Publications

 


[Journal papers[Book chapters] [Conference papers] [Dissertation] [Reports]


 

Journal Papers

H. Li, X. Huang, L. He, ``Object Matching Using a Locally Affine Invariant and Linear Programming Techniques,'' to appear in IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2012.

E. Kim, X. Huang, G. Tan, ``Markup SVG - An Online Content Aware Image Abstraction and Annotation Tool,'' In IEEE Trans. on Multimedia (TMM), 13(5):993-1006, 2011.

T. Shen, H. Li, X. Huang, ``Active Volume Models for Medical Image Segmentation,'' In IEEE Trans. on Medical Imaging (TMI), 30(3):774-791, 2011.

H. Li, T. Shen, X. Huang, ``Approximately Global Optimization for Robust Alignment of Generalized Shapes,'' In IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 33(6):1116-1131, 2011.

W. Wang, X. Huang, A. Esmaili, ``Texture Based Foam Segmentation and Analysis,'' In Industrial & Engineering Chemistry Research, Vol. 50, pp. 6071-6081, 2011.

M. B. Smith, H. Li, T. Shen, X. Huang, E. Yusuf, D. Vavylonis, ``Segmentation and Tracking of Cytoskeletal Filaments using Open Active Contours,'' In Cytoskeleton, 67(11): 693-705, 2010.

M. Cheng, F. L. Zhang, N. J. Mitra, X. Huang, S. M. Hu, ``RepFinder: Finding Approximately Repeated Scene Elements for Image Editing,'' In ACM Trans. on Graphics, Vol. 29, No. 4, 2010. (Presented at SIGGRAPH 2010)

Y. Zhu, X. Huang, W. Wang, D. Lopresti, L. R. Long, S. Antani, Z. Xue, G. Thoma, “Balancing the Role of Priors in Multi-Observer Segmentation Evaluation,” In Journal of Signal Processing Systems: Special Issue on Biomedical Imaging, 55(1-3):185-207, Springer New York, 2009.

X. Huang, D. Metaxas, “Metamorphs: Deformable Shape and Appearance Models,” In IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), Vol. 30, No. 8, pp. 1444-1459, Aug. 2008. 

X. Huang, N. Paragios, D. Metaxas, ``Shape Registration in Implicit Spaces using Information Theory and Free Form Deformations,” In IEEE Trans. Pattern Analysis and Machine Intelligence (TPAMI), Vol. 28, No. 8, pp. 1303-1318, Aug. 2006.

Y. Wang, X. Huang, C.-S. Lee, S. Zhang, Z. Li, D. Samaras, D. Metaxas, A. Elgammal, and P. Huang, “High Resolution Acquisition, Learning and Transfer of Dynamic 3-D Facial Expressions,” In Computer Graphics Forum, 23(3):677-686, 2004. (Presented at Eurographics 2004)

 


Book Chapters

T. Shen, S. Zhang, J. Huang, X. Huang, D. Metaxas, ``Integrating Shape and Texture in 3D Deformable Models: From Metamorphs to Active Volume Models,'' In Multi Modality State-of-the-Art Medical Image Segmentation and Registration Methodologies, Volume I, Chapter 1, A.S. El-Baz, R. Acharya U, and M. Mirmehdi (Editors), Springer, March 2011.

X. Huang, G. Tsechpenakis, ``Medical Image Segmentation,'' In Information Discovery on Electronic Health Records, V. Hristidis (Editor), Chapman & Hall, Chapter 10, 2009.

Z. Qian, X. Huang, L. Axel, D. Metaxas, ``Automatic Segmentation of Cardiac Tagged MRI,'' In Biomedical Image Analysis: Methodologies and Applications, N. Paragios, J. Duncan, and N. Ayache (Editors), Springer, 2011.

X. Huang, C. Xu, Y. Song, “Fast Nonrigid Image Registration using Salient Region Feature and Free Form Deformations,” Book chapter in Encyclopedia of Healthcare Information Systems, N. Wickramasinghe and E. Geisler (editors), Medical Information Science Reference, 2008.

