Please also see my publications at Google Scholar.

Preprints

  1. Long Jin, Zeyu Chen, and Zhuowen Tu, "Object Detection Free Instance Segmentation With Labeling Transformations", arXiv:1611.08991, 2016.
  2. Liming Zhao, Jingdong Wang, Xi Li, Zhuowen Tu, and Wenjun Zeng, "On the Connection of Deep Fusion to Ensembling", arXiv:1611.07718, 2016.
  3. Saining Xie, Ross Girshick, Piotr Dollár, Zhuowen Tu, and Kaiming He, "Aggregated Residual Transformations for Deep Neural Networks", arXiv:1611.05431, 2016.
  4. Qibin Hou, Ming-Ming Cheng, Xiao-Wei Hu, Ali Borji, Zhuowen Tu, and Philip Torr, "Deeply supervised salient object detection with short connections", arXiv:1611.04849, 2016.
  5. Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, and Zhuowen Tu, "Deep FisherNet for Object Classification", arXiv:1608.00182, 2016.
  6. Patrick Gallagher, Shuai Tang, and Zhuowen Tu, "What Happened to My Dog in That Network: Unraveling Top-down Generators in Convolutional Neural Networks", arXiv:1511.07125, 2015.
  7. Patrick Gallagher and Zhuowen Tu, "Properties of Pseudocontractive Updates in Convex Optimization", arXiv:1405.7741, 2014.
Major Conferences

  1. Saining Xie*, Xun Huang*, and Zhuowen Tu, "Top-down Learning for Structured Labeling with Convolutional Pseudoprior", ECCV 2016 (arXiv:1511.07409). (*equal contribution).
  2. Ming-Ming Cheng, Yun  Liu, Qibin Hou, Jiawang  Bian, Philip Torr, Shimin Hu, and Zhuowen Tu, "HFS: Hierarchical Feature Selection for Efficient Image Segmentation", ECCV 2016.
  3. Jameson Merkow, David Kriegman, Alison Marsden, and Zhuowen Tu, "Dense Volume-to-Volume Vascular Boundary Detection", MICCAI 2016. (pdf)
  4. Chen-Yu Lee, Patrick Gallagher, and Zhuowen Tu, "Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree", AISTATS 2016. (arXiv:1509.08985).

  5. Saining Xie and Zhuowen Tu, "Holistically-Nested Edge Detection", ICCV 2015 (Marr Prize Honorable Mention). (pdf) training/testing code and pre-trained models
  6. Chen-Yu Lee*, Saining Xie*, Patrick Gallagher, Zhengyou Zhang, and Zhuowen Tu, "Deeply-Supervised Nets", AISTATS 2015. (*equal contribution)  (oral presentation at the NIPS14 Deep Learning Workshop) (pdf, an early arxiv version) (project page).
  7. Jameson Merkow, Zhuowen Tu, David Kriegman, Alison Marsden, "Structural Edge Detection for Cardiovascular Modeling", MICCAI 2015. (pdf)

  8. Jiajun Wu, Yining Wang, Zhulin Li, and Zhuowen Tu, "Harvesting Motion Patterns in Still Images from the Internet", CogSci 2014. (pdf)
  9. Wei Bi, Liwei Wang, James Kwok, and Zhuowen Tu, "Learning to Predict from Crowdsourced Data", UAI 2014. (pdf)

  10. Bo Wang and Zhuowen Tu, and John Tsotsos, "Dynamic Label Propagation for Semi-supervised Multi-class Multi-label Classification", ICCV 2013. (pdf)
  11. Jun Zhu, Baoyuan Wang, Xiaokang Yang, Wenjun Zhang, and Zhuowen Tu, "Action Recognition with Actons", ICCV 2013. (pdf)
  12. Xinggang Wang, Baoyuan Wang, Xiang Bai, Wenyu Liu, and Zhuowen Tu, "Max-Margin Multiple Instance Dictionary Learning", International Conference on Machine Learning (ICML), Atlanta, June, 2013. (pdf)
  13. Quannan Li, Jingdong Wang, David Wipf, and Zhuowen Tu, "Fixed-Point Model for Structured Labeling", International Conference on Machine Learning (ICML), Atlanta, June, 2013. (pdf) (matlab source code)
  14. Quannan Li, Jiajun Wu, and Zhuowen Tu, "Harvesting Mid-level Visual Concepts from Large-scale Internet Images", CVPR 2013 (pdf) (project page).
