WEIDONG (TOM) CAI  PhD

 

Associate Professor, Director of Multimedia Laboratory

Biomedical & Multimedia Info. Tech. (BMIT) Research Group

School of Information Technologies

Faculty of Engineering and IT, The University of Sydney

1 Cleveland Street, SIT Building J12, Office 3E-344

Sydney, NSW 2006, Australia

Phone: +61 2 9351 3271

Email: tom dot cai at sydney.edu.au

Web: http://sydney.edu.au/engineering/people/tom.cai.php

 

Dr. Weidong Cai is an Associate Professor in the School of Information Technologies, Director of the Multimedia Laboratory, and Associate Director of the Biomedical & Multimedia Information Technology (BMIT) Research Group. He has been a Lead Investigator / Visiting Professor on medical image analysis and medical computer vision at Surgical Planning Laboratory (SPL), Harvard Medical School during his 2014 SSP. He received his PhD degree in Computer Science from the Basser Department of Computer Science, The University of Sydney, in 2001. His research interests include medical computer vision, image/video processing and retrieval, medical image analysis, big data mining, computer vision & pattern recognition, bioinformatics, and computational neuroscience. He has published more than 200 peer-reviewed papers in leading international journals and proceedings of top international conferences.

 

Recent Professional Services / Activities

 

Area Chair, The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI'17), Quebec, Canada

Program Co-Chair, International Conference on Digital Image Computing: Tech. & Apps. (DICTA'17), Sydney, Australia

Area Chair, 2017 IEEE International Conference on Multimedia & Expo (ICME'17), Hong Kong

Co-Organizer, 2017 IEEE International Symposium on Biomedical Imaging (ISBI'17) BTA Tutorial, Melbourne

Session Chair, 2017 IEEE International Symposium on Biomedical Imaging (ISBI'17), Melbourne, Australia

PC member, The 25th International Conference on Multimedia (ACM MM'17), Mountain View, CA, USA

PC member, CVPR'17 Workshop on Computer Vision for Microscopy Image Analysis, Honolulu, Hawaii

PC member, ICCV'17 Workshop on BioImage Computing, Venice, Italy

PC member, MICCAI'17 Workshop on Computational Methods for Molecular Imaging (CMMI'17), Quebec, Canada

PC member, MICCAI'17 Workshop on Computational Methods and Clinical Applications in Musculoskeletal Imaging (MSKI'17), Quebec

PC member, MICCAI'17 Workshop on Deep Learning in Medical Image Analysis (DLMIA'17), Quebec, Canada

PC member, MICCAI'17 Workshop on Large-scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS'17), Quebec

PC member, MICCAI'17 Workshop on Patch-based Techniques in Medical Imaging (PatchMI'17), Quebec, Canada

PC member, Australasian Conference on Artificial Life and Computational Intelligence (ACALCI'17), Melbourne

PC member, 2017 IEEE/WIC/ACM International Conference on Web Intelligence (WI'17), Leipzig, Germany

PC member, International Conference on Brain Informatics (BI'17), Beijing, China

Co-Organizer, CVPR'16 Workshop on Computer Vision for Microscopy Image Analysis, Las Vegas, USA

Area Chair, IEEE International Conference on Multimedia & Expo (ICME'16), Seattle, USA

Co-Organizer, MICCAI'16 Workshop on Medical Computer Vision: Algorithms for Big Data, Athens, Greece

Publicity Chair, International Conference on Brain Informatics & Health (BIH'16), Omaha, USA

PC member, MICCAI'16 Workshop on Deep Learning in Medical Image Analysis (DLMIA'16), Athens, Greece

PC member, MICCAI'16 Workshop on Large-scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS'16), Athens

PC member, MICCAI'16 Workshop on Patch-based Techniques in Medical Imaging (PMI'16), Athens, Greece

PC member, The 6th European Workshop on Visual Information Processing (EUVIP'16), Marseille, France

PC member, Australasian Conference on Artificial Life and Computational Intelligence (ACALCI'16), Canberra

PC member, International Conference on Digital Image Computing: Tech.&Apps. (DICTA'16), Gold Coast, Australia

PC member, PAKDD'16 Workshop on Machine Learning for Sensory Data Analysis (MLSDA'16), Auckland

PC member, The 14th International Conference on Control, Automation, Robotics and Vision (ICARCV'16), Phuket, Thailand

PC member, 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI'16), Omaha, NE, USA

Co-Organizer, MICCAI'15 Workshop on Medical Computer Vision: Algorithms for Big Data, Munich, Germany

Publicity Chair, ACM International Conference on Multimedia (ACM MM'15), Brisbane, Australia

Session Chair, The 24th ACM International Conference on Information and Knowledge Management (CIKM'15), Melbourne

PC member, MICCAI'15 Workshop on Computational Methods for Molecular Imaging (CMMI'15), Munich, Germany

