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Journal Article

  1. [Kong-17]“Cardiac Fiber Tracking Using Adaptive Sampling Based on Diffusion Fractional Anisotropy”, Journal of Medical Imaging and Health Informatics, vol. 7, pp. 1561-1565, 2017.
  2. [Kuai-17]“Effect of multiple perfusion components on pseudo-diffusion coefficient in intravoxel incoherent motion imaging.”, Phys Med Biol, vol. 62, pp. 8197-8209, 2017.
  3. [Huan-16]“Cardiac Diffusion Tensor Imaging Based on Compressed Sensing Using Joint Sparsity and Low-Rank Approximation”, Technology and Health Care, vol. 24, pp. 593–599, 2016.
  4. [Kong-16b]“Cardiac fiber tracking using adaptive particle filtering based on tensor rotation invariant in MRI”, Physics in Medicine & Biology, vol. 61(5), pp. 1888-1903, 2016.
  5. [Sun-16]“Assessment of the characteristics of orientation distribution functions in hardi using morphological metrics”, PLOS ONE, 2016.
  6. [Chu-15]C. Y. Chu, Huang, J. P., SUN, C. Y., Liu, W. Y., and Zhu, Y. M., “Resolving Intravoxel Fiber Architecture Using Nonconvex Regularized Blind Compressed Sensing”, Physics in Medicine and Biology, vol. 60, pp. 2339–2354, 2015.
  7. [LI-15f]S. Li, Montcel, B., Liu, W. Y., Yuan, Z., and Vray, D., “Multigrid-based reconstruction algorithm for quantitative photoacoustic tomography”, Biomedical Optics Express, vol. 6, pp. 2424-2434, 2015.
    https://www.osapublishing.org/boe/viewmedia.cfm?uri=boe-6-7-2424&seq=0
  8. [LI-14f]S. Li, Montcel, B., Liu, W. Y., and Vray, D., “Analytical model of optical fluence inside multiple cylindrical inhomogeneities embedded in an otherwise homogeneous turbid medium for quantitative photoacoustic imaging”, Optics Express, vol. 22, 2014.PDF icon oe-22-17-20500.pdf (2.1 MB)
  9. [MA-13]J. Ma, Liu, W. Y., and Glatard, T., “A classification of file placement and replication methods on grids”, Future Generation Computer Systems, vol. 29, pp. 1395–1406, 2013.PDF icon fgcs-2011.pdf (599.24 KB)
  10. [BAO-13]L. Bao, Robini, M., Liu, W. Y., and Zhu, Y. M., “Structure-adaptive sparse denoising for diffusion-tensor MRI”, Medical Image Analysis, vol. 17, pp. 442-457, 2013.
  11. [ZHANG-13]Y. L. Zhang, Liu, W. Y., Magnin, I. E., and Zhu, Y. M., “Feature-Preserving Smoothing of Diffusion Weighted Images Using Nonstationarity Adaptive Filtering”, IEEE Trans. on Biomedical Engineering, vol. 60, pp. 1693-1701, 2013.
  12. [WANG-12]L. H. Wang, Zhu, Y. M., Li, H. Y., Liu, W. Y., and Magnin, I. E., “Multi-Scale Modeling and Simulation of the Cardiac Fiber Architecture for DMRI”, IEEE Trans. Biomedical Engineering, vol. 59, pp. 16-19, 2012.
  13. [BAO-09]L. J. Bao, Zhu, Y. M., Liu, W. Y., Croisille, P., Pu, Z. B., Robini, M., and Magnin, I. E., “Denoising of human cardiac diffusion tensor magnetic resonance images using sparse representation combined with segmentation”, Phys Med Biol, vol. 54, pp. 1435–1456, 2009.
  14. [LIU-08]W. Y. Liu, Tang, Z. J., Zhu, Y. M., Hu, S., Zhang, Y. L., Wang, L. H., and Magnin, I. E., “Novel data enhancement technology for ultrasonic stereovision”, Optics and Precision Engineering, vol. 16, pp. 1759–1766, 2008.
  15. [LIU-95a]W. Y. Liu, Magnin, I. E., and Gimenez, G., “Un nouvel opérateur pour la détection de rupture dans des signaux bruités”, Traitement du Signal, vol. 12, pp. 226-236, 1995.

