Dr Yong Xia

Research Fellow
Member of BMIT Research Group


Website Biomedical & Multimedia Information Technology Research Group

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Selected publications

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Book Chapters

  • Xia, Y., Zhao, R., Zhang, Y., Sun, J., Feng, D. (2006). Texture Segmentation by Fuzzy Clustering of Spatial Patterns. In Lipo Wang, Guangming Shi, Licheng Jiao, Xue Li, Jing Liu (Eds.), Fuzzy Systems and Knowledge Discovery, (pp. 894-897). Germany: Springer.

Journals

  • Guo, Z., Zhang, Y., Xia, Y., Lin, Z., Fu, Y., Feng, D. (2013). Multi-pose 3D face recognition based on 2D sparse representation. Journal of Visual Communication and Image Representation, 24(2), 117-126.
  • Zhang, Y., Guo, Z., Xia, Y., Lin, Z., Feng, D. (2012). 2D representation of facial surfaces for multi-pose 3D face recognition. Pattern Recognition Letters, 33(5), 530-536.
  • Li, C., Wang, X., Xia, Y., Eberl, S., Yin, Y., Feng, D. (2012). Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. Computer Methods and Programs in Biomedicine, 107(2), 164-174.
  • Zhang, T., Xia, Y., Feng, D. (2012). Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images. Lecture Notes in Computer Science (LNCS), 7202, 295-302.
  • Xia, Y., Eberl, S., Wen, L., Fulham, M., Feng, D. (2012). Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. Computerized Medical Imaging and Graphics, 36(1), 47-53.
  • Xia, Y., Eberl, S., Wen, L., Fulham, M., Feng, D. (2012). Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. Computerized Medical Imaging and Graphics, 36(1), 47-53.
  • Ji, Z., Xia, Y., Chen, Q., Sun, Q., Xia, D., Feng, D. (2012). Fuzzy c-means clustering with weighted image patch for image segmentation. Applied Soft Computing, 12(6), 1659-1667.
  • Ji, Z., Xia, Y., Sun, Q., Chen, Q., Xia, D., Feng, D. (2012). Fuzzy local Gaussian mixture model for brain MR image segmentation. IEEE Transactions on Information Technology in Biomedicine, 16(3), 339-347.
  • Xia, Y., Zhang, Z., Wen, L., Dong, P., Feng, D. (2012). GA and AdaBoost-based feature selection and combination for automated identification of dementia using FDG-PET imaging. Lecture Notes in Computer Science (LNCS), 7202, 128-135.
  • Wang, S., Xia, Y., Liu, Q., Luo, J., Zhu, Y., Feng, D. (2012). Gabor feature based nonlocal means filter for textured image denoising. Journal of Visual Communication and Image Representation, 23(7), 1008-1018.
  • Ji, Z., Sun, Q., Xia, Y., Chen, Q., Xia, D., Feng, D. (2012). Generalized rough fuzzy c-means algorithm for brain MR image segmentation. Computer Methods and Programs in Biomedicine, 108(2), 664-655.
  • Ji, Z., Xia, Y., Sun, Q., Xia, D., Feng, D. (2012). Local Gaussian distribution fitting based FCM algorithm for brain MR image segmentation. Lecture Notes in Computer Science (LNCS), 7202, 318-325.
  • Wang, X., Fang, C., Xia, Y., Feng, D. (2011). 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), 48-56.
  • Tian, G., Xia, Y., Zhang, Y., Feng, D. (2011). 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), 373-380.
  • Xia, Y., Feng, D., Zhao, R., Zhang, Y. (2010). Multifractal signature estimation for textured image segmentation. Pattern Recognition Letters, 31(2), 163-169.
  • Xia, Y., Feng, D., Wang, T., Zhao, R., Zhang, Y. (2007). Image segmentation by clustering of spatial patterns. Pattern Recognition Letters, 28(12), 1548-1555.
  • Xia, Y., Feng, D., Zhao, R. (2006). Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model. IEEE Transactions on Image Processing, 15(11), 3359-3566.
  • Xia, Y., Feng, D., Zhao, R. (2006). Morphology-based multifractal estimation for texture segmentation. IEEE Transactions on Image Processing, 15(3), 614-623.
  • Xia, Y., Rongchun, Z. (2006). Multiscale Segmentation of Remote Sensing Images by Using Local Morphological Multifractal Exponents. Journal of Computer Applications (Jisuanji Yingyong), 26(9), 2083-2085.
  • Xia, Y., Feng, D., Rongchun, Z., Petrou, M. (2005). Learning-based algorithm selection for image segmentation. Pattern Recognition Letters, 26(8), 1059-1068.
  • Xia, Y., Rongchun, Z., Zetao, J. (2004). Fractal Dimension Estimation based on Mathematical Morphological. Chinese Journal of Image and Graphics, 9(A) (6), 760-766.
  • Xia, Y., Rongchun, Z. (2002). A New Thresholding Algorithm Using Spacial Information. Chinese Journal of Stereology and Image Analysis (Zhongguo Tishixue yu Tuxiang Fenxi), 7(4), 235-239.