PC member, MICCAI'15 Workshop on Deep Learning in Medical Image Analysis (DLMIA'15), Munich, Germany

PC member, MICCAI'15 Workshop on Patch-based Techniques in Medical Imaging (PMI'15), Munich, Germany

Team Leader, USYD Team, BigNeuron Hackathon'15, Beijing

Coordinator, USYD/HES-SO Team, VISCERAL Retrieval Benchmark'15, Vienna

Team Leader, Team Australia, MICCAI'15 Diffusion Tractography Imaging (DTI) Challenge, Munich, Germany

Scientific Committee member, ECIR'15 Workshop - Multimodal Retrieval in the Medical Domain (MRMD'15), Vienna

PC member, The 9th IFAC Symposium on Biological and Medical Systems (BMS'15), Berlin, Germany

PC member, First Australasian Conference on Artificial Life and Computational Intelligence (ACALCI'15), Newcastle

PC member, International Conference on Digital Image Computing: Tech.&Apps. (DICTA'15), Adelaide, Australia

Co-Organizer, MICCAI'14 Workshop on Medical Computer Vision: Algorithms for Big Data, MIT, Boston, USA

PC member, MICCAI'14 Workshop on Computational Methods for Molecular Imaging (CMMI'14), MIT, Boston, USA

PC member, MICCAI'14 Workshop on Machine Learning in Medical Imaging (MLMI'14), MIT, Boston, USA

PC member, MICCAI'14 Workshop on Sparsity Techniques in Medical Imaging (STMI'14), MIT, Boston, USA

Team Leader, Team Australia, MICCAI'14 Diffusion Tractography Imaging (DTI) Challenge, Harvard, Boston, USA

Team Leader, USYD Team, MICCAI'14 Machine Learning Challenge (MLC), MIT, Boston, USA

Organizer and Chair, Invited Session on Medical Imaging, ICARCV'14, Singapore

PC member, International Conference on Digital Image Computing: Tech.&Apps. (DICTA'14), Wollongong, Australia

Program Committee member, The 31st Computer Graphics International (CGI'14), Sydney, Australia

Co-Chair, Special Session on Computing for Smart Healthcare, ICOT'14, Xi'an, China

PC member, PRICAI'14 Workshop on Machine Learning for Sensory Data Analysis (MLSDA'14), Australia

Key Investigator, Sydney Research Networks Scheme (SyReNS) - ATVRE

Guest Editor, Neurocomputing, Elsevier

Associate Editor, Brain Informatics, Springer

Associate Editor, Computational Visual Media, Springer

Book Series Editor, Brain Informatics and Health (BIH) book series, Springer Nature

 

Research Projects

 

* Selected research projects


* Research project offerings

(PhD / MPhil / Master of IT 18cp / Honours / Talented Student Program / Special Studies Program)

 

Selected Publications

 

JOURNAL PAPERS:

 

- Y. Song, Q. Li, H. Huang, D. Feng, M. Chen, W. Cai,
"Low Dimensional Representation of Fisher Vectors for Microscopy Image Classification",
IEEE Transactions on Medical Imaging, 2017. (Accepted to appear) [Link]


- Y. Yuan, C. Li, J. Kim, W. Cai, D. Feng,
"Reversion Correction and Regularized Random Walks Ranking for Saliency Detection",
IEEE Transactions on Image Processing, 2017. (Accepted to appear) [Link]


- Y. Song, Q. Li, F. Zhang, H. Huang, D. Feng, Y. Wang, M. Chen, W. Cai,
"Dual Discriminative Local Coding for Tissue Aging Analysis",
Medical Image Analysis, Vol.38, pp65-76, 2017. [Link]


- Y. Yuan, C. Li, J. Kim, W. Cai, D. Feng,
"Dense and Sparse Labeling with Multi-Dimensional Features for Saliency Detection",
IEEE Transactions on Circuits and Systems for Video Technology, 2017. (Accepted to appear) [Link]


- A. Tareef, Y. Song, H. Heng, Y. Wang, D. Feng, M. Chen, W. Cai,
"Optimizing the Cervix Cytological Examination based on Deep Learning and Dynamic Shape Modelling",
Neurocomputing, 2017. (Invited Paper)(Accepted to appear) [Link]


- F. Zhang, Y. Song, W. Cai, S. Liu, S.Q. Liu, S. Pujol, R. Kikinis, Y. Xia, M. Fulham, D. Feng, ADNI,
"Pairwise Latent Semantic Association for Similarity Computation in Medical Imaging",
IEEE Transactions on Biomedical Engineering, Vol.63, Issue 5, pp1058-1069, 2016. [Link]


- Y. Song, W. Cai, H. Huang, D. Feng, Y. Wang, M. Chen,
"Bioimage Classification with Subcategory Discriminant Transform of High Dimensional Visual Descriptors",
BMC Bioinformatics, 17:465, DOI 10.1186/s12859-016-1318-9, 2016. [Link]


