Publications

2021

Yuchou Chang and Ukash Nakarmi, “Parallel MRI Reconstruction Using Broad Learning System”, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Online, Oct. 31 – Nov. 4, 2021.

Yuchou Chang, “Improving Nonlinear Interpolation of K-Space Data Using Semi-Supervised Learning and Autoregressive Model”, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Online, Oct. 31 – Nov. 4, 2021.

Yuchou Chang and Mert Saritac, “Decoding Brain Activity Features to Recognize Distorted Objects”, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Online, Oct. 31 – Nov. 4, 2021.

Yuchou Chang and Liang Sun, “EEG-Based Emotion Recognition for Modulating Social-Aware Robot Navigation”, 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Online, Oct. 31 – Nov. 4, 2021.

2020

Yuchou Chang, “Human-Robot Shared Perception for Categorizing Object via Deep Canonical Correlation Analysis”, the 10thJoint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), Workshop of Workshop on Affective Shared Perception (WASP), Oct. 26-30, Online, 2020.

Haifeng Wang, Dong Liang, Kevin F. King, Yuchou Chang, Xin Liu, Hairong Zheng, and  Leslie Ying, “Improved Gradient-echo 3D Magnetic Resonance Imaging Using Compressed Sensing and Toeplitz Encoding with Phase-Scrambled RF Excitation”, Medical Physics, DOI: 10.1002/mp.13987, vol. 47, no. 4, pp. 1579-1589, 2020.

Haifeng Wang, Yuchou Chang, Xin Liu, Hairong Zheng, and Dong Liang, “Magnetic Resonance Imaging Using Multi-leaf Smoothed Random-like Trajectory”, 28th Annual Meeting in International Society of Magnetic Resonance in Medicine (ISMRM), Sydney, Australia, Apr. 17-20, 2020.

Xiaoyan Wang, Zhenzhou An, Jing Zhou, and Yuchou Chang, “A Multi-View Learning Approach for Glioblastoma Image Contrast Enhancement”, Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology, pp. 151-158, Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 180), 2020.

Xiaoyan Wang, Zhenzhou An, Jing Zhou, and Yuchou Chang, “Improving Parallel Magnetic Resonance Imaging Reconstruction Using Nonlinear Time Series Analysis”, Advances in 3D Image and Graphics Representation, Analysis, Computing and Information Technology, pp. 53-60, Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 179), 2020.

2019

Yuchou Chang, “Improving Otsu Method for MRA Image Vessel Extraction via Resampling and Ensemble Learning”, IET Healthcare Technology Letters, DOI: 10.1049/htl.2018.5031, Online ISSN 2053-3713, vol. 6, no. 4, pp. 115–120, 2019.

Yuchou Chang, “Architecture Design for Performing Grasp-And-Lift Tasks in Brain-Machine-Interface-Based Human-In-The-Loop Robotic System”, IET Cyber Physical System: Theory & Applications, Accepted, DOI: 10.1049/iet-cps.2018.5066, Online ISSN 2398–3396, vol. 4, no. 3, pp. 198–203, 2019.

Haifeng Wang, Sen Jia, Yuchou Chang, Yanjie Zhu, Chao Zou, Ye Li, Xin Liu, Hairong Zheng, and Dong Liang, “Improving GRAPPA Reconstruction Using Joint Nonlinear Kernel Mapping and Phase Conjugated Virtual Coils”, Physics in Medicine and Biology, DOI: 10.1088/1361-6560/ab274d, vol. 64, no. 14, pp. 14NT01, 2019.

Haifeng Wang, Yihang Zhou, Shi Su, Zhanqi Hu, Jianxiang Liao, and Yuchou Chang, “Adaptive Volterra Filter for Parallel MRI Reconstruction”, EURASIP Journal on Advances in Signal Processing, DOI: 10.1186/s13634-019-0633-5, 2019:34, 2019.

Caiyun Shi, Jing Cheng, Guoxi Xie, Shi Su, Yuchou Chang, Hanwei Chen, Xin Liu, Haifeng Wang, and Dong Liang, “Positive Contrast Susceptibility Imaging Based on First-order Primal-dual Optimization”, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.27791, vol. 82, no. 3, pp. 1120 – 1128, 2019.