N. Paragios, M. Taron, X. Huang, M. Rousson, and D. Metaxas, ``On the Representation of Shapes Using Implicit Functions,'' Book Chapter in Statistics and Analysis of Shapes, H. Krim and A. Yezzi (Editors), Springer Verlag, 2005.

D. Metaxas, X. Huang, and T. Chen, “Integrating Shape and Texture in Deformable Models: From Hybrid Methods to Metamorphs,” Book Chapter in Mathematical Models in Computer Vision: The Handbook, N. Paragios, Y. Chen and O. Faugeras (Editors), Springler, 2005.

 


Selected Conference Papers

E. Kim, H. Li, X. Huang, ``A Hierarchical Image Clustering Cosegmentation Framework, In Proc. Of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 686-693, 2012.

M. Gao, J. Huang, X. Huang, S. Zhang, D. Metaxas, ``Simplified Labeling Process for Medical Image Segmentation, In Proc. Of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2012.

T. Shen, X. Huang, H. Li, E. Kim, S. Zhang, J. Huang, ``A 3D Laplacian-Driven Parametric Deformable Model, In Proc. Of International Conf. on Computer Vision (ICCV), pp. 279-286, 2011.

E. Kim, X. Huang, J. Heflin, ``Finding VIPS - A Visual Image Persons Search Using a Content Property Reasoner and Web Ontology,'' In Proc. of IEEE International Conf. on Multimedia & Expo (ICME), 2011.

H. Li, J. Huang, S. Zhang, X. Huang, ``Optimal Object Matching via Convexification and Composition, In Proc. Of International Conf. on Computer Vision (ICCV), pp. 33-40, 2011.

H. Li, T. Shen, X. Huang, ``Actin Filament Segmentation Using Dynamic Programming,'' In Proc. of 22nd International Conf. on Information Processing in Medical Imaging (IPMI), pp. 411-423, 2011.

M. Cheng, G. X. Zhang, N. J. Mitra, X. Huang, S. M. Hu, ``Global Contrast based Salient Region Detection,'' In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 409-416, 2011.

T. Xu, H. Li, T. Shen, N. Ojkic, D. Vavylonis, X. Huang, ``Extraction and Analysis of Actin Networks based on Open Active Contour Models,'' In Proc. of the IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp. 1334-1340, 2011.

H. Li, T. Shen, D. Vavylonis, X. Huang, ``Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models,'' In Proc. of International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 86-94, 2010.

H. Li, E. Kim, X. Huang, L. He, ``Object Matching with a Locally Affine-Invariant Constraint,'' In Proc. of IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 1641-1648, 2010.

J. Huang, X. Huang, D. Metaxas, ``Learning with Dynamic Group Sparsity,'' In Proc. of IEEE International Conf. on Computer Vision (ICCV), pp. 64-71, 2009.

H. Li, T. Shen, D. Vavylonis, X. Huang, “Actin Filament Tracking Based on Particle Filters and Stretching Open Active Contour Models,” In Proc. of 12th International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS-5762, pp. 673-681, 2009.

T. Shen, X. Huang, “3D Medical Image Segmentation by Multiple-Surface Active Volume Models,” In Proc. of 12th International Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI), LNCS-5762, pp. 1059-1066, 2009.

H. Li, T. Shen, X. Huang, “Global Optimization for Alignment of Generalized Shapes,” In Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 856-863, 2009.

T. Shen, H. Li, Z. Qian, X. Huang, “Active Volume Models for 3D Medical Image Segmentation,” In Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition (CVPR), pp. 707-714, 2009.

H. Li, T. Shen, M. B. Smith, I. Fujiwara, D. Vavylonis, and X. Huang, “Automated Actin Filament Segmentation, Tracking, and Tip Elongation Measurements based on Open Active Contour Models,” In Proc. of the IEEE Int’l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp. 1302-1305, 2009.

J. Huang, Z. Qian, X. Huang, D. Metaxas, L. Axel, Tag Separation in Cardiac Tagged MRI,” In Proc. of the 11th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention, MICCAI’08, LNCS-5242, pp. 289-297, 2008.

T. Shen, Y. Zhu, X. Huang, J. Huang, D. Metaxas, L. Axel, “Active Volume Models with Probabilistic Object Boundary Prediction Module,” In Proc. of the 11th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention, MICCAI’08, LNCS-5241, pp. 331-341, 2008.

