M., “Automatic determination of mass functions in Dempster-Shafer theory using fuzzy C-Means and spatial neighbourhood information for image segmentation”, Optical Engineering, vol. 41, pp. 760–770, 2002.
  6. [ROMB-02]M. Rombaut and Zhu, Y. M., “Study of Dempster-Shafer theory for image segmentation applications”, Image Vision Comput, vol. 20, pp. 15-23, 2002.
  7. [ZHOU-01]L. Q. Zhou, Zhu, Y. M., Bergot, C., Laval-Jeantet, A. M., Bousson, V., Laredo, J. D., and Laval-Jeantet, M., “A method of Radio-Frequency inhomogeneity correction for tissue classification in brain MRI”, Comput Med Imag Grap, vol. 25, pp. 379-389, 2001.
  8. [BOUD-00]A. Boudraa, Dehak, S. M. R., Zhu, Y. M., Pachai, C., Bao, Y. G., and Grimaud, J., “Automated segmentation of multiple sclerosis lesions in multispectral MRI using fuzzy clustering”, Comput Biol Med, vol. 30, pp. 23–40, 2000.
  9. [DUPU-99a]O. Dupuis, Kaftandjian, V., Babot, D., and Zhu, Y. M., “Automatic detection and characterisation of weld defects : determination of confidence levels for data fusion of radioscopic and ultrasonic images”, Brit Inst NDT, vol. 41, pp. 170-172, 1999.
  10. [PACH-98a]C. Pachai, Zhu, Y. M., Grimaud, J., Hermier, M., Dromigny-Badin, A., Boudraa, A., Gimenez, G., Confavreux, C., and Froment, J. C., “A pyramidal approach for automatic segmentation of multiple sclerosis lesions in brain MRI”, Comput Med Imag Grap, vol. 22, pp. 399-408, 1998.
  11. [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.
  12. [DROM-98]A. Dromigny, Zhu, Y. M., Magnin, I. E., and Revel, D., “Fusion of Cine-MR and contrast-enhanced first-pass MR data in patients with coronary artery disease : a feasability study”, Invest Radiol, vol. 33, pp. 12-21, 1998.
  13. [PACH-97c]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”, M S Journal, vol. 3, p. 336, 1997.
  14. [DROM-97a]A. Dromigny-Badin, Rossato, S., and Zhu, Y. M., “Fusion de données radioscopiques et ultrasonores via la théorie de l'évidence”, Traitement du Signal, vol. 14, pp. 499-510, 1997.
  15. [DROM-97]A. Dromigny and Zhu, Y. M., “Improving the dynamic range of Real-time X-Ray imaging systems via bayesian fusion”, J Nondestr Eval, vol. 16, pp. 147–168, 1997.
  16. [KAFT-96d]V. Kaftandjian, Zhu, Y. M., Peix, G., and Babot, D., “Automatic recognition of defects inside aluminium lingots by X-Ray imaging”, Brit Inst NDT, vol. 38, pp. 618-625, 1996.
  17. [KAFT-96b]V. Kaftandjian, Zhu, Y. M., Rozière, G., Peix, G., and Babot, D., “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.
  18. [KAFT-96a]V. Kaftandjian, Zhu, Y. M., Peix, G., and Babot, D., “Contrast transfer function measurement of X-ray solid-state linear detectors using bar/space pattern methods”, Non-Destruct Test Eval, vol. 29, pp. 3-11, 1996.
  19. [ZHU-95b]Y. M. Zhu, Kaftandjian, V., Peix, G., and Babot, D., “Modulation transfer function evaluation of linear solid state X-ray sensitive detectors using edge techniques”, Appl Opt, vol. 34, pp. 4937-4943, 1995.
  20. [ZHU-95a]Y. M. Zhu and Goutte, R., “Analysis and comparison of space/spatial-frequency and multiscale methods for texture segmentation”, Optical Engineering, vol. 34, pp. 269-282, 1995.
