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Journal Article

  1. [Luo-17]“Fast single image super-resolution using estimated low-frequency k-space data in MRI.”, Magn Reson Imaging, vol. 40, pp. 1-11, 2017.
  2. [Sun-16]“Assessment of the characteristics of orientation distribution functions in hardi using morphological metrics”, PLOS ONE, 2016.
  3. [WEI-15]H. Wei, Viallon, M., Delattre, B., Moulin, K., Yang, F., Croisille, P., and Zhu, Y. M., “Free-Breathing Diffusion Tensor Imaging and Tractography of the Human Heart in Healthy Volunteers Using Wavelet-Based Image Fusion.”, IEEE Trans Med Imaging, vol. 34, pp. 306-316, 2015.
  4. [YANG-14]F. Yang, Zhu, Y. M., Luo, J. H., Robini, M., Liu, J., and Croisille, P., “A comparative study of different level interpolations for improving spatial resolution in diffusion tensor imaging”, IEEE Journal on Biomedical and Health Informatics, vol. 18, pp. 1317-1327, 2014.
  5. [YANG-12]F. Yang, Zhu, Y. M., Magnin, I. E., Luo, J. H., Croisille, P., and Kingsley, P. B., “Feature-Based Interpolation of Diffusion Tensor Fields and Application to Human Cardiac DT-MRI”, Medical Image Analysis, vol. 16, pp. 459-481, 2012.
  6. [YANG-11]F. Yang, Zhu, Y. M., Rappachi, S., Luo, J. H., Robini, M., and Croisille, P., “Interpolation of vector fields from human cardiac DT-MRI”, Physics in Medicine and Biology, vol. 56, pp. 1415-1430, 2011.

Conference Paper

  1. [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.
  2. [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.
  3. [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.
  4. [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.
  5. [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.
  6. [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.
  7. [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.
  8. [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.
  9. [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.
  10. [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.
  11. [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.

Thesis

  1. [YANG-11b]F. Yang, “Interpolation des données en imagerie cardiaque par résonance magnétique du tenseur de diffusion”, INSA, Lyon, 2011.