J. Huang, X. Huang, D. Metaxas, “Simultaneous Image Transformation and Sparse Representation Recovery,” In Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, CVPR’08, pp. 1-8, 2008.

J. Huang, X. Huang, D. Metaxas, “Optimization and Learning for Registration of Moving Dynamic Textures,” In Proc. Of IEEE Int’l Conf. on Computer Vision, ICCV’07, pp. 1-8, 2007.

J. Huang, X. Huang, D. Metaxas, and L. Axel, “Adaptive Metamorphs Model for 3D Medical Image Segmentation,” In Proc. of the 10th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention, MICCAI’07, pp. 302-310, 2007.

L. Wolf, X. Huang, I. Martin, D. Metaxas, ``Patch-based Texture Edges and Segmentation,” In Proc. of the 9th European Conf. on Computer Vision, ECCV'06, LNCS 3952, pp. 481-493, 2006.

W. He, X. Huang, D. Metaxas, and X. Ying, ``Efficient Learning by Combining Confidence-rated Classifiers to Incorporate Unlabeled Medical Data,'' In Proc. of the 8th Annual International Conf. on Medical Image Computing and Computer Assisted Intervention, MICCAI’05, LNCS-3749, pp. 745-752, 2005.

X. Huang, Z. Qian, R. Huang, and D. Metaxas, ``Deformable-model based Textured Object Segmentation,'' In Proc. of the 4th Int'l Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR’05 , LNCS-3757, pp. 119-135, 2005.

X. Huang, D. Metaxas, and T. Chen, “Metamorphs: Deformable Shape and Texture Models,” In Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, CVPR’04, pp. 496-503, 2004.

X. Huang, Z. Li, and D. Metaxas, “Learning Coupled Prior Shape and Appearance Models for Segmentation,’’ In Proc. of the 7th Annual International Conf. on Medical Image Computing & Computer Assisted Intervention, MICCAI’04, Vol. I, pp. 60-69, LNCS-3216, 2004.

X. Huang, Y. Sun, D. Metaxas, F. Sauer, and C. Xu, “Hybrid Image Registration based on Configural Matching of Scale-Invariant Salient Region Features,” In Second IEEE Workshop on Image and Video Registration, IVR’04, in conjunction with CVPR’04, Washington D.C., July, 2004.

X. Huang, S. Zhang, Y. Wang, D. Metaxas, and D. Samaras, “A Hierarchical Framework for High Resolution Facial Expression Tracking,” In Third IEEE Workshop on Articulated and Nonrigid Motion, ANM’04, in conjunction with CVPR’04, Washington D.C., June, 2004.

X. Huang, N. Paragios, and D. Metaxas, “Establishing Local Correspondences towards Compact Representations of Anatomical Structures,’’ In Proc. of the 6th Annual International Conf. on Medical Image Computing & Computer Assisted Intervention, MICCAI’03, pp. 926-934, LNCS-2879, Montreal, Canada, November, 2003.

M. Singh, and X. Huang, “Computing Layered Surface Representations: An Algorithm for Detecting and Separating Transparent Overlays,” In Proc. of the IEEE Computer Society Conf. on Computer Vision and Pattern Recognition, CVPR’03, Vol. II, pp. 11-18, Madison, WI, June, 2003.

 


Other Conference Papers

X. Cui, S. Zhang, J. Huang, X. Huang, D. Metaxas, L. Axel, ``Left Endocardium Segmentation using Spatio-temporal Metamorphs, In Proc. Of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2012.

E. Kim, X. Huang, ``Crowdsourcing Image Segmentation using SVG, In Proc. Of 9th International Conf. on Scalable Vector Graphics, 2011.

E. Kim, S. Antani, X. Huang, L.R. Long, D. Demner-Fushman, ``Using Relevant Regions in Image Search and Query Refinement for Medical CBIR,'' In Proc. of SPIE, Medical Imaging: Advanced PACS-based Imaging Informatics and Therapeutic Applications, 2011.