- Siqi Liu, Donghao Zhang, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai,
"Rivulet: 3D Neuron Morphology Tracing with Iterative Back-Tracking",
Neuroinformatics, Vol.14, Issue 4, pp387-401, 2016. [Link] [Toolbox/Code] [Vaa3D Plugin]


- Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng, ADNI,
"Cross-View Neuroimage Pattern Analysis in Alzheimer's Disease Staging",
Frontiers in Aging Neuroscience, 8:23, doi:10.3389/fnagi.2016.00023, 2016. [Link]


- F. Zhang, Y. Song, W. Cai, A.G. Hauptmann, S. Liu, S. Pujol, R. Kikinis, M. Fulham, D. Feng, M. Chen,
"Dictionary Pruning with Visual Word Significance for Medical Image Retrieval",
Neurocomputing, Vol.177, pp75-88, 2016. [PDF]


- Y. Yuan, Y. Shi, C. Li, J. Kim, W. Cai, Z. Han, D. Feng,
"DeepGene: An Advanced Cancer Type Classifier Based on Deep Learning and Somatic Point Mutations",
BMC Bioinformatics, 17(Suppl 17):476, DOI 10.1186/s12859-016-1334-9, 2016. [Link]


- Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Dagan Feng, Yue Wang, Michael Fulham, Mei Chen,
"Large Margin Local Estimate with Applications to Medical Image Classification",
IEEE Transactions on Medical Imaging, Vol.34, No.6, pp1362-1377, 2015. [Link] [Code]


- Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhanng, Michael Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis,
"Multimodal Neuroimaging Computing: A Review of the Applications in Neuropsychiatric Disorders",
Brain Informatics
, Vol.2, No.3, Springer, 2015. (Invited paper) [Link]


- Sidong Liu, Weidong Cai, Siqi Liu, Fan Zhanng, Michael Fulham, Dagan Feng, Sonia Pujol, Ron Kikinis,
"Multimodal Neuroimaging Computing: The Workflows, Methods and Platforms",
Brain Informatics
, Vol.2, No.3, Springer, 2015. (Invited paper) [Link]


- Siqi Liu, Sidong Liu, Weidong Cai, Hangyu Che, Sonia Pujol, Ron Kikinis, Dagan Feng, Michael Fulham, ADNI,
"Multi-Modal Neuroimaging Feature Learning for Multi-Class Diagnosis of Alzheimers's Disease",
IEEE Transactions on Biomedical Engineering
, Vol.62, Issue 4, pp1132-1140, 2015. [Link]


- Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Yue Wang, Dagan Feng,
"Locality-constrained Subcluster Representation Ensemble for Lung Image Classification",
Medical Image Analysis, Vol.22, Issue 1, pp102-113, 2015. [PDF]


- Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Yun Zhou, Michael Fulham, Dagan Feng,
"Lesion Detection and Characterization with Context Driven Approximation in Thoracic FDG PET-CT Images of NSCLC Studies",
IEEE Transactions on Medical Imaging, Vol.33, No.2, pp408-421, 2014. [Link]


- Fan Zhang, Yang Song, Weidong Cai, Min-Zhao Lee, Yun Zhou, Heng Huang, Shimin Shan, Michael Fulham, Dagan Feng,
"Lung Nodule Classification with Multi-Level Patch-based Context Analysis",
IEEE Transactions on Biomedical Engineering, Vol.61, No.4, pp1155-1166, 2014. [Link]


- Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng, Sonia Pujol, Ron Kikinis, Michael Fulham, Stefan Eberl, ADNI,
"Multi-Channel Neurodegenerative Pattern Analysis and Its Application in Alzheimer's Disease Characterization",
Computerized Medical Imaging and Graphics, Vol.38, pp436-444, 2014. [PDF]


- Peng Fu, Changyang Li, Yong Xia, Zexuan Ji, Quansen Sun, Weidong Cai, Dagan Feng,
"Adaptive Noise Estimation from Highly Textured Hyperspectral Images",
Applied Optics, Vol.53, No.30, pp7059-7071, 2014. [PDF]


- Yang Song, Weidong Cai, Yun Zhou, Dagan Feng,
"Feature-based Image Patch Approximation for Lung Tissue Classification",
IEEE Transactions on Medical Imaging, Vol.32, No.4, pp797-808, 2013. [Link] [Code]


- Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng, Mei Chen,
"Region-based Progressive Localization of Cell Nuclei in Microscopic Images with Data Adaptive Modeling",
BMC Bioinformatics, 14:173, pp1-16, 2013. [Link]


- Ashnil Kumar, Jinman Kim, Weidong Cai, Michael Fulham, Dagan Feng,
"Content-based Medical Image Retrieval: A Survey of Applications to Multidimensional and Multimodality Data",
Journal of Digital Imaging, Vol. 26, Issue 6, pp1025-1039, 2013. [PDF]