  15. Jiayi Ma, Ji Zhao, Jinwen Tian, Zhuowen Tu, and Alan Yuille, "Robust Estimation of Nonrigid Transformation for Point Set Registration", CVPR 2013 (pdf).
  16. Bo Wang and Zhuowen Tu, "Sparse Subspace Denoising for Image Manifolds", CVPR 2013. (pdf)

  17. Yan Xu, Jianwen Zhang, Eric Chang, Maode Lai, and Zhuowen Tu, "Contexts-Constrained Multiple Instance Learning for Histopathology Image Segmentation", MICCAI 2012. (pdf)
  18. Liwei Wang, Xiong Li, Zhuowen Tu, and Jiaya Jia, "Discriminative Clustering via Generative Feature Mapping", AAAI 2012. (pdf)
  19. Bo Wang and Zhuowen Tu, "Affinity Learning via Self-diffusion for Image Segmentation and Clustering", CVPR 2012. (pdf)
  20. Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, and Zhuowen Tu, "Unsupervised Metric Fusion by Cross Diffusion", CVPR 2012. (pdf)
  21. Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric Chang, and Zhuowen Tu, "Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning", CVPR 2012. (pdf) (project page)
  22. Yan Xu*, Jun-Yan Zhu*, Eric Chang, and Zhuowen Tu, "Multiple Clustered Instance Learning for Histopathology Cancer Image Segmentation, Clustering, and Classification", CVPR 2012 (* equal contribution). (pdf) (code)
  23. Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, and Zhuowen Tu, "Detecting Texts of Arbitrary Orientations in Natural Images", CVPR 2012. (pdf) (data)
  24. Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, and Zhuowen Tu, "Exemplar-Based Human Action Pose Correction and Tagging", CVPR 2012. (pdf)
  25. Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, and Shipeng Li, "Scalable k-NN graph construction for Visual Descriptors", CVPR 2012. (pdf)

  26. Jiayan Jiang, Bo Wang, and Zhuowen Tu, "Unsupervised Metric Learning by Self-Smoothing Operator", ICCV 2011. (pdf)
  27. Yi Hong, Quannan Li, Jiayan Jiang, and Zhuowen Tu, "Learning A Mixture of Sparse Distance Metrics for Classification and Dimensionality Reduction", ICCV 2011. (pdf)
  28. B. Speier, J.E. Iglesias, L. El-Kara, Z. Tu, and C.W. Arnold. "Robust Skull Stripping of Clinical Glioblastoma Multiforme Data'', MICCAI 2011. (pdf)
  29. J. E. Iglesias, Jiayan Jiang, Cheng-Yi Liu, and Zhuowen Tu, "Classification of Alzheimer's Disease Using a Self-Smoothing Operator", MICCAI 2011. (pdf)
  30. J. E. Iglesias, E. Konukoglu, A. Montillo, Z. Tu, and A. Criminisi, "Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning", Information Processing in Medical Imaging (IPMI), July, 2011.

  31. Xiang Bai, Bo Wang, Xinggang Wang, Wenyu Liu, and Zhuowen Tu, "Co-Transduction for Shape Retrieval", ECCV 2010. (pdf)
  32. Bo Wang, Xiang Bai, Xinggang Wang, Wenyu Liu, and Zhuowen Tu, "Object Recognition Using Junctions", ECCV 2010. (pdf)
  33. Juan Eugenio Iglesias, Cheng-Yi Liu, Paul Thompson, and Zhuowen Tu, "Agreement-Based Semi-Supervised Learning for Skull Stripping", MICCAI, 2010. (pdf)
  34. Juan Eugenio Iglesias, Ivo Dinov, Jaskaran Singh, Gregory Tong, and Zhuowen Tu, "Synthetic MRI signal standardization: application to multi-atlas analysis", MICCAI, 2010. (pdf)
  35. Xiang Bai, Xinggang Wang, Wenyu Liu, Longin Jan Latecki, and Zhuowen Tu, "Active Skeleton for Non-rigid Object Detection", ICCV 2009 (pdf).
