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Journal Article

  1. [Zhan-17]“A robust coherent point drift approach based on rotation invariant shape context”, Neurocomputing, vol. 219, pp. 455-473, 2017.
  2. [Zhan-16]“Automatic tracking of neural stem cells in sequential digital images”, vol. 36, pp. 66–75, 2016.
  3. [Song-15]Y. P. Song, Yang, J., Zhou, L., and Zhu, Y. M., “Electric Field Based Transfer Functions for Volume Visualization”, Journal of Medical and Biological Engineering, 2015.
  4. [Song-15]Y. P. Song, Yang, J., Qiao, Y., and Zhu, Y. M., “Volume visualization based on the intensity and SUSAN transfer function spaces”, Biomedical Signal Processing and Control, vol. 18, pp. 110-117, 2015.
  5. [SHI-09]F. Shi, Yang, J., and Zhu, Y. M., “Automatic segmentation of bladder in CT images”, Journal of Zhejiang University: Science A, vol. 10, pp. 239-246, 2009.
  6. [QIN-09]H. X. Qin, Yang, J., and Zhu, Y. M., “A Feature-Preserving Filtering Approach for Point Set Surface and Surface Attributes Based on Robust Statistics”, J Inf Sci Eng, vol. 25, pp. 1135-1146, 2009.
  7. [XIE-08a]K. Xie, Yang, J., and Zhu, Y. M., “Real-time visualization of large volume datasets on standard PC hardware”, Comput Meth Prog Bio, vol. 90, pp. 117–123, 2008.
  8. [XIE-08b]K. Xie, Yang, J., and Zhu, Y. M., “The 3D Cutting Algorithm Based on Surface Reconstruction”, Sciencepaper Online, vol. June, 2008.
  9. [QIN-08a]H. X. Qin, Yang, J., and Zhu, Y. M., “A Novel Meshless Method for Point Set Surface Processing”, Optical Engineering, vol. 47, 2008.
  10. [QIN-08b]H. X. Qin, Yang, J., and Zhu, Y. M., “Nonuniform Bilateral filtering for Point Sets and Surface Attributes”, The Visual Computer-International Journal of Computer Graphics, vol. 24, pp. 1067–1074, 2008.
  11. [XIE-07a]K. Xie, Yang, J., and Zhu, Y. M., “Fast collision detection based on nose augmentation virtual surgery”, Comput Meth Prog Bio, vol. 88, pp. 1–7, 2007.
  12. [XIE-07b]K. Xie, Yang, J., and Zhu, Y. M., “Real time volume rendering of large datasets on standard PC hardware”, Computer Applications, vol. 27, pp. 1129–1131, 2007.
  13. [XIE-07c]K. Xie, Yang, J., and Zhu, Y. M., “Interactive volume cutting of medical data”, Comput Biol Med, vol. 37, pp. 1155–1159, 2007.
  14. [LI-06b]X. L. Li, Yang, J., and Zhu, Y. M., “DRR generation by an adaptive Monte Carlo method”, Phys Med Biol, vol. 51, pp. 2745–2752, 2006.
  15. [LI-06a]X. L. Li, Yang, J., and Zhu, Y. M., “Combining Estimators for Monte Carlo Volume Rendering with Shading”, Visual Comput, vol. 22, pp. 468–477, 2006.
  16. [LI-06]X. L. Li, Yang, J., Xie, K., and Zhu, Y. M., “High Quality Rendering with Depth Cueing of Volumetric Data Using Monte Carlo Integration”, Comput Biol Med, vol. 36, pp. 1014–1025, 2006.
  17. [YU-06]Z. Q. Yu, Zhu, Y. M., Yang, J., and Zhu, Y. M., “Hybrid Region-Boundary Model for Cerebral Cortical Segmentation in MRI”, Comput Med Imag Grap, vol. 30, pp. 197–208, 2006.
  18. [XIE-05b]K. Xie, Yang, J., and Zhu, Y. M., “Real-time rendering of 3D medical data sets”, Future Generation Computer Systems, vol. 21, pp. 573-581, 2005.
  19. [XIE-05]K. Xie, Yang, J., Zhu, Y. M., and Li, X. L., “HVS-Based medical image compression”, Eur J Radiol, vol. 55, pp. 139-145, 2005.
  20. [XIE-05c]K. Xie, Yang, J., and Zhu, Y. M., “Semi-automated brain tumor and edema segmentation using MRI”, Eur J Radiol, vol. 56, pp. 12-19, 2005.
    http://linkinghub.elsevier.com/retrieve/pii/S0720048X05001518

Conference Paper

  1. [XIE-06]K. Xie, Yang, J., and Zhu, Y. M., “Real-time and Precise Collision Detection based on Surgery Simulation”, in MIAR 2006, SHANGHAI, China, 2006, pp. 164-170.
  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.