Conferences

  • Zhang, T., Xia, Y., Feng, D. (2012). A Deformable Cosegmentation Algorithm for Brain MR Images. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2012, Piscataway: (IEEE) Institute of Electrical and Electronics Engineers.
  • Zhang, T., Xia, Y., Feng, D. (2012). An Evolutionary HMRF Approach to Brain MR Image Segmentation Using Clonal Selection Algorithm. 8th IFAC Symposium on Biological and Medical Systems, Budapest: International Federation of Automatic Control (IFAC).
  • Dong, P., Xia, Y., Feng, D. (2012). Real-Time Storyboard Generation for H.264/AVC Compressed Videos. 2012 IEEE International Conference on Multimedia and Expo (ICME 2012), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Wang, J., Eberl, S., Fulham, M., Feng, D. (2011). Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011), Piscataway, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, J., Xia, Y., Feng, D. (2011). Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation. 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Los Alamitos, CA, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Dong, P., Xia, Y., Zhuo, L., Feng, D. (2011). Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. 18th IEEE International Conference on Image Processing (ICIP 2011), Piscataway, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, J., Xia, Y., Wang, J., Feng, D. (2011). Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images. 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Los Alamitos, CA, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Guo, Z., Zhang, Y., Xia, Y., Lin, Z., Feng, D. (2010). 3D Face Representation and Recognition by Intrinsic Shape Description Maps. IEEE International Conference on Acoustic, Speech, and Signal Processing ICASSP 2010, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D. (2010). A General Image Segmentation Model and Its Application. 5th International Conference on Image and Graphics (ICIG 2009), Los Alamitos, CA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, Z., Feng, D., Xia, Y. (2010). Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-Subject FDG-PET Images from Combined PET-CT Scanners. 2010 Digital Image Computing:Techniques and Applications (DICTA 2010), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Eberl, S., Feng, D. (2010). Dual-Modality 3D Brain PET-CT Image Segmentation Based on Probabilistic Brain Atlas and Classification Fusion. 2010 IEEE 17th International Conference on Image Processing (ICIP 2010), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Guo, Z., Zhang, Y., Xia, Y., Lin, Z., Feng, D. (2009). Invariant descriptor for multi-view 3D facial surface. 2nd International Conference on Broadband Network and Multimedia Technology (IC-BNMT 2009), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2009). Segmentation of brain PET-CT images based on adaptive use of complementary information. Medical Imaging 2009, United States: SPIE - International Society for Optical Engineering.
  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2008). Genetic Algorithm-Based PCA Eigenvector Selection and Weighting for automated identification of Dementia using FDG-PET Imaging. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 08), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2008). Segmentation of Brain Structures Using PET-CT Images. 5th International Conference on IT and Applications in Biomedicine (ITAB 2008), in conjunction with 2nd Int Symp and Summer School on Biomedical and Health Engineering (IS3BHE 2008), USA: IEEE Xplore.
  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2008). Segmentation of Dual Modality Brain PET/CT Images Using the MAP-MRF. 2008 IEEE 10th Workshop on Multimedia Signal Processing (MMSP 2008), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xie, J., Rongchun, Z., Xia, Y. (2007). Combined Terrain Aided Navigation based on Correlation Method and Parallel Kalman Filters. International Conference on Electronic Measurement and Instruments (ICEMI '07). (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Zhao, R., Feng, D., Zhang, Y., Sun, J. (2006). Texture Discrimination by Local Morphological Multifractal Signatures. TENCON 2006: 2006 IEEE Region 10 Conference, United States: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D., Zhao, R. (2005). Semi-Supervised Segmentation of Textured Images by Using Coupled MRF Model. Tencon 2005 - IEEE Region 10 Conference, United States: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D., Zhao, R. (2004). Multifractal Estimation For Remote Sensing Image Segmentation. ICSP''04, Piscataway/Beijing: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D., Rongchun, Z. (2004). Optimal Selection Of Image Segmentation Algorithms Based On Performance Prediction. Pan-Sydney Area Workshop on Visual Information Processing (VIP2003), Australia: Australian Computer Society.
  • Xia, Y., Feng, D., Rongchun, Z. (2004). Texture Segmentation Using Local Morphological Multifractal Exponents. International Symposium on Intelligent Multimedia, Video and Speech Processing: ISIMP 2004, Piscataway NJ: (IEEE) Institute of Electrical and Electronics Engineers.