  36. Jiayan Jiang and Zhuowen Tu, "Efficient Scale Space Auto-context for Image Segmentation and Labeling", CVPR 2009 (pdf).
  37. Xiang Bai, Quannan Li, Longin Jan Latecki, Wenyu Liu, and Zhuowen Tu, "Shape Band: A Deformable Object Detection Approach", CVPR 2009(pdf).
  38. Piotr Dollár, Zhuowen Tu, Pietro Perona, and Serge Belongie, "Integral Channel Features", Proc. of British Machine Vision Conference (BMVC), 2009 (pdf).
  39. Zhuowen Tu, "Auto-context and Its Application to High-level Vision Tasks", CVPR, 2008 (pdf). (now matlab code included in the fixed point package)
  40. Jiayan Jiang, Songfeng Zheng, Arthur Toga, and Zhuowen Tu, "Learning Based Coarse-to-fine Image Registration", CVPR 2008 (pdf).
  41. Jason Corso, Alan Yuille, and Zhuowen Tu, "Graph-Shifts: Natural Images Labeling by Dynamic Hierarchical Computing", CVPR 2008 (pdf).
  42. Xingwei Yang, Xiang Bai, Longin Jan Latecki, and Zhuowen Tu, "Improving Shape Retrieval by Learning Graph Transduction", ECCV 2008 (pdf).
  43. Piotr Dollár, Boris Babenko, Serge Belongie, Pietro Perona, and Zhuowen Tu, "Multiple Component Learning for Object Detection", ECCV 2008 (pdf).
  44. Zhuowen Tu, "Learning Generative Models via Discriminative Approaches", IEEE Computer Vision and Pattern Recognition (CVPR), June, 2007. (pdf)
  45. Songfeng Zheng, Zhuowen Tu, and Alan Yuille, "Detecting Object Boundaries Using Low-, Mid-, and High-Level Information", IEEE Computer Vision and Pattern Recognition (CVPR), June, 2007. (pdf)
  46. Piotr Dollár, Zhuowen Tu, Hai Tao and Serge Belongie, "Feature Mining for Image Classification", IEEE Computer Vision and Pattern Recognition (CVPR), June, 2007. (pdf)
  47. Jason Corso, Zhuowen Tu, Alan Yuille, and Arthur Toga, "Likelihood Shift Graphs for Efficient Energy Minimization", Information Processing in Medical Imaging (IPMI), June, 2007. (pdf)
  48. Zhuowen Tu, Xiang Sean Zhou, Adrian Barbu, Luca Bogoni, and Dorin Comaniciu, "Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment", IEEE Computer Vision and Pattern Recognition (CVPR), June, 2006. (pdf)
  49. Piotr Dollár, Zhuowen Tu, and Serge Belongie, "Supervised Learning of Edges and Object Boundaries", IEEE Computer Vision and Pattern Recognition (CVPR), June, 2006. (pdf)
  50. Zhuowen Tu, Xiang Sean Zhou, Dorin Comaniciu, and Luca Bogoni, "A Learning Based Approach for 3D Segmentation and Colon Detagging", 9th European Conf. on Computer Vision (ECCV), May 2006. (pdf)
  51. Zhuowen Tu, "An Integrated Frmework for Image Segmentation and Perceptual Grouping", 10th IEEE International Conference on Computer Vision (ICCV), Oct. 2005 (pdf).
  52. Zhuowen Tu, "Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering", 10th IEEE International Conf. on Computer Vision (ICCV), Oct. 2005 (pdf).
  53. Zhuowen Tu, and Alan Yuille "Shape Matching and Recognition--Using Generative Models and Informative Features", 8th European Conf. on Computer Vision (ECCV), May 2004 (pdf).
  54. Zhuowen Tu, Xiangrong Chen, Alan Yuille, and Song-Chun Zhu, "Image Parsing: Segmentation, Detection, and Object Recognition", 9th IEEE International Conf. on Computer Vision (ICCV), Oct. 2003 (Marr Prize). (pdf).