- Yang Song, Weidong Cai, Jinman Kim, Dagan 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) [Link]


- Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, Dagan Feng,
"Emulating Biological Strategies for Uncontrolled Face Recognition",
Pattern Recognition, Vol.43, Issue 6, pp2210-2223, 2010. [PDF]


- Weihong Deng, Jiani Hu, Jun Guo, Weidong Cai, Dagan Feng,
"Robust, Accurate and Efficient Face Recognition from a Single Training Image: An Uniform Pursuit Approach",
Pattern Recognition, Vol. 43, Issue 5, pp1748-1762, May 2010. [PDF]


- Hoi-Kok Cheung, Wan-Chi Siu, Dagan Feng, Weidong 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. [Link]


- Jinman Kim, Weidong Cai, Stefan Eberl, Dagan Feng,
"Real-time Volume Rendering Visualization of Dual-modality PET/CT Images with Interactive Fuzzy Thresholding Segmentation",
IEEE Transactions on Information Technology in Biomedicine, Vol.11, No.2, pp161-169, 2007. [Link]


- Lingfeng Wen, Stefan Eberl, Dagan Feng, Weidong Cai, Jing 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. [Link]


- Jinman Kim, Weidong Cai, Dagan Feng, Stefan 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. [Link]


- Jinman Kim, Weidong Cai, Dagan Feng, Hao 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. [Link]


- Zhe Chen, Dagan Feng, Weidong Cai, Roger 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. [Link]


- Dagan Feng, Weidong Cai, Roger 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. [Link]


- Weidong Cai, Dagan Feng, Roger Fulton, Wan-Chi Siu,
"Generalized Linear Least Squares Algorithms for Modeling Glucose Metabolism in the Human Brain with Corrections for Vascular Effects",
Computer Methods and Programs in Biomedicine, vol. 68, no. 1, pp1-14, 2002. [PDF]


- Weidong Cai, Dagan Feng, Roger Fulton,
"Web-based Digital Medical Images",
IEEE Computer Graphics and Applications, Vol. 21, No. 1, pp.44-47, Jan/Feb 2001. [Link]


- Weidong Cai, Dagan Feng, Roger Fulton,
"Content-Based Retrieval of Dynamic PET Functional Images",
IEEE Transactions on Information Technology in Biomedicine, Vol.4, No.2, pp152-158, 2000. [Link]


 

CONFERENCE PAPERS:

 

- F. Zhang, I. Norton, W. Cai, Y. Song, W. Wells, L. O'Donnell,
"Comparison between Two White Matter Segmentation Strategies: An Investigation into White Matter Segmentation Consistency",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2017), pp796-799, 2017.
(NIH / NIBIB Travel Award) [Link]


- F. Zhang, P. Kahaliardabili, Y. Suter, I. Norton, R. Laura, P. Savadjiev, Y. Song, Y. Rathi, W. Cai, W. Wells, A. Golby, L. O'Donnell,
"Automated Connectivity-Based Groupwise Cortical Atlas Generation: Application to Data of Neurosurgical Patients with Brain Tumors for Cortical Parcellation Prediction",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2017), pp774-777, 2017.
(NIH / NIBIB Travel Award) [Link]


- Z. Huo, S. Gao, W. Cai, H. Huang,
"Video Recovery via Learning Variation and Consistency of Images",
The 31st AAAI Conference on Artificial Intelligence (AAAI 2017), 2017. [Link]


- Z. Zhou, X. Liu, A. Ramanathan, H. Chen, Y. Li, M. Prabhat, K. Bouchard, L. Gu, L. Cheng, Z. Wan, J. Yang, N. Zhong, L. Qu, J.Z. Yang, S. Liu, W. Cai, H. Zhou, S. Zeng, C-W Wang, A. Sironi, P. Glowacki, P. Fua, M. Radojevic, D. Jin, T. Zhao, J. Zhou, Z. Zheng, P. Hong, T. Zeng, R. Li, S. Ji, H. Ikeno, Y-T Ching, T. Liu, E. Bas, B. Roysam, S. Sorensen, Al Nern, G. Tourassi, J. Wells, R. Kanzaki, K. Ito, J.S. Kim, G. Jefferis, Y. Wang, E. Rubel, P.T. Gonzalez-Bellido, R. Wong, B. Ye, H. Zeng, E. Lein, H. Cline, A-S Chiang, G.M. Rubin, S. Hill, M. Hawrylycz, A. Jones, C. Koch, E. Meijering, G.A. Ascoli, H. Peng,
"BigNeuron Algorithm - Porting and Bench-Testing for Automatic, Massive-Scale Neuron Reconstruction",
2016 Society for Neuroscience (SfN) Annual Meeting (Neuroscience 2016), 2016. [Link]