  21. [ZHU-95c]Y. M. Zhu and Goutte, R., “A comparison of bilinear space/spatial-frequency representations for texture discrimination”, Pattern Recogn Lett, vol. 16, pp. 1057-1068, 1995.
  22. [ZHU-93a]Y. M. Zhu, Goutte, R., and Amiel, M., “On the use of two-dimensional Wigner-Ville distribution for texture segmentation”, Signal Proces, vol. 30, pp. 329–353, 1993.
  23. [ZHU-92a]Y. M. Zhu, Peyrin, F., Goutte, R., and Amiel, M., “Analyse spectrale locale de l'image par transformation de Wigner-Ville”, Traitement du Signal, vol. 9, pp. 281-289, 1992.
  24. [ZHU-91a]Y. M. Zhu, Peyrin, F., and Goutte, R., “Sur la transformation de pseudo-Wigner-Ville discrète en temps et en fréquence”, Ann Télécom, vol. 46, pp. 301–309, 1991.
  25. [Zhu-90d]Y. M. Zhu, Peyrin, F., and Goutte, R., “The use of a two-dimensional Hilbert transform for Wigner analysis of 2-D real signals”, Signal Processing, vol. 19, pp. 205-220, 1990.
  26. [Zhu-90c]Y. M. Zhu, Peix, G., and Babot, D., “Detection of defects in wove composites by applying Wigner distribution to radioscopic images obtained with a linear solid-state array”, NDT International, vol. 33, pp. 75-82, 1990.
  27. [Zhu-90b]Y. M. Zhu, Peyrin, F., and Goutte, R., “Transformation de Wigner-Ville discrète simplifiée : versions périodiques et apériodiques”, Traitement du Signal, vol. 7, pp. 129-141, 1990.
  28. [zhu-90a]Y. M. Zhu, Babot, D., and Peix, G., “A quantitative comparison between linear x-ray sensitive array and image-intensifier systems”, NDT International, vol. 23, pp. 214-220, 1990.
  29. [Zhu-89a]Y. M. Zhu, Peyrin, F., and Goutte, R., “Equivalence between the two-dimensional real and analytic signal Wigner distributions”, IEEE Trans. on ASSP, vol. 37, pp. 1631-1634, 1989.
  30. [Zhu-87]Y. M. Zhu, Peyrin, F., and Goutte, R., “Transformation de Wigner-Ville: Description d'un nouvel outil de traitement du signal et des images”, Annales des Télécommunications, vol. 42, pp. 105-118, 1987.

Conference Paper

  1. [ZHAN-17]“Enhancing human cardiac diffusion-weighted MR images using improved non-stationarity adaptive filtering”, Lyon, 2017.
  2. [Robi-16b]“A stochastic framework for spot-scanning particle therapy”, in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016, pp. 2578-2581.
  3. [MIRE-16]“Statistical Analysis of Transmural Laminar Microarchitecture of the Human Left Ventricle”, in IEEE Int. Conf. Sign. Proc. ICSP, Chengdu, 2016, pp. 53-57.Microsoft Office document icon ICSP_IuliaMirea_2016_V9_finale.doc (1.35 MB)
  4. [Robi-16a]“Inexact half-quadratic optimization for image reconstruction”, in 2016 IEEE International Conference on Image Processing (ICIP), 2016, pp. 3513-3517.
  5. [MIRE-15]I. Mirea, Varray, F., Zhu, Y. M., Fanton, L., Langer, M., Jouk, P., Michalowicz, G., Usson, Y., and Magnin, I. E., “Very High-Resolution Imaging of Post-Mortem Human Cardiac Tissue using X-ray Phase Contrast Tomography”, in FIMH'15, Maastricht, 2015, pp. 172-179.
    http://link.springer.com/chapter/10.1007%2F978-3-319-20309-6_20
  6. [Huang-15]J. P. Huang, Wang, L. H., Chu, C. Y., Zhang, Y. L., Liu, W. Y., and Zhu, Y. M., “Compressed sensing MR image reconstruction using data-driven tight frame”, in GRETSI-15, Lyon, 2015, p. 4p.