  55. Zhuowen Tu and Song-Chun Zhu, "Parsing Images into Region and Curve Processes", 7th European Conf. on Computer Vision (ECCV), May, 2002. (pdf)
  56. Feng Han, Zhuowen Tu, and Song-Chun Zhu, "A Stochastic Algorithm for Parsing and reconstructing 3D Scenes", 7th European Conf. on Computer Vision (ECCV), May, 2002. (pdf)
  57. Zhuowen Tu, Song-Chun Zhu, and Harry Shum, "Image Segmentation by Data Driven Markov Chain Monte Carlo", 8th IEEE International Conf. on Computer Vision (ICCV), July 2001. (pdf)
  58. Song-Chun Zhu, Rong Zhang, and Zhuowen Tu, "Integrating Top-down/Bottom-up for Object Recognition by Data Driven Markov Chain Monte Carlo", IEEE Computer Vision and Pattern Recognition (CVPR), July 2000. (pdf)

  Journals
  1. Saining Xie and Zhuowen Tu, "Holistically-Nested Edge Detection", International Journal of Computer Vision (to appear), 2017. (pdf)
  2. Jun-Yan Zhu, Jiajun Wu, Yan Xu, Eric Chang, and Zhuowen Tu, "Unsupervised Object Class Discovery via Saliency-Guided Multiple Class Learning", IEEE Trans. on Pattern Analysis and Machine Intelligence, 2015. (pdf) (project page).
  3. B. Wang, A. Mezlini, F. Demir, M. Fiume, Z. Tu, M. Brudno, B. Haibe-Kains, and A. Goldenberg, "Similarity Network Fusion for Aggregating Data Types on a Genomic Scale". Nature Methods, doi:10.1038/nmeth.2810, Jan. 2014. (link)
  4. Yan Xu, Jun-Yan Zhu, Eric I-Chao Chang, Maode Lai, and Zhuowen Tu, "Weakly Supervised Histopathology Cancer Image Segmentation and Classification", Medical Image Analysis, 2014. (pdf) (project page) (code)
  5. Jiayi Ma, Ji Zhao, Jinwen Tian, Alan Yuille, and Zhuowen Tu, "Robust Point Matching via Vector Field Consensus", IEEE Tran. on Image Processing, vol. 23, no. 4, April, 2014. (pdf)
  6. Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, and Zhuowen Tu, "Robust Subspace Discovery via Relaxed Rank Minimization", Neural Computation, 2014 (pdf).
  7. Jiayi Ma, Ji Zhao, Jianwen Tian, Xiang Bai, and Zhuowen Tu, "Regularized Vector Field Learning with Sparse Approximation for Mismatch Removal", Pattern Recognition, vol. 46, no. 12, pp. 3519-3532, Dec., 2013 (pdf).
  8. Cong Yao, Xin Zhang, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu, "Rotation-invariant Features for Multi-oriented Text Detection in Natural Images", PloS ONE, Aug. 5, 2013 (pdf).
  9. Cheng-Yi Liu, Juan Eugenio Iglesias, and Zhuowen Tu, "BrainParser: Integrated Deformable Templates and Discriminative Models for Robust 3D Brain MRI Segmentation", Neuroinformatics, July, 2013 (pdf).
  10. Huazhu Fu, Xiaochun Cao, and Zhuowen Tu, "Cluster-based Co-saliency Detection", IEEE Tran. on Image Processing, vol. 22, no. 10, pp 3766-3778, Oct., 2013 (pdf) .
  11. Y Xu, Y Wang, J Liu, Z Tu, JT Sun, J Tsujii, E Chang, "Suicide note sentiment classification: a supervised approach augmented by web data", Biomedical informatics insights 5 (Suppl. 1), 31, 2012 (pdf).
  12. Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric Chang, "A Classification Approach to Coreference in Discharge Summaries: 2011 I2b2 Challenge", J. of the American Medical Informatics Association, doi:10.1136/amiajnl-2011-000734, 2012 (pdf).
