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Yong Xia

Yong Xia

PhD
Dr

Postdoc Research Fellow

SIT Building J12, Room 3E-343
(Cnr Cleveland St and City Rd)
P: +61 2 9036 9753
F: +61 2 9351 3838
E: yong dot xia AT sydney DOT edu DOT au
URL http://sydney.edu.au/engineering/it/~yxia/

Research interests

Medical Image Analysis; Image Interpretation and Understanding; Computer Vision; Multimedia Information Processing; Pattern Recognition; Machine Learning

Selected publications

The following list is a selection from recent publications.

  • Z Ji Y Xia, Q Sun, Q Chen, D Xia, D Feng, "Fuzzy Local Gaussian Mixture Model for brain MR image segmentation," IEEE Transactions on Information Technology in BioMedicine, (Accepted on 16 Jan. 2012).
  • Z Ji, Q Sun, Y Xia, Q Chen, D Xia, D Feng, "Generalized rough fuzzy c-means algorithm for brain MR image segmentation," Computer Methods and Programs in Biomedicine, (Accepted on 23 Oct. 2011).
  • C Li, X Wang, Y Xia, S Eberl, Y Yin, D Feng, "Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas,"Computer Methods and Programs in Biomedicine, (Accepted on 12 Jul. 2011).
  • Z Ji, Y Xia, Q Chen, Q Sun, D Xia, and D Feng, "Fuzzy C-Means Clustering with Weighted Image Patch for Image Segmentation," Applied Soft Computing, 12(6), pp. 1659–67, Jun. 2012.
  • Y Zhang, Z Guo, Y Xia, Z Lin, D Feng, "2D Representation of Facial Surfaces for Multi-Pose 3D Face Recognition," Pattern Recognition Letters, 33(5), pp. 530-536, Apr. 2012.
  • Y Xia, S Eberl, L Wen, M Fulham, and D Feng, "Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information," Computerized Medical Imaging and Graphics, 36(1), pp. 47-53, Jan. 2012.
  • G Tian, Y Xia, Y Zhang, and D Feng, "Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation," IEEE Transactions on Information Technology in BioMedicine, 15(3), pp. 373-380, May 2011.
  • X Wang, C Fang, Y Xia, and D Feng, "Airway segmentation for low-contrast CT images from combined PET/CT scanners based on airway modelling and seed prediction," Biomedical Signal Processing and Control, 6(1), pp. 48-56, Jan. 2011.
  • Y Xia, D Feng, R Zhao, and Y Zhang, "Multifractal signature estimation for textured image segmentation," Pattern Recognition Letters, 31(2), pp. 163-169, Jan. 2010.
  • Y Xia, D Feng, T Wang, R Zhao, and Y Zhang, "Image segmentation by clustering of spatial patterns," Pattern Recognition Letters, 28(12), pp. 1548-55, Sep. 2007.
  • Y Xia, D Feng, and R Zhao, "Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model," IEEE Transactions on Image Processing, 15(11), pp. 3559-66, Nov. 2006.
  • Y Xia, D Feng, and R Zhao, "Morphology-based multifractal estimation for texture segmentation," IEEE Transactions on Image Processing, 15(3), pp. 614-623, Mar. 2006.
  • Y Xia, D Feng, R Zhao, and M Petrou, "Learning-based algorithm selection for image segmentation," Pattern Recognition Letters, 26(8), pp. 1059-68, Jun. 2005.

Teaching Interests

Digital Image Processing and Interpretation; Pattern Classification and Recognition; Biomedical Data Analysis; Bio- and Nature-inspired Computing; Soft Computing; Artificial Neural Network; Scientific Programming with Matlab