  7. [Sun-15]C. Y. SUN, Chu, C. Y., Yang, F., Liu, W. Y., Magnin, I. E., and Zhu, Y. M., “Characteristic Assessment of Three-Dimensional Point Clouds in HARDI Using Morphological Metrics”, in GRETSI-15, Lyon, 2015, p. 4p.
  8. [Robi-14]M. Robini and Zhu, Y. M., “Nonconvex half-quadratic image reconstruction with wavelet-domain sparsity constraints”, in International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV), Las Vegas, USA, 2014, p. 1p.
  9. [Wang-14]L. H. Wang, Zhu, Y. M., Yang, F., Liu, W. Y., and Magnin, I. E., “Simulation of dynamic DTI of 3d cardiac fiber structures”, in IEEE ISBI, Beijing, China, 2014, pp. 714-717.
  10. [Wang-14]J. Wang, Wang, R., Zhang, S., Ding, J., and Zhu, Y. M., “Automatic segmentation of brain MR images for patients with different kinds of epilepsy”, in IEEE International Conference on Smart Computing (SMARTCOMP), Hong Kong, China, 2014, pp. 216-220.
  11. [Yang-14]F. Yang, Zhu, Y. M., Zuluaga, M. A., and Croisille, P., “Influence of post diffusion tensor image processing on fa measure of myocardial infarction in porcine model”, in ISMRM, Milan, Italy, 2014, p. 2575.
  12. [Li-14]H. Y. Li, Robini, M., and Zhu, Y. M., “Unfolding Cardiac Fibers by Dimensionality Reduction”, in IEEE EMBC, Chicago, USA, 2014, pp. 26-30.
  13. [Huang-14]J. P. Huang, Liu, W. Y., Wang, L. H., and Zhu, Y. M., “Combining total variation with nonlocal self-similarity constraint for compressed sensing MRI”, in IEEE ISBI, Beijing, China, 2014, pp. 1063-1066.
  14. [Luo-14]J. H. Luo, Li, W. Q., Jing, Z. L., and Zhu, Y. M., “Image Reconstruction from Limited-Angle Projections Using Sparsifying Operators”, in IEEE ICSP'14, Hangzhou, China, 2014, pp. 1123-1126.
  15. [Kong-14]F. H. Kong, Liu, W. Y., Magnin, I. E., and Zhu, Y. M., “Cardiac fiber tracking using particle filtering in MRI”, in IEEE International Conference on Information Science and Technology (ICIST), Shenzhen, China, 2014, pp. 329-33.
  16. [Ozon-14]M. Ozon, Robini, M., and Zhu, Y. M., “Global DT-MRI Tractography Using Elastic Graphs”, in IEEE EMBC, Chicago, USA, 2014, pp. 26-30.
  17. [Song-14]X. Song, Yang, F., Fanton, L., Croisille, P., and Zhu, Y. M., “Maximum energy tracking approach to reconstructing human cardiac fibers from DTI”, in IEEE ICSP'14, Hangzhou, China, 2014, pp. 1041-1045.
  18. [OZON-13]M. Ozon, Robini, M., Croisille, P., Frindel, C., and Zhu, Y. M., “Toward temporal fiber”, in Computing in Cardiology, Zaragoza (Spain), 2013, pp. 567-570.
  19. [WEI-13b]H. Wei, Viallon, M., Delattre, B., Xue, H., Jolly, M. - P., Guetter, C., Zhu, Y. M., Feiweier, T., Pay, V., Wen, H., and Croisille, P., “Quantitative analysis of cardiac motion effects on in vivo diffusion tensor parameters”, in ISMRM, Salt Lake City, USA, 2013.