- S. Liu, Y. Song, F. Zhang, D. Feng, M. Fulham, W. Cai,
"Clique Identification and Propagation for Multimodal Brain Tumor Image Segmentation",
2016 International Conference on Brain Informatics and Health (BIH 2016), Lecture Notes in Computer Science, Vol.9919, pp285-294, 2016.
(BIH'16 Best Paper Award) [Link]


- Y. Song, Q. Li, H. Huang, D. Feng, M. Chen, W. Cai,
"Histopathology Image Categorization with Discriminative Dimension Reduction of Fisher Vectors",
The 14th European Conference on Computer Vision (ECCV 2016) Workshop on Bioimage Computing,
Lecture Notes in Computer Science, Vol.9913, pp306-317, 2016. [Link]


- H. Chen, H. Xia, W. Cai, H. Huang
"Error Analysis of Generalized Nystrom Kernel Regression",
The 30th Annual Conference on Neural Information Processing Systems (NIPS 2016) ,
Advances in Neural Information Processing Systems 29, pp2541-2549, 2016. [PDF]


- Ju Han, Yunfu Wang, Weidong Cai, Alexander Borowsky, Bahram Parvin, Hang Chang,
"Integrative Analysis of Cellular Morphometric Context Reveals Clinically Relevant Signatures in Lower Grade Glioma",
The 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2016),
Lecture Notes in Computer Science, Vol.9900, pp72-80, 2016. [Link]


- Donghao Zhang, Siqi Liu, Sidong Liu, Dagan Feng, Hanchuan Peng, Weidong Cai,
"Reconstruction of 3D Neuron Morphology using Rivulet Back-Tracking",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), pp598-601, 2016. [Link]


- Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Dagan Feng, Yue Wang, Mei Chen,
"Texture Analysis of Tissue Aging using Global and Cluster Constrained Local Coding",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), pp1229-1232, 2016. [Link]


- Afaf Tareef, Yang Song, Weidong Cai, Yue Wang, Dagan Feng, Mei Chen,
"Automatic Nuclei and Cytoplasm Segmentation of Leukocytes with Color and Texture-based Image Enhancement",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), pp935-938, 2016. [Link]


- Fan Zhang, Peter Savadjiev, Weidong Cai, Yang Song, Ragini Verma, Carl-Fredrik Westin, Lauren J O'Donnell,
"Fiber Clustering based White Matter Connectivity Analysis for Prediction of Autism Spectrum Disorder using Diffusion Tensor Imaging",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2016), pp564-567, 2016.
(Finalist for Best Student Paper Award) [Link]


- Hongchang Gao, Lin Yan, Weidong Cai, Heng Huang,
"Anatomical Annotations for Drosophila Gene Expression Patterns via Multi-Dimensional Visual Descriptors Integration",
The 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2015), pp339-348, 2015. [Link]


- Fan Zhang, Yang Song, Siqi Liu, Paul Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Sidong Liu, Dagan Feng, Weidong Cai,
"Motion Representation of Ciliated Cell Images with Contour-Alignment for Automated CBF Estimation",
The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015),
Lecture Notes in Computer Science 9351, pp300-307, 2015. (MICCAI Travel Award) [Link]


- Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, Dagan Feng, Michael Fulham,
"Latent Discriminative Modeling for Lesion Detection in PET-CT Images",
The 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015),
Workshop on Computational Methods for Molecular Imaging, pp52-62, 2015. [PDF]


- Yang Song, Weidong Cai, Qing Li, Fan Zhang, Dagan Feng, Heng Huang,
"Fusing Subcategory Probabilities for Texture Classification",
The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp4409-4417, 2015. [Link]


- Changyang Li, Yuchen Yuan, Weidong Cai, Yong Xia, Dagan Feng,
"Robust Saliency Detection via Regularized Random Walks Ranking",
The 28th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015), pp2710-2717, 2015. [Link]


- Sidong Liu, Weidong Cai, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng,
"Subject-Centered Multi-View Feature Fusion for Neuroimaging Retrieval and Classification",
The IEEE International Conference on Image Processing (ICIP 2015), 2015. [PDF]


- Fan Zhang, Weidong Cai, Yang Song, Paul Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Dagan Feng,
"Beating Cilia Identification in Fluorescence Microscope Images for Accurate CBF Measurement",
The IEEE International Conference on Image Processing (ICIP 2015), 2015. [PDF]


- Peng Li, Weidong Cai, Heng Huang,
"Weakly Supervised Natural Language Processing Framework for Abstractive Multi-Document Summarization",
The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), pp1401-1410, 2015. [Link]


- Hongchang Gao, Feiping Nie, Weidong Cai, Heng Huang,
"Robust Capped Norm Nonnegative Matrix Factorization",
The 24th ACM International Conference on Information and Knowledge Management (CIKM 2015), pp871-880, 2015. [Link]


- Siqi Liu, Sidong Liu, Fan Zhang, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng, ADNI,
"Longitudinal Brain MR Retrieval with Diffeomorphic Demons Registration: What Happened to Those Patients with Similar Changes?",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015), pp588-591, 2015. [Link]