Y. Yu, J. Huang, S. Zhang, C. Restif, X. Huang, D. Metaxas, ``Group Sparsity based Classification for Cervigram Segmentation,'' In Proc. of the IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2011.

S. Zhang, J. Huang, M. Uzunbas, T. Shen, F. Delis, X. Huang, N. Volkow, P. Thanos, D. Metaxas, ``3D Segmentation of Rodent Brain Structures using Active Volume Model with Shape Priors,'' In Proc. of the IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), 2011.

E. Kim, T. Shen, X. Huang, ``A Parallel Cellular Automata with Label Priors for Interactive Brain Tumor Segmentation,'' In Proc. of 23rd IEEE International Conf. on Computer-Based Medical Systems (CBMS), 2010.

S. Zhang, J. Huang, D. Metaxas, W. Wang, X. Huang, ``Discriminative Sparse Representations for Cervigram Image Segmentation,'' In Proc. of the IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp. 133-136, 2010.

E. Kim, X. Huang, G. Tan, L.R. Long, S. Antani, ``A Hierarchical SVG Image Abstraction Layer for Medical Imaging,'' In Proc. Of SPIE, Medical Imaging: Advanced PACS-based Imaging Informatics and Therapeutic Applications, Vol. 7628, 2010.

S. Zhang, J. Huang, W. Wang, X. Huang, D. Metaxas, ``Cervigram Image Segmentation based on Reconstructive Sparse Representations,'' In Proc. Of SPIE, Medical Imaging: Image Processing, Vol. 7623, 2010.

D. Lopresti, X. Zhou, X. Huang, G. Tan, “Document Analysis Support for the Manual Auditing of Elections,” In Proc. of 10th International Conference on Document Analysis and Recognition (ICDAR), pp. 733-737, 2009. 

W. Wang, Y. Zhu, X. Huang, D. Lopresti, Z. Xue, L. R. Long, S. Antani, and G. Thoma, “A Classifier Ensemble based on Performance Level Estimation,” In Proc. of the IEEE Int’l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp. 342-345, 2009.

W. Wang, X. Huang, “Distance Guided Selection of the Best Base Classifier in an Ensemble with Application to Cervigram Image Segmentation,” In Proc. Of the IEEE Computer Society Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA’09, in conjunction with CVPR’09, Miami FL, 2009.

Y. Zhu, T. Shen, D. Lopresti, and X. Huang, Interactive Polygons in Region-based Deformable Contours for Medical Images,” In Proc. of the IEEE Int’l Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp. 37-40, 2009.

E. Kim, W. Wang, H. Li, X. Huang, ``A Parallel Annealing Method for Automatic Color Cervigram Image Segmentation,'' In Proc. of the MICCAI-GRID Workshop: Medical Imaging on GRID, HPC and GPU Infrastructures, 2009.

H. Li, T. Shen, M. B. Smith, I. Fujiwara, D. Vavylonis and X. Huang, “Automated Actin Filament Length Measurements in TIRFM Images Using Open Active Contours,” Abstract in Biophysics Society 53rd Annual Meeting, Boston, 2009.

Y. Artan, X. Huang, “Combining Multiple 2v-SVM Classifiers for Tissue Segmentation,” In Proc. of the IEEE Int’l Symposium on Biomedical Imaging: From Nano to Macro, ISBI’08, pp. 488-491, 2008.

Y. Zhu, X. Huang, D. Lopresti, L. R. Long, S. Antani, Z. Xue, and G. Thoma, “Web-Based Multi-Observer Segmentation Evaluation Tool,” In Proc. Of the 21st IEEE Int’l Symposium on Computer-Based Medical Systems, CBMS’08, pp. 167-169, 2008.

X. Huang, W. Wang, Z. Xue, S. Antani, L. R. Long, J. Jeronimo, “Tissue Classification using Cluster Features for Lesion Detection in Digital Cervigrams,” In Proc. Of SPIE, Medical Imaging: Image Processing, 2008.

W. Qu, X. Huang, Y. Jia, “Segmentation in Noisy Medical Images Using PCA Model based Particle Filtering,” In Proc. Of SPIE, Medical Imaging: Image Processing, 2008.