  13. Xiang Bai, Bo Wang, Cong Yao, Wenyu Liu, and Zhuowen Tu, "Co-Transduction for Shape Retrieval", IEEE Trans. on Image Processing, vol. 21, no. 5, pp. 2747-2757, May, 2012. (pdf)
  14. Juan Eugenio Iglesias, Paul M. Thompson, Chen-Yi Liu and Zhuowen Tu, "Fast Approximate Stochastic Tractography", Neuroinformatics, 10(1): 5-17, Jan. 2012. (pdf)
  15. Juan Eugenio Iglesias, Chen-Yi Liu, Paul M. Thompson, and Zhuowen Tu, "Robust Brain Extraction Across Datasets and Comparison with Publicly Available Methods", IEEE Trans. on Medical Imaging, vol. 30, no. 9, pp. 1617-34, Sept., 2011. (pdf) (software)
  16. Juan Eugenio Iglesias, Paul M. Thompson, and Zhuowen Tu, "Modeling diffusion-weighted MRI as a spatially-variant Gaussian mixture: application to image denoising", Medical Physics, vol. 38, no. 7, pp. 4350-43064, July, 2011. (pdf)
  17. S. G Costafreda, I. D Dinov, Z. Tu, Y. Shi, C.-Y. Liu, I. Kloszewska, P. Mecocci, H. Soininen, M. Tsolaki, B. Vellas, L.-O. Wahlund, C. Spenger, A. W Toga, S. Lovestone, A. Simmons, "Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment", NeuroImage, Jan. 2011. (pdf)
  18. Songfeng Zheng, Alan Yuille, and Zhuowen Tu, "Detecting Object Boundaries Using Low-, Mid-, and High-Level Information", Journal of Computer Vision and Image Understanding, vol. 114, no. 19, Oct. 2010. (pdf)
  19. Zhuowen Tu and Xiang Bai, "Auto-context and Its Application to High-level Vision Tasks and 3D Brain Image Segmentation", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 21, no. 10, pp. 1744-1757, 2010. (pdf)
  20. Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity Green, Arthur W. Toga, and Paul M. Thompson, "Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease through Automated Hippocampal Segmentation, IEEE Trans. on Medical Imaging, vol. 29, no. 1, pp. 30-43, Jan. 2010 (pdf).
  21. Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu Liu, and Zhuowen Tu, "Learning Context Sensitive Shape Similarity by Graph Transduction", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 32, no. 5, pp. 861-874, May, 2010. (pdf)
  22. S. Fears, W. Melega, S. K. Service, C. Lee, K. Chen, Z. Tu, M. J. Jorgensen, L. A. Fairbanks, N. Freimer, R. P. Woods, "Identifying Heritable Brain Phenotypes in an Extended Pedigree of Vervet Monkeys”, Journal of Neuroscience, vol. 29, no. 9, pp. 2867-2875, 2009. (pdf)
  23. Y. Shi, Z. Tu, A. L. Reiss, R. Dutton, A. Lee, A.M. Galaburda, I. Dinov, P. Thompson, A. Toga, "Joint Sulcal Detection on Cortical Surfaces with Graphical Models and Boosted Priors", IEEE Trans. on Medical Imaging, vol. 28, no. 3, pp. 361-373, 2009. (pdf)
  24. J. H. Morra, Z. Tu, L. G. Apostolova, A. E. Greena, C. Avedissiana, S. K. Madsen, N. Parikshak, X. Hua, A. W. Toga, C. R. JackJrc, M. W. Weiner, P. M. Thompson, "Validation of a Fully Automated 3D Hippocampal Segmentation Method Using Subjects with Alzheimer's Disease, Mild Cognitive Impairment, and Elderly Controls", NeuroImge, Oct. 15; (43(1), pp. 59-68, 2008. (pdf)
  25. Zhuowen Tu, Katherin Narr, Piotr Dollar, Iov Dinov, Paul Thompson, and Arthur Toga, "Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models", IEEE Trans. on Medical Imaging, vol. 27, no. 4, pp. 495-508, April, 2008. (pdf)
  26. Zhuowen Tu, Songfeng Zheng, and Alan Yuille, "Shape Matching and Registration by Data-driven EM", Journal of Computer Vision and Image Understanding, vol. 109, pp. 290-304, 2008. (pdf)
  27. Y. Shi, P. M. Thompson, G. I. De Zubicaray, S. E. Rose, Z. Tu, I. Dinov, and A. Toga, "Direct Mapping of Hippocampal surfaces with Intrinsic Shape Context", Neuroimage, vol. 37, no. 3, pp. 792-807, Sep., 2007.