2013

  • Guo, Z., Zhang, Y., Xia, Y., Lin, Z., Fu, Y., Feng, D. (2013). Multi-pose 3D face recognition based on 2D sparse representation. Journal of Visual Communication and Image Representation, 24(2), 117-126.

2012

  • Zhang, Y., Guo, Z., Xia, Y., Lin, Z., Feng, D. (2012). 2D representation of facial surfaces for multi-pose 3D face recognition. Pattern Recognition Letters, 33(5), 530-536.
  • Zhang, T., Xia, Y., Feng, D. (2012). A Deformable Cosegmentation Algorithm for Brain MR Images. 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society EMBS 2012, Piscataway: (IEEE) Institute of Electrical and Electronics Engineers.
  • Zhang, T., Xia, Y., Feng, D. (2012). An Evolutionary HMRF Approach to Brain MR Image Segmentation Using Clonal Selection Algorithm. 8th IFAC Symposium on Biological and Medical Systems, Budapest: International Federation of Automatic Control (IFAC).
  • Li, C., Wang, X., Xia, Y., Eberl, S., Yin, Y., Feng, D. (2012). Automated PET-guided liver segmentation from low-contrast CT volumes using probabilistic atlas. Computer Methods and Programs in Biomedicine, 107(2), 164-174.
  • Zhang, T., Xia, Y., Feng, D. (2012). Clonal Selection Algorithm for Gaussian Mixture Model Based Segmentation of 3D Brain MR Images. Lecture Notes in Computer Science (LNCS), 7202, 295-302.
  • Xia, Y., Eberl, S., Wen, L., Fulham, M., Feng, D. (2012). Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. Computerized Medical Imaging and Graphics, 36(1), 47-53.
  • Xia, Y., Eberl, S., Wen, L., Fulham, M., Feng, D. (2012). Dual-modality brain PET-CT image segmentation based on adaptive use of functional and anatomical information. Computerized Medical Imaging and Graphics, 36(1), 47-53.
  • Ji, Z., Xia, Y., Chen, Q., Sun, Q., Xia, D., Feng, D. (2012). Fuzzy c-means clustering with weighted image patch for image segmentation. Applied Soft Computing, 12(6), 1659-1667.
  • Ji, Z., Xia, Y., Sun, Q., Chen, Q., Xia, D., Feng, D. (2012). Fuzzy local Gaussian mixture model for brain MR image segmentation. IEEE Transactions on Information Technology in Biomedicine, 16(3), 339-347.
  • Xia, Y., Zhang, Z., Wen, L., Dong, P., Feng, D. (2012). GA and AdaBoost-based feature selection and combination for automated identification of dementia using FDG-PET imaging. Lecture Notes in Computer Science (LNCS), 7202, 128-135.
  • Wang, S., Xia, Y., Liu, Q., Luo, J., Zhu, Y., Feng, D. (2012). Gabor feature based nonlocal means filter for textured image denoising. Journal of Visual Communication and Image Representation, 23(7), 1008-1018.
  • Ji, Z., Sun, Q., Xia, Y., Chen, Q., Xia, D., Feng, D. (2012). Generalized rough fuzzy c-means algorithm for brain MR image segmentation. Computer Methods and Programs in Biomedicine, 108(2), 664-655.
  • Ji, Z., Xia, Y., Sun, Q., Xia, D., Feng, D. (2012). Local Gaussian distribution fitting based FCM algorithm for brain MR image segmentation. Lecture Notes in Computer Science (LNCS), 7202, 318-325.
  • Dong, P., Xia, Y., Feng, D. (2012). Real-Time Storyboard Generation for H.264/AVC Compressed Videos. 2012 IEEE International Conference on Multimedia and Expo (ICME 2012), Piscataway: (IEEE) Institute of Electrical and Electronics Engineers.