  20. [VARR-13b]F. Varray, Wang, L. H., Fanton, L., Zhu, Y. M., and Magnin, I. E., “High Resolution Extraction of Local Human Cardiac Fibre Orientations”, in International Conference on Functional Imaging and Modeling of the Heart, London, England, 2013, pp. 150-157.
    http://link.springer.com/chapter/10.1007%2F978-3-642-38899-6_18
  21. [WEI-13a]H. Wei, Viallon, M., Delattre, B. M. A., Xue, H., Jolly, M. - P., Guetter, C., Zhu, Y. M., Feiweier, T., Pay, V., Wen, H., and Croisille, P., “Free breathing whole heart diffusion tensor imaging.”, in ISMRM, Salt Lake City, USA, 2013.
  22. [CAST-13]C. Casta, Wang, V. Y., Zhu, Y. M., Cowan, B. R., Croisille, P., Young, A. A., Nash, M. P., and Clarysse, P., “Estimation of In Vivo Myocardial Fibre Strain Using an Architectural Atlas of the Human Heart”, in Functional Imaging and Modeling of the Heart, 2013, vol. 7945, pp. 208-215.
    http://dx.doi.org/10.1007/978-3-642-38899-6_25
  23. [DESR-13]P. Desrosiers, Michalowicz, G., Jouk, P., Usson, Y., and Zhu, Y. M., “Modeling of the Optical Behavior of Myocardial Fibers in Polarized Light Imaging”, in Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2013, vol. 7746, pp. 235-244.
    http://dx.doi.org/10.1007/978-3-642-36961-2_27 http://link.springer.com/chapter/10.1007%2F978-3-642-36961-2_27
  24. [DELA-12b]B. Delattre, Viallon, M., Wei, H. - J., Zhu, Y. M., Pai, V. - M., Wen, H., and Croisille, P., “Intravoxel Incoherent Motion applied to Cardiac diffusion weighted MRI : toward free Breathing Acquisitions in Healthy Volunteers”, in ISMRM, Melbourne, Australia, 2012.
  25. [ROBI-12]M. Robini, Zhu, Y. M., and Luo, J. H., “A generic half-quadratic algorithm for signal reconstruction”, in 9th IMA Int. Conf. Mathematics in Signal Processing, Birmingham (UK), 2012, pp. 1-4.
  26. [YANG-12]F. Yang, Zhu, Y. M., Robini, M., and Croisille, P., “DT-MRI interpolation: at what level?”, in IEEE Int. Conf. Signal Processing, Beijing (China), 2012, pp. 737-740.
  27. [DELA-12]B. M. A. Delattre, Viallon, M., Wei, H. J., Zhu, Y. M., Pai, V. M., Wen, H., and Croisille, P., “Intravoxel Incoherent Motion applied to Cardiac diffusion weighted MRI using breath-hold acquisitions in healthy volunteers”, in Society for Cardiovascular Magnetic Resonance (SCMR) 2012, Orlando, Florida,USA, 2012.
  28. [STOI-12]R. Stoica, Pousin, J., Casta, C., Croisille, P., Zhu, Y. M., and Clarysse, P., “Integrating fiber orientation constraint into a spatio-temporal FEM model for heart borders and motion tracking in dynamic MRI”, in Statistical Atlases and Computational Models of the Heart: Imaging and Modelling Challenges, MICCAI STACOM workshop, Nice, France, 2012, Lecture Notes in Computer Science., vol. 7746, pp. 355-363.
  29. [WANG-12]V. Y. Wang, Casta, C., Croisille, P., Clarysse, P., Zhu, Y. M., Cowan, B. R., Young, A. A., and Nash, M. P., “Estimation of in vivo human myocardial fibre strain by integrating diffusion tensor and tagged MRI using FE modeling”, in IEEE International Symposium on Biomedical Imaging (ISBI), Barcelona, Spain, 2012, pp. 46-49.
  30. [LI-12]H. Y. Li, Robini, M., Yang, F., and Zhu, Y. M., “A neighborhood-based probabilistic approach for fiber tracking in human cardiac DTI”, in IEEE Int. Symp. Biomedical Imaging, Barcelona (Spain), 2012, pp. 9-13.