- Yang Song, Weidong Cai, Fan Zhang, Heng Huang, Yun Zhou, Dagan Feng,
"Bone Texture Characterization with Fisher Encoding of Local Descriptors",
The IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2015), pp5-8, 2015. [Link]


- Siqi Liu, Nur Hadi, Sidong Liu, Sonia Pujol, Ron Kikinis, Fan Zhang, Dagan Feng, Weidong Cai,
"Content-based Retrieval of Brain Diffusion Magnetic Resonance Image",
The 37th European Conference on Information Retrieval (ECIR 2015) Workshop on Multimodal Retrieval in the Medical Domain, 2015. [PDF]


- Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Muller,
"USYD/HES-SO in the VISCERAL Retrieval Benchmark",
The 37th European Conference on Information Retrieval (ECIR 2015) Workshop on Multimodal Retrieval in the Medical Domain, 2015. [PDF]


- Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng,
"Multi-Phase Feature Representation Learning for Neurodegenerative Disease Diagnosis",
First Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015),
Lecture Notes in Artificial Intelligence 8955, pp350-359, 2015. [PDF]


- Fan Zhang, Yang Song, Weidong Cai, Alex G. Hauptmann, Sidong Liu, Siqi Liu, Dagan Feng, Mei Chen,
"Ranking-based Vocabulary Pruning in Bag-of-Features for Image Retrieval",
First Australasian Conference on Artificial Life and Computational Intelligence (ACALCI 2015),
Lecture Notes in Artificial Intelligence 8955, pp436-445, 2015. [PDF]


- Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Dagan Feng, Mei Chen,
"Large Margin Aggregation of Local Estimates for Medical Image Classification",
The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2014),
Lecture Notes in Computer Science 8674, pp196-203, 2014. [PDF]


- De Wang, Yang Wang, Feiping Nie, Jingwen Yan, Weidong Cai, Andrew J Saykin, Li Shen, Heng Huang,
"Human Connectome Module Pattern Detection Using A New Multi-Graph MinMax Cut Model",
The 17th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2014),
Lecture Notes in Computer Science 8675, pp313-320, 2014. [PDF]


- Weidong Cai, Sidong Liu, Yang Song, Sonia Pujol, Ron Kikinis, Dagan Feng,
"A 3D Difference-of-Gaussian-based Lesion Detector for Brain PET",
IEEE International Symposium on Biomedical Imaging (ISBI 2014), pp677-680, 2014. [Link]


- Weidong Cai, Fan Zhang, Yang Song, Sidong Liu, Lingfeng Wen, Stefan Eberl, Michael Fulham, Dagan Feng,
"Automated Feedback Extraction for Medical Imaging Retrieval",
IEEE International Symposium on Biomedical Imaging (ISBI 2014), pp907-910, 2014. [Link]


- Yang Song, Weidong Cai, Heng Huang, Yun Zhou, Yue Wang, Dagan Feng,
"Boosted Multifold Sparse Representation with Application to ILD Classification",
IEEE International Symposium on Biomedical Imaging (ISBI 2014), pp1023-1026, 2014. [Link]


- Fan Zhang, Weidong Cai, Yang Song, Paul Young, Daniela Traini, Lucy Morgan, Hui-Xin Ong, Lachlan Buddle, Dagan Feng,
"Image-based Ciliary Beating Frequency Estimation for Therapeutic Assessment on Defective Mucociliary Clearance Diseases",
IEEE International Symposium on Biomedical Imaging (ISBI 2014), pp193-196, 2014. [Link]


- Hangyu Che, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng,
"Co-neighbor Multi-view Spectral Embedding for Medical Content-based Retrieval",
IEEE International Symposium on Biomedical Imaging (ISBI 2014), pp911-914, 2014. [Link]


- Siqi Liu, Sidong Liu, Weidong Cai, Sonia Pujol, Ron Kikinis, Dagan Feng,
"Early Diagnosis of Alzheimer's Disease with Deep Learning",
IEEE International Symposium on Biomedical Imaging (ISBI 2014), pp1015-1018, 2014. [Link]


- Fan Zhang, Yang Song, Weidong Cai, Yun Zhou, Michael Fulham, Stefan Eberl, Shimin Shan, Dagan Feng,
"A Ranking-based Lung Nodule Image Classification Method using Unlabeled Image Knowledge",
IEEE International Symposium on Biomedical Imaging (ISBI 2014), pp1356-1359, 2014. [Link]


- Afaf Tareef, Yang Song, Weidong Cai, Dagan Feng, Mei Chen,
"Automated Three-Stage Nucleus and Cytoplasm Segmentation of Overlapping Cells",
The 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), pp865-870, 2014. (Finalist for Best Paper Award) [Link]