2011

  • Wang, X., Fang, C., Xia, Y., Feng, D. (2011). 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), 48-56.
  • Xia, Y., Wang, J., Eberl, S., Fulham, M., Feng, D. (2011). Brain tissue segmentation in PET-CT images using probabilistic atlas and variational Bayes inference. 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2011), Piscataway, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, J., Xia, Y., Feng, D. (2011). Differential Evolution Based Variational Bayes Inference for Brain PET-CT Image Segmentation. 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Los Alamitos, CA, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Tian, G., Xia, Y., Zhang, Y., Feng, D. (2011). 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), 373-380.
  • Dong, P., Xia, Y., Zhuo, L., Feng, D. (2011). Real-time moving object segmentation and tracking for H.264/AVC surveillance videos. 18th IEEE International Conference on Image Processing (ICIP 2011), Piscataway, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, J., Xia, Y., Wang, J., Feng, D. (2011). Variational Bayes Inference Based Segmentation of Heterogeneous Lymphoma Volumes in Dual-Modality PET-CT Images. 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2011), Los Alamitos, CA, USA: (IEEE) Institute of Electrical and Electronics Engineers.

2010

  • Guo, Z., Zhang, Y., Xia, Y., Lin, Z., Feng, D. (2010). 3D Face Representation and Recognition by Intrinsic Shape Description Maps. IEEE International Conference on Acoustic, Speech, and Signal Processing ICASSP 2010, USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D. (2010). A General Image Segmentation Model and Its Application. 5th International Conference on Image and Graphics (ICIG 2009), Los Alamitos, CA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Wang, Z., Feng, D., Xia, Y. (2010). Automated Detection of the Occurrence and Changes of Hot-Spots in Intro-Subject FDG-PET Images from Combined PET-CT Scanners. 2010 Digital Image Computing:Techniques and Applications (DICTA 2010), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Eberl, S., Feng, D. (2010). Dual-Modality 3D Brain PET-CT Image Segmentation Based on Probabilistic Brain Atlas and Classification Fusion. 2010 IEEE 17th International Conference on Image Processing (ICIP 2010), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D., Zhao, R., Zhang, Y. (2010). Multifractal signature estimation for textured image segmentation. Pattern Recognition Letters, 31(2), 163-169.

2009

  • Guo, Z., Zhang, Y., Xia, Y., Lin, Z., Feng, D. (2009). Invariant descriptor for multi-view 3D facial surface. 2nd International Conference on Broadband Network and Multimedia Technology (IC-BNMT 2009), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2009). Segmentation of brain PET-CT images based on adaptive use of complementary information. Medical Imaging 2009, United States: SPIE - International Society for Optical Engineering.

