Zhuowen Tu

Bjoern H. Menze, Georg Langs, Le Lu, Albert Montillo, Zhuowen Tu, Antonio Criminisi (Eds.): Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - Second International MICCAI Workshop, MCV 2012, Nice, France, October 5, 2012, Revised Selected Papers. Lecture Notes in Computer Science 7766, Springer 2013, isbn 978-3-642-36619-2

Yan Xu, Jiahua Liu, Jiajun Wu, Yue Wang, Zhuowen Tu, Jian-Tao Sun, Junichi Tsujii, Eric I.-Chao Chang: A classification approach to coreference in discharge summaries: 2011 i2b2 challenge. JAMIA 19(5): 897-905 (2012)

Juan Eugenio Iglesias, Paul M. Thompson, Cheng-Yi Liu, Zhuowen Tu: Fast Approximate Stochastic Tractography. Neuroinformatics 10(1): 5-17 (2012)

Xiang Bai, Bo Wang, Cong Yao, Wenyu Liu, Zhuowen Tu: Co-Transduction for Shape Retrieval. IEEE Transactions on Image Processing 21(5): 2747-2757 (2012)

Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia: Discriminative Clustering via Generative Feature Mapping. AAAI 2012

Xinggang Wang, Zhengdong Zhang, Yi Ma, Xiang Bai, Wenyu Liu, Zhuowen Tu: One-Class Multiple Instance Learning via Robust PCA for Common Object Discovery. ACCV (1) 2012: 246-258

Quannan Li, Xinggang Wang, Wei Wang, Yuan Jiang, Zhi-Hua Zhou, Zhuowen Tu: Disagreement-Based Multi-system Tracking. ACCV Workshops (2) 2012: 320-334

Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu: Randomness and sparsity induced codebook learning with application to cancer image classification. CVPR Workshops 2012: 16-23

Yan Xu, Jun-Yan Zhu, Eric I.-Chao Chang, Zhuowen Tu: Multiple clustered instance learning for histopathology cancer image classification, segmentation and clustering. CVPR 2012: 964-971

Cong Yao, Xiang Bai, Wenyu Liu, Yi Ma, Zhuowen Tu: Detecting texts of arbitrary orientations in natural images. CVPR 2012: 1083-1090

Jing Wang, Jingdong Wang, Gang Zeng, Zhuowen Tu, Rui Gan, Shipeng Li: Scalable k-NN graph construction for visual descriptors. CVPR 2012: 1106-1113

Wei Shen, Ke Deng, Xiang Bai, Tommer Leyvand, Baining Guo, Zhuowen Tu: Exemplar-based human action pose correction and tagging. CVPR 2012: 1784-1791

Bo Wang, Zhuowen Tu: Affinity learning via self-diffusion for image segmentation and clustering. CVPR 2012: 2312-2319

Bo Wang, Jiayan Jiang, Wei Wang, Zhi-Hua Zhou, Zhuowen Tu: Unsupervised metric fusion by cross diffusion. CVPR 2012: 2997-3004

Jun-Yan Zhu, Jiajun Wu, Yichen Wei, Eric I.-Chao Chang, Zhuowen Tu: Unsupervised object class discovery via saliency-guided multiple class learning. CVPR 2012: 3218-3225

Quannan Li, Cong Yao, Liwei Wang, Zhuowen Tu: Randomness and Sparsity Induced Codebook Learning with Application to Cancer Image Classification. MCV 2012: 181-193

Yan Xu, Jianwen Zhang, Eric I.-Chao Chang, Maode Lai, Zhuowen Tu: Context-Constrained Multiple Instance Learning for Histopathology Image Segmentation. MICCAI (3) 2012: 623-630

Sergi G. Costafreda, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Cheng-Yi Liu, Iwona Kloszewska, Patrizia Mecocci, Hilkka Soininen, Magda Tsolaki, Bruno Vellas, Lars-Olof Wahlund, Christian Spenger, Arthur W. Toga, Simon Lovestone, Andrew Simmons: Automated hippocampal shape analysis predicts the onset of dementia in mild cognitive impairment. NeuroImage 56(1): 212-219 (2011)

Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thompson, Zhuowen Tu: Robust Brain Extraction Across Datasets and Comparison With Publicly Available Methods. IEEE Trans. Med. Imaging 30(9): 1617-1634 (2011)

Jiayan Jiang, Bo Wang, Zhuowen Tu: Unsupervised metric learning by Self-Smoothing Operator. ICCV 2011: 794-801

Yi Hong, Quannan Li, Jiayan Jiang, Zhuowen Tu: Learning a mixture of sparse distance metrics for classification and dimensionality reduction. ICCV 2011: 906-913

Juan Eugenio Iglesias, Ender Konukoglu, Albert Montillo, Zhuowen Tu, Antonio Criminisi: Combining Generative and Discriminative Models for Semantic Segmentation of CT Scans via Active Learning. IPMI 2011: 25-36

Juan Eugenio Iglesias, Jiayan Jiang, Cheng-Yi Liu, Zhuowen Tu: Classification of Alzheimer's Disease Using a Self-Smoothing Operator. MICCAI (3) 2011: 58-65

William Speier, Juan Eugenio Iglesias, Leila El-Kara, Zhuowen Tu, Corey W. Arnold: Robust Skull Stripping of Clinical Glioblastoma Multiforme Data. MICCAI (3) 2011: 659-666

Björn H. Menze, Georg Langs, Zhuowen Tu, Antonio Criminisi (Eds.): Medical Computer Vision. Recognition Techniques and Applications in Medical Imaging - International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers. Lecture Notes in Computer Science 6533, Springer 2011, isbn 978-3-642-18420-8

Songfeng Zheng, Alan L. Yuille, Zhuowen Tu: Detecting object boundaries using low-, mid-, and high-level information. Computer Vision and Image Understanding 114(10): 1055-1067 (2010)

Xiang Bai, Xingwei Yang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu: Learning Context-Sensitive Shape Similarity by Graph Transduction. IEEE Trans. Pattern Anal. Mach. Intell. 32(5): 861-874 (2010)

Zhuowen Tu, Xiang Bai: Auto-Context and Its Application to High-Level Vision Tasks and 3D Brain Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 32(10): 1744-1757 (2010)

Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson: Comparison of AdaBoost and Support Vector Machines for Detecting Alzheimer's Disease Through Automated Hippocampal Segmentation. IEEE Trans. Med. Imaging 29(1): 30-43 (2010)

Bo Wang, Xiang Bai, Xinggang Wang, Wenyu Liu, Zhuowen Tu: Object Recognition Using Junctions. ECCV (5) 2010: 15-28

Xiang Bai, Bo Wang, Xinggang Wang, Wenyu Liu, Zhuowen Tu: Co-transduction for Shape Retrieval. ECCV (3) 2010: 328-341

Cheng-Yi Liu, Juan Eugenio Iglesias, Arthur W. Toga, Zhuowen Tu: Fusing adaptive atlas and informative features for robust 3D brain image segmentation. ISBI 2010: 848-851

Juan Eugenio Iglesias, Paul Thompson, Cheng-Yi Liu, Zhuowen Tu: Discretizing stochastic tractography: a fast implementation. ISBI 2010: 1381-1384

Juan Eugenio Iglesias, Ivo D. Dinov, Jaskaran Singh, Gregory Tong, Zhuowen Tu: Synthetic MRI Signal Standardization: Application to Multi-atlas Analysis. MICCAI (3) 2010: 81-88

Juan Eugenio Iglesias, Cheng-Yi Liu, Paul M. Thompson, Zhuowen Tu: Agreement-Based Semi-supervised Learning for Skull Stripping. MICCAI (3) 2010: 147-154

Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Xue Hua, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson: Corrigendum to "Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease, mild cognitive impairment, and elderly controls" [NeuroImage 43 (2008) 59-68]. NeuroImage 44(4): 1439 (2009)

Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga: Joint Sulcal Detection on Cortical Surfaces With Graphical Models and Boosted Priors. IEEE Trans. Med. Imaging 28(3): 361-373 (2009)

Piotr Dollár, Zhuowen Tu, Pietro Perona, Serge Belongie: Integral Channel Features. BMVC 2009: 1-11

Xiang Bai, Quannan Li, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu: Shape band: A deformable object detection approach. CVPR 2009: 1335-1342

Jiayan Jiang, Zhuowen Tu: Efficient scale space auto-context for image segmentation and labeling. CVPR 2009: 1810-1817

Xiang Bai, Xinggang Wang, Longin Jan Latecki, Wenyu Liu, Zhuowen Tu: Active skeleton for non-rigid object detection. ICCV 2009: 575-582

Bin Dong, Yu Mao, Ivo D. Dinov, Zhuowen Tu, Yonggang Shi, Yalin Wang, Arthur W. Toga: Wavelet-Based Representation of Biological Shapes. ISVC (1) 2009: 955-964

Jonathan H. Morra, Zhuowen Tu, Arthur W. Toga, Paul M. Thompson: Lossless Online Ensemble Learning (LOEL) and Its Application to Subcortical Segmentation. MICCAI (1) 2009: 432-440

Zhuowen Tu, Songfeng Zheng, Alan L. Yuille: Shape matching and registration by data-driven EM. Computer Vision and Image Understanding 109(3): 290-304 (2008)

Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Xue Hua, Arthur W. Toga, Clifford R. Jack Jr., Michael W. Weiner, Paul M. Thompson: Validation of a fully automated 3D hippocampal segmentation method using subjects with Alzheimer's disease mild cognitive impairment, and elderly controls. NeuroImage 43(1): 59-68 (2008)

Zhuowen Tu, Katherine Narr, Piotr Dollár, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga: Brain Anatomical Structure Segmentation by Hybrid Discriminative/Generative Models. IEEE Trans. Med. Imaging 27(4): 495-508 (2008)

Jason J. Corso, Alan L. Yuille, Zhuowen Tu: Graph-shifts: Natural image labeling by dynamic hierarchical computing. CVPR 2008

Jiayan Jiang, Songfeng Zheng, Arthur W. Toga, Zhuowen Tu: Learning based coarse-to-fine image registration. CVPR 2008

Zhuowen Tu: Auto-context and its application to high-level vision tasks. CVPR 2008

Piotr Dollár, Boris Babenko, Serge J. Belongie, Pietro Perona, Zhuowen Tu: Multiple Component Learning for Object Detection. ECCV (2) 2008: 211-224

Xingwei Yang, Xiang Bai, Longin Jan Latecki, Zhuowen Tu: Improving Shape Retrieval by Learning Graph Transduction. ECCV (4) 2008: 788-801

Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Christina Avedissian, Sarah K. Madsen, Neelroop Parikshak, Xue Hua, Arthur W. Toga, Clifford R. Jack, Norbert Schuff, Michael Weiner, Paul M. Thompson: Mapping hippocampal degeneration in 400 subjects with a novel automated segmentation approach. ISBI 2008: 336-339

Jason J. Corso, Zhuowen Tu, Alan L. Yuille: MRF Labeling with a Graph-Shifts Algorithm. IWCIA 2008: 172-184

Jonathan H. Morra, Zhuowen Tu, Liana G. Apostolova, Amity E. Green, Arthur W. Toga, Paul M. Thompson: Automatic Subcortical Segmentation Using a Contextual Model. MICCAI (1) 2008: 194-201

Zhuowen Tu, Songfeng Zheng, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga: Automated Extraction of the Cortical Sulci Based on a Supervised Learning Approach. IEEE Trans. Med. Imaging 26(4): 541-552 (2007)