  28. Z. Tu, S. Zheng, , A. Yuille, A. Reiss, R. Dutton, A.Lee, A.Galaburda, I. Dinov, P. Thompson, A. Toga, "Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach", IEEE Trans. on Medical Imaging, vol. 26, no. 4, April, pp. 541-552, 2007. (pdf)
  29. Zhuowen Tu and Song-Chun Zhu, "Parsing Images into Regions, Curves, and Curve Groups", International Journal of Computer Vision, vol. 69, no. 2, pp. 223-249, Aug., 2006. (pdf)
  30. Zhuowen Tu, Xiangrong Chen, Alan Yuille, and Song-Chun Zhu, "Image Parsing: Unifying Segmentation, Detection, and Object Recognition", International Journal of Computer Vision, vol. 63, no. 2, pp. 113-140, July, 2005. (pdf)
  31. Feng Han, Zhuowen Tu, and Song-Chun Zhu, "Range Image Segmentation by an Efficient Jump-Diffusion Method", IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 26, no. 9, pp. 1138-1153, Sept. 2004. (pdf)
  32. Zhuowen Tu and Song-Chun Zhu, "Image Segmentation by Data-Driven Markov Chain Monte Carlo", IEEE Trans. on Pattern Analysis and Machine Intelligence, Vol. 24, No. 5, pp. 657-673,May, 2002. (pdf)
  33. Zhuowen Tu and Ronxing Li, "A Framework for Automatic Recognition of Spatial Features from Mobile Mapping Imagery", Journal of Photogrammetric Engineering and Remote Sensing, Vol. 68, No. 3, March, 2002.
Other Refereed Conferences and Workshops
  1. Jiajun Wu, Jun-yan Zhu, and Zhuowen Tu, "Reverse Image Segmentation: A High-Level Solution to a Low-Level Task", Proc. of  British Machine Vision Conference (BMVC), 2014.
  2. Weichao Qiu, Xinggang Wang, Xiang Bai, Alan Yuille, and Zhuowen Tu, "Scale-Space Sift Flow", Proc. of WACV, 2014 (pdf).
  3. Boris Babenko, Piotr Dollár, Zhuowen Tu, and Serge Belongie, "Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning", RealFaces, Marseille, France, 2008. (pdf)
  4. Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, and Zhuowen Tu, "Disagreement-Based Multi-System Tracking", Workshop of Detection and Tracking in Challenging Environments, 2012. (pdf)
  5. Quannan Li, Cong Yao, Liwei Wang, and Zhuowen Tu, "Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification", Workshop of Medical Computer Vision at CVPR 2012. (pdf) (source code)
  6. Cheng-Yi Liu, J.E. Iglesias, and Zhuowen Tu, "Pictorial Multi-atlas Segmentation of Brain MRI", MMBIA 2012. (pdf)
  7. Juan Eugenio Iglesias, Cheng-Yi Liu, Paul Thompson, and Zhuowen Tu, "Discretizing Stochastic Tractography: A Fast Implementation", IEEE Int'l Symposium on Biomedical Imaging (ISBI), 2010 (pdf).
  8. Cheng-Yi Liu, Juan Eugenio Iglesias, Arthur Toga, and Zhuowen Tu, "Fusing Adaptive Atlas and Informative Features for Robust 3D Brain Image Segmentation", IEEE Int'l Symposium on Biomedical Imaging (ISBI), 2010 (pdf).
  9. Juan Eugenio Iglesias, Paul Thompson, and Zhuowen Tu, "A spatially variant mixture model for diffusion weighted MRI: application to image denoising", MICCAI, workshop of Probabilistic Models for Medical Image Analysis, 2009. (pdf).
  10. Xiang Bai, Wenyu Liu, and Zhuowen Tu, "Integrating Contour and Skeleton for Shape Classification", workshop on Non-Rigid Shape Analysis and Deformable Image Alignment, ICCV 2009. (pdf)