  31. [Wang-11]L. H. Wang, Zhu, Y. M., Li, H. Y., Liu, W. Y., and Magnin, I. E., “Simulation of Diffusion Anisotropy In DTI for Virtual Cardiac Fiber Structure”, in Functional Imaging and Modeling of the Heart (FIMH 2011), New York, 2011, pp. 95-104.PDF icon 66660095.pdf (561.83 KB)
  32. [SUN-11]C. Y. SUN, Qin, X. S., Wang, L. H., and Zhu, Y. M., “Recovering Missing Diffusion Signal Data for Reconstructing Fiber Orientations”, in International Congress on Image and Signal Processing (CISP) and International Conference on BioMedical Engineering and Informatics (BMEI), SHANGHAI, China, 2011, pp. 238-242.
  33. [ROBI-11c]M. Robini, Viverge, P. - J., Zhu, Y. M., and Luo, J. H., “Globally convergent edge-preserving reconstruction with contour-line smoothing”, in 7th Int. Conf. Pattern Recognition and Computer Vision, Amsterdam (Netherlands), 2011, pp. 885-890.
  34. [CASTA-11]C. Casta, Clarysse, P., Pousin, J., Schaerer, J., Croisille, P., and Zhu, Y. M., “Driving Dynamic Cardiac Model Adaptation with MR-Tagging Displacement Information”, in FIMH 2011, 2011, pp. 137-144.
  35. [CAST-11a]C. Casta, Clarysse, P., Pousin, J., Schaerer, J., Croisille, P., and Zhu, Y. M., “Motion constrained cardiac model retrieval from MR Imaging”, in RITS, Rennes, France, 2011.
  36. [WANG-11]Y. Wang, Courbebaisse, G., and Zhu, Y. M., “Segmentation of Giant Cerebral Aneurysm Using a Multilevel Object Detection Scheme Based on Lattice Boltzmann Method”, in IEEE International Conference on Signal Processing, Communications and Computing, XI'AN, 2011, vol. 3799.
  37. [CHU-11]C. Y. Chu, Liu, W. Y., Magnin, I. E., and Zhu, Y. M., “Adaptive diffusion basis Functions decomposition for estimating Intra-voxel myocardium fiber geometry”, in ICISP and ICBMEI, Shanghai, 2011, p. 10.
  38. [CAST-11b]C. Casta, Clarysse, P., Pousin, P., Schaerer, J., Croisille, P., and Zhu, Y. M., “Driving Dynamic Cardiac Model Adaptation with MR-Tagging Displacement Information”, in FIMH, New-York, USA, 2011, pp. 137-144.
  39. [SONG-10]X. Song, Zhu, Y. M., Yang, F., and Luo, J. H., “Analysis of Myocardial Fiber Structure Using DTI”, in FCC 2010, 2010, pp. 109-112.
  40. [YANG-10]F. Yang, Zhu, Y. M., Song, X., Luo, J. H., and Clarysse, P., “Interpolation of Human Cardiac DT-MRI Data Using Polar Coordinates”, in IEEE ICSP'10, Beijing,China, 2010.
  41. [ZHANG-10]Y. L. Zhang, Liu, W. Y., Magnin, I. E., and Zhu, Y. M., “Enhancement of Human Cardiac DT-MRI Data Using Locally Adaptive Filtering”, in IEEE ICSP'10, Beijing, China, 2010, pp. 744-747.
  42. [RUAN-10]S. Ruan, Zhang, N., Lebonvallet, S., Liao, Q. M., and Zhu, Y. M., “Fusion and Classification of Multi-Source Images by SVM with Selected Features in a Kernel Space”, in IEEE Workshops on Image Processing Theory, Tools and Applications, Paris, 2010, pp. 17-20.
  43. [CAST-10]C. Casta, Clarysse, P., Pousin, J., Schaerer, J., Croisille, P., and Zhu, Y. M., “Incorporating low-level constraints for the retrieval of personalised heart models from dynamic MRI”, in Statistical Atlases and Computational Models of the Heart: Mapping Structure and Function (STACOM), MICCAI 2010 Workshop, 2010, vol. LNCS 6364, pp. 174-183.