Conference Paper

  1. [ZHAN-17]“Enhancing human cardiac diffusion-weighted MR images using improved non-stationarity adaptive filtering”, Lyon, 2017.
  2. [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.
  3. [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.
  4. [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.
  5. [LI-14b]S. Li, Montcel, B., Liu, W. Y., and Vray, D., “Quantitative photoacoustic tomography (QPAT) of blodd vessels by use of radiative transfer equation (RTE)”, in OptDiag 2014, 2014.
  6. [WANG-14a]L. Wang, Liu, Z., Clarysse, P., Croisille, P., P. R. Girard, Liu, W. Y., and Delachartre, P., “Myocardial Motion Estimation Using Optical Flow with Multiple Constraint Equations”, in IEEE International Conference on Signal Processing (ICSP14), HangZhou, 2014, pp. 1066-1071.PDF icon Liang-14_IEEE-ICSP_0211.pdf (1.04 MB)
  7. [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.
  8. [LI-14a]S. Li, Montcel, B., Liu, W. Y., and Vray, D., “An analytic-based photoacoustic (PA) signal simulation for multiple cylindrical inhomogeneities embedded in an homogenous media”, in Biomedical Optics 2014, 2014.
    http://www.opticsinfobase.org/abstract.cfm?URI=BIOMED-2014-BS3A.60
  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. [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.
  11. [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)
  12. [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.
  13. [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.
  14. [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.
  15. [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.
  16. [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.
  17. [WANG-97b]H. Wang, Zhuang, T., Jiang, D., Bacelar, A., Liu, W. Y., Magnin, I. E., and Gimenez, G., “A novel algorithm to automatic contour detection in image sequences”, in Int Conf SPIE Visual Communication and Image Processing, Some City, USA, 1997, vol. 3024, pp. 237–245.
  18. [WANG-97a]H. Wang, Zhuang, T., Jiang, D., Liu, W. Y., Bacelar, A., Magnin, I. E., and Gimenez, G., “Fuzzy object detection in 3D medical images”, in Int Conf SPIE Visual Communication and Image Processing, Some City, USA, 1997, vol. 3026, pp. 155–163.
  19. [WANG-96]H. Wang, Zhuang, T., Jiang, D., Liu, W. Y., Magnin, I. E., and Gimenez, G., “Improved adaptive boundary tracing using 2D dynamic programming”, in Int. Conf. SPIE Visual Communication and Image Processing, Some City, USA, 1996, vol. 2727, pp. 199–208.
  20. [LIU-95b]W. Y. Liu, Orkisz, M., Magnin, I. E., and Brion, R., “Spatial Discontinuity Detection and Temporal Smoothing for Heart-Wall Motion Estimation from TM-mode Echocardiographic Images”, in Computers in Cardiology, Vienna, Austria, 1995, pp. 561–564.
  21. [LIU-93b]W. Y. Liu, Dautraix-Ricard, I., Magnin, I. E., and Gimenez, G., “A statistic based preprocessing technique for ultrasonic stereoechography”, in Int. Conf. on Signal Processing'93, Beijing, P.R. China, 1993, vol. 2, pp. 916–919.
  22. [LIU-93a]W. Y. Liu, Magnin, I. E., and Gimenez, G., “A new approach for the segmentation of stochastic processes”, in Int. Conf. on Signal Processing'93, Beijing, P.R. China, 1993, vol. 1, pp. 584–587.
  23. [LIU-92]W. Y. Liu, Magnin, I. E., and Gimenez, G., “A statistic based approach for segmentation”, in Conf Proc IEEE Eng Med Biol Soc, Paris, France, 1992, vol. 5, pp. 1924–1925.

Thesis

  1. [LIU-94]W. Y. Liu, “Détection de rupture par mesure de non stationnarité locale : Application à la segmentation de signaux multidimensionnels”, INSA Lyon, 1994.
    Debrier R. (rap.), Dubus J.P. (prés.), Gimenez G., Goutte R., Lamure M. (rap.) et Magnin I.E. (dir.)

Miscellaneous

  1. [LIU-95c]W. Y. Liu, Orkisz, M., and Magnin, I. E., “Motion Estimation from M-mode Echocardiographic Images”. 1995.