Weidong (Tom) Cai

PhD
Associate Professor
Member, Research Committee
Multimedia Computing Research Laboratory

SIT Building J12, Room 3E-344
(Cnr Cleveland St and City Rd)
P: +61 2 9351 3271
F: +61 2 9351 3838
E: tom DOT cai AT sydney DOT edu DOT au

Research interests

Biomedical and Multimedia Data Coding and Retrieval; Medical Image Processing and Analysis; Fast Algorithms for Functional Imaging; Computer Vision and Pattern Recognition; Mixed and Augmented Reality; Digital Interactive Media.

Selected publications

The following list is a selection from over 120 publications:

Refereed Journal Articles:

  • Y Song, W Cai, H Huang, X Wang, Y Zhou, M Fulham, D Feng, “Lesion Detection and Characterization with Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies”, IEEE Transactions on Medical Imaging, Accepted to appear.
  • Y Song, W Cai, H Huang, Y Wang, D Feng, M Chen, “Region-based Progressive Localization of Cell Nuclei in Microscopic Images with Data Adaptive Modeling”, BMC Bioinformatics, 14:173, pp1-16, 2013.
  • Y Song, W Cai, Y Zhou, D Feng, “Feature-based Image Patch Approximation for Lung Tissue Classification”, IEEE Transactions on Medical Imaging, Vol.32, No.4, pp797-808, 2013.
  • Y Song, W Cai, J Kim, D Feng, “A Multi-Stage Discriminative Model for Tumor and Lymph Node Detection in Thoracic Images”, IEEE Transactions on Medical Imaging, Vol.31, No.5, pp1061-1075, 2012. (The Google Publication Prize 2012)
  • W Deng, J Hu, J Guo, W Cai, D Feng, “Emulating Biological Strategies for Uncontrolled Face Recognition”, Pattern Recognition, Vol.43, Issue 6, pp2210-2223, 2010.
  • H K Cheung, W C Siu, D Feng, W Cai, “New Block-based Motion Estimation for Sequences with Brightness Variation and its Application to Static Sprite Generation for Video Compression”, IEEE Transactions on Circuits and Systems for Video Technology, Vol.18, No.4, pp522-527, 2008.
  • L Wen, S Eberl, D Feng, W Cai, J Bai, “Fast and Reliable Estimation of Multiple Parametric Images using an Integrated Method for Dynamic SPECT”, IEEE Transactions on Medical Imaging, Vol.26, No.2, pp179-189, 2007.
  • J Kim, W Cai, D Feng, S Eberl, “Segmentation of Volume of Interest from Multi-Dimensional Dynamic PET Images by Integrating Spatial and Temporal Features”, IEEE Transactions on Information Technology in Biomedicine, Vol.10, No.4, pp637-646, 2006.
  • J Kim, W Cai, D Feng, H Wu, “A New Way for Multi-Dimensional Medical Data Management: Volume of Interest (VOI) Based Retrieval of Medical Images with Visual and Functional Features”, IEEE Transactions on Information Technology in Biomedicine, Vol.10, No.3, pp598-607, 2006.
  • Z Chen, D Feng, W Cai, R Fulton, “Performance Evaluation of Functional Medical Imaging Compression via Optimal Sampling Schedule Designs and Cluster Analysis”, IEEE Transactions on Biomedical Engineering, Vol.52, No.5, pp943-945, 2005.
  • D Feng, W Cai, R Fulton, "Dynamic Image Data Compression in Spatial and Temporal Domains: Clinical Issues and Assessment", IEEE Transactions on Information Technology in Biomedicine, Vol.6, No.4, pp262-268, 2002.
  • W Cai, D Feng, R Fulton, “Content-Based Retrieval of Dynamic PET Functional Images”, IEEE Transactions on Information Technology in Biomedicine, Vol.4, No.2, pp152-158, 2000.

Refereed Conference Papers:

  • Y Song, W Cai, H Huang, X Wang, S Eberl, M Fulham, D Feng, “Similarity Guided Feature Labeling for Lesion Detection”, The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), LNCS8149, pp284-291. (MICCAI Travel Award)
  • S Liu, Y Song, W Cai, S Pujol, R Kikinis, X Wang, D Feng, “Multifold Bayesian Kernelization in Alzheimer's Diagnosis”, The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), LNCS8150, pp303-310. (MICCAI Travel Award)
  • Y Song, W Cai, S Huh, M Chen, T Kanade, Y Zhou, D Feng, “Discriminative Data Transform for Image Feature Extraction and Classification”, The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013), LNCS8150, pp452-459. (MICCAI Travel Award)
  • S Liu, W Cai, L Wen, D Feng, “Neuroimaging Biomarker based Prediction of Alzheimer's Disease Severity with Optimized Graph Construction”, IEEE International Symposium on Biomedical Imaging (ISBI 2013), pp1324-1327.
  • Y Song, W Cai, Y Zhou, D Feng, “Thoracic Abnormality Detection with Data Adaptive Structure Estimation”, The 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012), LNCS7510, pp74-81.
  • Y Song, W Cai, H Huang, Y Wang, D Feng, “Object Localization in Medical Images based on Graphical Model with Contrast and Interest-Region Terms”, The 25th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012) Workshop on Medical Computer Vision.
  • W Cai, Y Song, D Feng, “Regression and Classification based Distance Metric Learning for Medical Image Retrieval”, IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp1775-1778.
  • Y Song, W Cai, Y Wang, D Feng, “Location Classification of Lung Nodules with Optimized Graph Construction”, IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp1439-1442.
  • S Liu, W Cai, L Wen, D Feng, "Multiscale and Multiorientation Feature Extraction with Degenerative Patterns for 3D Neuroimaging Retrieval", The 19th IEEE International Conference on Image Processing (ICIP 2012), pp1249-1252.
  • Y Song, W Cai, D Feng, “Hierarchical Spatial Matching for Medical Image Retrieval”, The 19th Annual ACM International Conference on Multimedia (ACM MM2011) Workshop on Medical Multimedia Analysis and Retrieval, pp1-6.
  • Y Song, W Cai, S Eberl, M Fulham, D Feng, "Thoracic Image Case Retrieval with Spatial and Contextual Information", IEEE International Symposium on Biomedical Imaging (ISBI 2011), pp1885-1888.
  • Y Song, W Cai, S Eberl, M Fulham, D Feng, "Discriminative Pathological Context Detection in Thoracic Images based on Multi-level Inference", The 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2011), LNCS6893, pp191-198.

Units of study taught

Digital Media; Digital Multimedia Fundamentals; Graphics and Multimedia; Information Technology in Biomedicine; IT Research Methods; Java Programming; Major Development Project; Multimedia Authoring and Production; Multimedia Computing and Processing; Object-Oriented Systems; Scientific Visualization; Software Development; Software Development Project; Software Engineering Project.