  44. [LUO-10]J. H. Luo, Wang, S. S., Xiao, M. Y., Zhang, L., and Zhu, Y. M., “Magnetic Resonance Image Denoising Using Spectral Data Substitution”, in CISP'10, 2010, pp. 738-742.
  45. [XIN-09]H. M. Xin and Zhu, Y. M., “New Registration Method for Two-dimensional Gel Electrophoresis Images”, in BMEI'09, TIANJIN,China, 2009, p. 4p.
  46. [ZHANG-09]N. Zhang, Liao, Q. M., Ruan, S., Lebonvallet, S., and Zhu, Y. M., “Multi-kernel SVM based classification for segmentation by fusion of MRI images”, in IST 2009, ShenZhen, China, 2009, p. 4p.
  47. [BAO-09]L. J. Bao, Liu, W. Y., Pu, Z. B., Fanton, L., S. Rapacchi,, Croisille, P., Zhu, Y. M., and Magnin, I. E., “An adaptive denoising method dedicated to human cardiac MR-DTI”, in CISP'09, TIANJIN,China, 2009, p. 4p.
  48. [ZHANG-09]N. Zhang, Ruan, S., Lebonvallet, S., Liao, Q. M., and Zhu, Y. M., “Multi-kernel SVM based classification for image segmentation of MRI multi-sequence”, in IEEE ICIP, Cairo, Egypt, 2009, pp. 3373-3376.
  49. [ZHANG-09]L. Zhang, Chen, J. M., Zhu, Y. M., and Luo, J. H., “Comparisons of several new de-noising methods for medical images”, in International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, 2009, p. 4p.
  50. [CHEN-09]J. M. Chen, Zhang, L., Zhu, Y. M., and Luo, J. H., “MRI Reconstruction From 2D Partial k-Space Using POCS Algorithm”, in International Conference on Bioinformatics and Biomedical Engineering, Beijing, China, 2009, p. 4p.
  51. [YANG-09]F. Yang, Zhu, Y. M., Song, X., Rappachi, S., Croisille, P., and Robini, M., “Interpolation avec réduction du bruit du champ de vecteurs 3D en IRM cardiaque du tenseur de diffusion”, in GRETSI, Dijon, France, 2009.
  52. [FRIN-09b]C. Frindel, Robini, M., Croisille, P., and Zhu, Y. M., “Cardiac Fibre Trace Clustering for the interpretation of the Human Heart Architecture”, in Proc. 4th Int. Conf. FIMH, Nice, France, 2009, pp. 39-48.
  53. [ZHANG-09]N. Zhang, Ruan, S., Lebonvallet, S., Liao, Q. M., and Zhu, Y. M., “SVM Based Follow-up System for Brain Tumor from Magnetic Resonance Images”, in IFAC Symposium on Modelling and Control in Biomedical Systems, Aalborg, Denmark, 2009.
  54. [ROBI-09]M. Robini, Viverge, P. - J., Zhu, Y. M., and Magnin, I. E., “Edge-preserving image reconstruction with wavelet-domain edge continuation”, in Proc. 6th Int. Conf. Image Analysis and Recognition, Halifax, Canada, 2009, pp. 13-22.
  55. [YANG-09]F. Yang, Song, X., Rappachi, S., Fanton, L., Croisille, P., and Zhu, Y. M., “Noise-Reduced TPS Interpolation of Primary Vector Fields for Fiber Tracking in Human Cardiac DT-MRI”, in FIMH, Nice,France, 2009.
  56. [RUAN-09]S. Ruan, Zhang, N., Lebonvallet, S., Liao, Q. M., and Zhu, Y. M., “Fusion et classification d'images multi-sources par SVM avec sélection des caractéristiques dans l'espace à noyau”, in GRETSI, Dijon,France, 2009, p. 4p.
  57. [YANK-09]J. Yankam Njiwa, Berkane, M., Luo, J. H., Clarysse, P., Magnin, I. E., and Zhu, Y. M., “Reconstruction of cardiac Cine MR Images using analytic image and neural networks”, in ISPA'09, Salzburg, Austria, 2009, p. in-press.