- Sidong Liu, Siqi Liu, Sonia Pujol, Ron Kikinis, Dagan Feng, Weidong Cai,
"Propagation Graph Fusion for Multi-Modal Medical Content-based Retrieval",
The 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), pp849-854, 2014. [Link]


- Qing Li, Weidong Cai, Xiaogang Wang, Yun Zhou, Dagan Feng, Mei Chen,
"Medical Image Classification with Convolutional Neural Network",
The 13th International Conference on Control, Automation, Robotics and Vision (ICARCV 2014), pp844-848, 2014. [Link]


- Peng Fu, Changyang Li, Quansen Sun, Weidong Cai, Dagan Feng,
"Image Noise Level Estimation Based on A New Adaptive Superpixel Classification",
The 21st IEEE International Conference on Image Processing (ICIP 2014), pp2617-2621, 2014. [Link]


- Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang,
"New Graph Structured Sparsity Model for Multi-Label Image Annotations",
The IEEE International Conference on Computer Vision (ICCV 2013), pp801-808, 2013. [Link]


- Hua Wang, Feiping Nie, Weidong Cai, Heng Huang,
"Semi-Supervised Robust Dictionary Learning via Efficient L2,0+-Norms Minimization",
The IEEE International Conference on Computer Vision (ICCV 2013), pp1145-1152, 2013. [Link]


- Xiao Cai, Feiping Nie, Weidong Cai, Heng Huang,
"Heterogeneous Image Features Integration via Multi-Modal Semi-Supervised Learning Model",
The IEEE International Conference on Computer Vision (ICCV 2013), pp1737-1744, 2013. [Link]


- Yang Song, Weidong Cai, Heng Huang, Xiaogang Wang, Stefan Eberl, Michael Fulham, Dagan Feng,
"Similarity Guided Feature Labeling for Lesion Detection",
The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013),
Lecture Notes in Computer Science 8149, pp284-291, 2013. (MICCAI Travel Award) [PDF]


- Sidong Liu, Yang Song, Weidong Cai, Sonia Pujol, Ron Kikinis, Xiaogang Wang, Dagan Feng,
"Multifold Bayesian Kernelization in Alzheimer's Diagnosis",
The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013),
Lecture Notes in Computer Science 8150, pp303-310, 2013. (MICCAI Travel Award) [PDF]


- Yang Song, Weidong Cai, Seungil Huh, Mei Chen, Takeo Kanade, Yun Zhou, Dagan Feng,
"Discriminative Data Transform for Image Feature Extraction and Classification",
The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013),
Lecture Notes in Computer Science 8150, pp452-459, 2013. (MICCAI Travel Award) [PDF]


- Heng Huang, Jingwen Yan, Feiping Nie, Jin Huang, Weidong Cai, Andrew J. Saykin, Li Shen,
"A New Sparse Simplex Model for Brain Anatomical and Genetic Network Analysis",
The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013),
Lecture Notes in Computer Science 8150, pp625-632, 2013. [PDF]


- Sidong Liu, Weidong Cai, Yang Song, Sonia Pujol, Ron Kikinis, Dagan Feng,
"A Bag of Semantic Words Model for Medical Content-based Retrieval",
The 16th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2013)
Workshop on Medical Content-Based Retrieval for Clinical Decision Support
, pp6-12, 2013. [PDF]


- Sidong Liu, Lelin Zhang, Weidong Cai, Yang Song, Zhiyong Wang, Lingfeng Wen, Dagan Feng,
"A Supervised Multiview Spectral Embedding Method for Neuroimaging Classification",
The 20th IEEE International Conference on Image Processing (ICIP 2013), pp602-605, 2013. [Link]


- Lelin Zhang, Sidong Liu, Zhiyong Wang, Weidong Cai, Yang Song, Dagan Feng,
"Graph Cuts based Relevance Feedback in Image Retrieval",
The 20th IEEE International Conference on Image Processing (ICIP 2013), pp4358-4362, 2013. [Link]


- Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng,
"Neuroimaging Biomarker based Prediction of Alzheimer's Disease Severity with Optimized Graph Construction",
IEEE International Symposium on Biomedical Imaging (ISBI 2013), pp1324-1327, 2013. [Link]


- Yang Song, Weidong Cai, Yun Zhou, Lingfeng Wen, Dagan Feng,
"Pathology-centric Medical Image Retrieval with Hierarchical Contextual Spatial Descriptor",
IEEE International Symposium on Biomedical Imaging (ISBI 2013), pp202-205, 2013. [Link]


- Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng,
"Multi-channel Brain Atrophy Pattern Analysis in Neuroimaging Retrieval",
IEEE International Symposium on Biomedical Imaging (ISBI 2013), pp206-209, 2013. [Link]


- Yang Song, Weidong Cai, Yun Zhou, Dagan Feng,
"Thoracic Abnormality Detection with Data Adaptive Structure Estimation",
The 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2012),
Lecture Notes in Computer Science 7510, pp74-81, 2012. [PDF]


- Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan 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
, pp1-7, 2012. [PDF]


- Weidong Cai, Yang Song, Dagan Feng,
"Regression and Classification based Distance Metric Learning for Medical Image Retrieval",
IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp1775-1778, 2012. [Link]


- Yang Song, Weidong Cai, Yue Wang, Dagan Feng,
"Location Classification of Lung Nodules with Optimized Graph Construction",
IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp1439-1442, 2012. [Link]


- Yang Song, Weidong Cai, Dagan Feng,
"Global Context Inference for Adaptive Abnormality Detection in PET-CT Images",
IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp482-485, 2012. [Link]


- Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan 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, 2012. [Link]


- Yang Song, Weidong Cai, Dagan Feng,
"Disease-Specific Context Modeling and Retrieval with Fast Structure Localization",
The 12th IEEE Workshop on Mathematical Methods in Biomedical Image Analysis
in conjunction with the IEEE Workshop on the Applications of Computer Vision (WACV / MMBIA 2012)
, pp89-94, 2012. [PDF]


- Yang Song, Weidong Cai, Dagan 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, 2011. [PDF]


- Sidong Liu, Weidong Cai, Lingfeng Wen, Dagan Feng,
"Volumetric Congruent Local Binary Patterns for 3D Neurological Image Retrieval",
The 26th International Conference on Image and Vision Computing New Zealand (IVCNZ2011), pp272-276, 2011. [PDF]


- Yang Song, Weidong Cai, Stefan Eberl, Michael Fulham, Dagan Feng,
"Region and Learning Based Retrieval for Multi-Modality medical Images",
The 8th International Conference on Biomedical Engineering (Biomed 2011), Track 723-063, 2011. [PDF]


- Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael Fulham, Dagan Feng,
"Optimized Pathological and Visual Content-based Neuroimaging Retrieval",
Proceedings of SPIE Medical Imaging (SPIE-MI 2011), Track 7963-23, 2011. [PDF]


- Yang Song, Weidong Cai, Stefan Eberl, Michael Fulham, Dagan Feng,
"Thoracic Image Case Retrieval with Spatial and Contextual Information",
IEEE International symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011), pp1885-1888, 2011.
[Link]


- Sidong Liu, Weidong Cai, Lingfeng Wen, Stefan Eberl, Michael Fulham, Dagan Feng,
"Localized Functional Neuroimaging Retrieval using 3D Discrete Curvelet Transform",
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2011), pp1877-1880, 2011.
[Link]


- Yang Song, Weidong Cai, Stefan Eberl, Michael Fulham, Dagan 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),
Lecture Notes in Computer Science 6893, pp191-198, 2011. [PDF]


 

EDITED BOOKS AND BOOK CHAPTERS:

 

- Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Muller, Shaoting Zhang, Weidong Cai, Dimitrios Metaxas (Eds.),
Medical Computer Vision: Algorithms for Big Data - MCV 2015, ISBN: 978-3-319-42016-5, Springer Switzerland, 2016. (4,450 downloads as of 2017-06-07)


- Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Henning Muller, Shaoting Zhang, Weidong Cai, Dimitrios Metaxas (Eds.),
Medical Computer Vision: Algorithms for Big Data, ISBN: 978-3-319-13971-5, Springer Switzerland, 2014. (15,706 downloads as of 2017-06-07)


- Yang Song, Weidong Cai,
"Handling of Feature Space Complexity for Texture Analysis in Medical Images",
Invited book chapter, in Biomedical Texture Analysis: Fundamentals, Applications, Tools, and Challenges Ahead, Edited by A. Depeursinge, O.S. Al-Kadi, J.R. Mitchell,
Elsevier, 2017. [PDF]


- Fan Zhang, Yang Song, Weidong Cai, Adrien Depeursinge, Henning Muller,
"Text- and Content-based Medical Image Retrievals in the VISCERAL Retrieval Benchmark",
Invited book chapter, in Cloud-Based Benchmarking of Medical Image Analysis, Edited by A. Hanbury, H. Muller, G. Langs,
Springer, 2016. [PDF]


- Yang Song, Weidong Cai, Stefan Eberl, Michael Fulham, Dagan Feng,
"Feature-Centric Lesion Detection and Retrieval in Thoracic Images",
Invited book chapter, in Computer Vision in Medical Imaging, Edited by C. H. Chen,
Volume 2 of Book Series in Computer Vision, pp75-94, World Scientific Publishing, 2014. [PDF]


- Yang Song, Weidong Cai, Heng Huang, Yue Wang, Dagan Feng,
"Context Enhanced Graphical Model for Object Localization in Medical Images",
Invited book chapter, in Medical Computer Vision: Recognition Techniques and Applications in Medical Imaging,
Edited by B.H. Menze, G. Langs, L. Lu, A. Montillo, Z. Tu, A. Criminisi, pp194-205, Springer Berlin Heidelberg, 2013. [PDF]