Piotr Dollár, Zhuowen Tu, Hai Tao, Serge Belongie: Feature Mining for Image Classification. CVPR 2007

Zhuowen Tu: Learning Generative Models via Discriminative Approaches. CVPR 2007

Songfeng Zheng, Zhuowen Tu, Alan L. Yuille: Detecting Object Boundaries Using Low-, Mid-, and High-level Information. CVPR 2007

Yonggang Shi, Zhuowen Tu, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Ivo D. Dinov, Paul M. Thompson, Arthur W. Toga: Joint Sulci Detection Using Graphical Models and Boosted Priors. IPMI 2007: 98-109

Jason J. Corso, Zhuowen Tu, Alan L. Yuille, Arthur W. Toga: Segmentation of Sub-cortical Structures by the Graph-Shifts Algorithm. IPMI 2007: 183-197

Zhuowen Tu, Arthur W. Toga: Towards Whole Brain Segmentation by a Hybrid Model. MICCAI (2) 2007: 169-177

Zhuowen Tu, Song Chun Zhu: Parsing Images into Regions, Curves, and Curve Groups. International Journal of Computer Vision 69(2): 223-249 (2006)

Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. Toward Category-Level Object Recognition 2006: 545-576

Zhuowen Tu, Xiang Sean Zhou, Luca Bogoni, Adrian Barbu, Dorin Comaniciu: Probabilistic 3D Polyp Detection in CT Images: The Role of Sample Alignment. CVPR (2) 2006: 1544-1551

Piotr Dollár, Zhuowen Tu, Serge Belongie: Supervised Learning of Edges and Object Boundaries. CVPR (2) 2006: 1964-1971

Zhuowen Tu, Xiang Zhou, Dorin Comaniciu, Luca Bogoni: A Learning Based Approach for 3D Segmentation and Colon Detagging. ECCV (3) 2006: 436-448

Songfeng Zheng, Zhuowen Tu, Alan L. Yuille, Allan L. Reiss, Rebecca A. Dutton, Agatha D. Lee, Albert M. Galaburda, Paul M. Thompson, Ivo D. Dinov, Arthur W. Toga: A Learning Based Algorithm for Automatic Extraction of the Cortical Sulci. MICCAI (1) 2006: 695-703

Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. International Journal of Computer Vision 63(2): 113-140 (2005)

Zhuowen Tu: An Integrated Framework for Image Segmentation and Perceptual Grouping. ICCV 2005: 670-677

Zhuowen Tu: Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering. ICCV 2005: 1589-1596

Feng Han, Zhuowen Tu, Song Chun Zhu: Range Image Segmentation by an Effective Jump-Diffusion Method. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1138-1153 (2004)

Zhuowen Tu, Alan L. Yuille: Shape Matching and Recognition - Using Generative Models and Informative Features. ECCV (3) 2004: 195-209

Zhuowen Tu, Xiangrong Chen, Alan L. Yuille, Song Chun Zhu: Image Parsing: Unifying Segmentation, Detection, and Recognition. ICCV 2003: 18-25

Zhuowen Tu, Song Chun Zhu: Image Segmentation by Data-Driven Markov Chain Monte Carlo. IEEE Trans. Pattern Anal. Mach. Intell. 24(5): 657-673 (2002)

Zhuowen Tu, Song Chun Zhu: Parsing Images into Region and Curve Processes. ECCV (3) 2002: 393-407

Feng Han, Zhuowen Tu, Song Chun Zhu: A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction. ECCV (3) 2002: 502-516

Zhuowen Tu, Song Chun Zhu, Heung-Yeung Shum: Image Segmentation by Data Driven Markov Chain Monte Carlo. ICCV 2001: 131-138

Song Chun Zhu, Rong Zhang, Zhuowen Tu: Integrating Bottom-Up/Top-Down for Object Recognition by Data Driven Markov Chain Monte Carlo. CVPR 2000: 1738-1745