  58. [FRIN-09]C. Frindel, Robini, M., Schaerer, J., Croisille, P., and Zhu, Y. M., “Improved global cardiac tractography with simulated annealing”, in IEEE ICIP, Cairo, Egypt, 2009, pp. 813-816.
  59. [FRIN-08]C. Frindel, Gueth, P., Clarysse, P., Zhu, Y. M., and Robini, M., “A global approach to cardiac tractography”, in Biomedical Imaging: From Nano to Macro, 2008. ISBI 2008. 5th IEEE International Symposium on, 2008, pp. 883–886.
  60. [XIN-08]H. M. Xin, Zhu, Y. M., and Goutte, R., “Investigation of the role of spot pattern information in two-dimensional gel electrophoresis image registration”, in Signal Processing; ICSP'2008, Beigin par Beijing, R.P. China, 2008, pp. 72170–2173.
  61. [LUO-08]J. H. Luo, Zhang, L., Bai, Y. G., Ding, X. Y., and Zhu, Y. M., “Representation of Signals and Images by Complex Coefficient Weighted Singularity Functions”, in IEEE ICSP'08 , Beijing, China, 2008, pp. 1071-1074.
  62. [BAO-08]L. Bao, Liu, W. Y., Zhu, Y. M., Pu, Z., and Magnin, I. E., “Sparse representation based MRI denoising with total variation”, in ICSP, 2008, pp. 2154-2157.
  63. [FRIN-07]C. Frindel, Robini, M., Rapacchi, S., Stephant, E., Zhu, Y. M., and Croisille, P., “Towards in vivo diffusion tensor MRI on human heart using edge-preserving regularization”, in Proc. 29th Int. Conf. IEEE EMBS, Lyon, France, 2007, pp. 6007-6010.
  64. [LIU-07]W. Y. Liu, Zhang, Y. L., Liu, W. H., Hu, S., Zhu, Y. M., and Magnin, I. E., “A robust algorithm based on nonstationary degree for ultrasonic data enhancement”, in IEEE Int. Conf. on Systems, Man and Cybernetics, Montreal, Que., Canada, 2007, pp. 1061–1066.
  65. [RAPA-07]S. Rapacchi, Frindel, C., E. Stephant,, Fanton, L., Zhu, Y. M., and Croisille, P., “Vers un modèle statistique des fibres du myocarde chez l'homme en IRM de tenseur de diffusion”, in JRIM 2007, Dijon, France, 2007, p. 33.
  66. [XIN-07]H. M. Xin, Zhu, Y. M., and Wu, L. F., “A Comparative Study of Adaptive Registration Methods for Two Dimensional Gel Electrophoresis Images”, in IEEE Embc, Lyon, France, 2007, pp. 6239-6242.
  67. [GAO-07]W. Gao, Zhu, Y. M., Rapacchi, S., Stephan, E., Fanton, L., and Croisille, P., “Analyse spatio-directionnelle des images de tenseur de diffusion en IRM cardiaque par ondelettes”, in JRIM 2007, Dijon, France, 2007, p. 33.
  68. [LUO-07]J. H. Luo and Zhu, Y. M., “Magnetic Resonance Image Reconstruction Using Equation System Solving-Based Singularity Function Analysis”, in IEEE Embc, Lyon, France, 2007, pp. 751-754.
  69. [YANK-07a]J. Yankam Njiwa, Hiba, B., and Zhu, Y. M., “Cardiac Cine MR Reconstruction From Partial k-Space Using the Notion of Analytic Image”, in Conf Proc IEEE Eng Med Biol Soc, Lyon, France, 2007, vol. 2007, pp. 2057-2060.
  70. [BAO-07]L. Bao, Zhu, Y. M., Liu, W. Y., Robini, M., Pu, Z., and Magnin, I. E., “Analysis of cardiac diffusion tensor magnetic resonance images using sparse representation”, in Proc. 29th Int. Conf. IEEE EMBS, Lyon, France, 2007, pp. 4516-4519.

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