Y. Song, X. Huang, B. Mueller, B. Mychalczak, “Phase Impact Factor: A Novel Parameter for Determining Optimal CT Phase in 4D Radiation Therapy Treatment Planning for Mobile Lung Cancer,” In Proc. Of SPIE, Medical Imaging: Visualization, Image-guided Procedures, and Modeling, 2008.

J. Huang, X. Huang, D. Metaxas, and L. Axel, “Dynamic Texture based Heart Localization and Segmentation in 4-D Cardiac Images”, In Proc. of the IEEE Int’l Symposium on Biomedical Imaging: From Nano to Macro, ISBI’07, pp. 852-855, 2007.

K. Okada, X. Huang, ``Robust Click-Point Linking: Matching Visually Dissimilar Local Regions, '' In Proc. Of IEEE International Workshop on Beyond Multiview Geometry: Robust Estimation and Organization of Shapes from Multiple Cues, in conjunction with CVPR’07, 2007.

V. Potesil, X. Huang, X. Zhou, “Automated Tumor Delineation using Joint PET/CT Information,” In Proc. Of SPIE, Medical Imaging: Computer-aided Diagnosis, Vol. 6514, 2007.

H. Guan, T. Kubota, X. Huang, X. Zhou, M. Turk, ``Automatic Hot Spot Detection and Segmentation in Whole Body FDG-PET Images,” In Proc. of the IEEE Int'l Conf. on Image Processing, ICIP’06, pp. 85-88, 2006.

J. Huang, X. Huang, D. Metaxas, and D. Banerjee, ``3D Tumor Shape Reconstruction from 2D Bioluminescence Images,'' In Proc. of the IEEE Int'l Symposium on Biomedical Imaging: From Nano to Macro, ISBI’06, pp. 606-609, 2006.

K. Okada, X. Huang, X. Zhou, A. Krishnan, ``Robust Click-Point Linking for Longitudinal Follow-Up Studies, '' In Proc. Of Int’l Workshop on Medical Imaging and Augmented Reality, MIAR'06, Shanghai, 2006.

X. Huang, D. Metaxas, L. G. Menon, P. Mayer-Kuckuk, J. R. Bertino, and D. Banerjee, Recovering 3D Tumor Locations from 2D Bioluminescence Images and Registration with CT Images,” In Proc. of the Conf. on Multimodal Biomedical Imaging, Biomedical Optics, Vol. 6081, 2006.

X. Huang, X. Zhou, A. Krishnan, ``The efficacy of computer detection of kidney in PET/CT images and kidney SUV statistics in PET images,'' Abstract in Radiological Society of North America Scientific Assembly and Annual Meeting (RSNA), 2006.

Z. Qian, X. Huang, D. Metaxas, and L. Axel, “Robust Segmentation of 4D Cardiac MRI-tagged Images via Spatio-temporal Propagation,” In Proc. Of SPIE, Medical Imaging: Physiology, Function and Structure from Medical Images, Vol. 5746, pp. 580-591, 2005.

D. Metaxas, T. Chen, X. Huang, and L. Axel, “Cardiac Segmentation from MRI-Tagged and CT Images,” In Proc. of the 8th WSEAS International Conf. on Computers, special session on Imaging and Image Processing of Dynamic Processes in biology and medicine, also in WSEAS Transactions on Computers, 2004.

C. Xu, X. Huang, A. Krishnan, and S. Samant, “An Automated Image-based Method for Multi-Leaf Collimator Positioning Verification in Intensity Modulated Radiation Therapy,” In International Conf. on Diagnostic Imaging and Analysis, ICDIA’02, Shanghai, China, August, 2002.

 


Ph.D. Dissertation 

X. Huang, “Shape and Appearance Information Integration in Medical Image Analysis and Computer Vision,” Division of Computer and Information Sciences, Rutgers University, New Brunswick, May 2006.  Ph.D. Adviser: Prof. Dimitris Metaxas.

 


Technical Reports

 X. Huang, and D. Metaxas, “Matching and Recognition of Shapes using Chord-based Point Density Graphs,” Technical Report DCS-TR-566, Division of Computer and Information Sciences, Rutgers University, New Brunswick, 2002.