2008

  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2008). Genetic Algorithm-Based PCA Eigenvector Selection and Weighting for automated identification of Dementia using FDG-PET Imaging. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 08), USA: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2008). Segmentation of Brain Structures Using PET-CT Images. 5th International Conference on IT and Applications in Biomedicine (ITAB 2008), in conjunction with 2nd Int Symp and Summer School on Biomedical and Health Engineering (IS3BHE 2008), USA: IEEE Xplore.
  • Xia, Y., Wen, L., Eberl, S., Fulham, M., Feng, D. (2008). Segmentation of Dual Modality Brain PET/CT Images Using the MAP-MRF. 2008 IEEE 10th Workshop on Multimedia Signal Processing (MMSP 2008), USA: (IEEE) Institute of Electrical and Electronics Engineers.

2007

  • Xie, J., Rongchun, Z., Xia, Y. (2007). Combined Terrain Aided Navigation based on Correlation Method and Parallel Kalman Filters. International Conference on Electronic Measurement and Instruments (ICEMI '07). (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D., Wang, T., Zhao, R., Zhang, Y. (2007). Image segmentation by clustering of spatial patterns. Pattern Recognition Letters, 28(12), 1548-1555.

2006

  • Xia, Y., Feng, D., Zhao, R. (2006). Adaptive Segmentation of Textured Images by Using the Coupled Markov Random Field Model. IEEE Transactions on Image Processing, 15(11), 3359-3566.
  • Xia, Y., Feng, D., Zhao, R. (2006). Morphology-based multifractal estimation for texture segmentation. IEEE Transactions on Image Processing, 15(3), 614-623.
  • Xia, Y., Rongchun, Z. (2006). Multiscale Segmentation of Remote Sensing Images by Using Local Morphological Multifractal Exponents. Journal of Computer Applications (Jisuanji Yingyong), 26(9), 2083-2085.
  • Xia, Y., Zhao, R., Feng, D., Zhang, Y., Sun, J. (2006). Texture Discrimination by Local Morphological Multifractal Signatures. TENCON 2006: 2006 IEEE Region 10 Conference, United States: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Zhao, R., Zhang, Y., Sun, J., Feng, D. (2006). Texture Segmentation by Fuzzy Clustering of Spatial Patterns. In Lipo Wang, Guangming Shi, Licheng Jiao, Xue Li, Jing Liu (Eds.), Fuzzy Systems and Knowledge Discovery, (pp. 894-897). Germany: Springer.

2005

  • Xia, Y., Feng, D., Rongchun, Z., Petrou, M. (2005). Learning-based algorithm selection for image segmentation. Pattern Recognition Letters, 26(8), 1059-1068.
  • Xia, Y., Feng, D., Zhao, R. (2005). Semi-Supervised Segmentation of Textured Images by Using Coupled MRF Model. Tencon 2005 - IEEE Region 10 Conference, United States: (IEEE) Institute of Electrical and Electronics Engineers.

2004

  • Xia, Y., Rongchun, Z., Zetao, J. (2004). Fractal Dimension Estimation based on Mathematical Morphological. Chinese Journal of Image and Graphics, 9(A) (6), 760-766.
  • Xia, Y., Feng, D., Zhao, R. (2004). Multifractal Estimation For Remote Sensing Image Segmentation. ICSP''04, Piscataway/Beijing: (IEEE) Institute of Electrical and Electronics Engineers.
  • Xia, Y., Feng, D., Rongchun, Z. (2004). Optimal Selection Of Image Segmentation Algorithms Based On Performance Prediction. Pan-Sydney Area Workshop on Visual Information Processing (VIP2003), Australia: Australian Computer Society.
  • Xia, Y., Feng, D., Rongchun, Z. (2004). Texture Segmentation Using Local Morphological Multifractal Exponents. International Symposium on Intelligent Multimedia, Video and Speech Processing: ISIMP 2004, Piscataway NJ: (IEEE) Institute of Electrical and Electronics Engineers.

2002

  • Xia, Y., Rongchun, Z. (2002). A New Thresholding Algorithm Using Spacial Information. Chinese Journal of Stereology and Image Analysis (Zhongguo Tishixue yu Tuxiang Fenxi), 7(4), 235-239.

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