Yuchou Chang, “Improving Dynamic Parallel MRI Reconstruction via a Kernel-Based Learning Technique”, Advances in Image and Video Processing, DOI: https://doi.org/10.14738/aivp.72.6692, Vol. 7 No. 2, pp. 25 – 29, 2019.

Yuchou Chang, Mary Parker, Omer Mir, and Arbaaz Polraz, “Developing Computational Thinking via Cozmo Robot Programming for Precollege and Undergraduate Students through a State Workforce Career Development Program”, 24thAnnual Conference on E-Learning, New Orleans, Louisiana, Nov. 4 – 7, 2019.

Haifeng Wang, Jing Cheng, Sen Jia, Zhilang Qiu, Caiyun Shi, Lixian Zou, Shi Su, Yuchou Chang, Yanjie Zhu, Leslie Ying, and Dong Liang, “Accelerating MR Imaging via Deep Chambolle-Pock Network”, 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, Jul. 23 – 27, 2019.

Haifeng Wang, Shi Su, Xin Liu, Yuchou Chang, and Dong Liang, “A GPU-Based Modified Conjugate Gradient Method for Accelerating Wave-CAIPI Reconstruction”, 27th Annual Meeting in International Society of Magnetic Resonance in Medicine (ISMRM), Montreal, Canada May 11 – 16, 2019.

Jing Cheng, Haifeng Wang, Yuchou Chang, and Dong Liang, “Non-Smooth Convex Optimization for O-Space Reconstruction”, 27th Annual Meeting in International Society of Magnetic Resonance in Medicine (ISMRM), Montreal, Canada, May 11 – 16, 2019.

Haifeng Wang, Lixian Zou, Huihui Ye, Shi Su, Xin Liu, Yuchou Chang, and Dong Liang, “Application of Time-Fractal Order Block Equation in Magnetic Resonance Fingerprinting”, IEEE Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Venice, Italy, Apr. 8 – 11, 2019.

2018

Yuchou Chang, “Graph-Based Data Augmentation Approach for Electroencephalogram Analysis”, International Journal of Multidisciplinary Research and Studies, vol. 1, no. 3, pp. 298 – 307, 2018.

Yuchou Chang and Haifeng Wang, “Kernel Principal Component Analysis of Coil Compression in Parallel Imaging”, Computational and Mathematical Methods in Medicine, Volume 2018, Article ID 4254189, 9 pages, DOI: 10.1155/2018/4254189, 2018.

Haifeng Wang, Hanchuan Peng, Yuchou Chang, and Dong Liang, “A Survey of GPU-based Acceleration Techniques in MRI Reconstructions”, Quantitative Imaging in Medicine and Surgery, DOI: 10.21037/qims.2018.03.07, vol. 8., no. 2, pp. 196-208, 2018.

Yuchou Chang, “MR Image Segmentation Based on Contrast Enhancement with Collaborative Learning”, Advances in Image and Video Processing, DOI: 10.14738/aivp.61.4089, vol. 6, no. 1, pp. 1-8, 2018.

Yuchou Chang, “MR Brain Image Edge Detection Guided with Distribution of Noise and Artifact”, American Journal of Computer Science and Technology, DOI: 10.11648/j.ajcst.20180101.11, vol. 1, no. 1, pp. 1-7, 2018.

Xiaoyan Wang, Zhenzhou An, Yihang Zhou, Haifeng Wang, and Yuchou Chang, “Automating Robot Motion Planning for Magnetic Resonance Navigation Using Q-Learning”, IEEE International Conference on Cyborg and Bionic Systems (CBS), Shenzhen, China, Oct. 25 – 27, 2018.

Xiaoyan Wang, Zhenzhou An, Yihang Zhou, Haifeng Wang, and Yuchou Chang, “Automating Regularized Sensitivity Encoding Reconstruction via Genetic Algorithm for MRI Robotics”, IEEE International Conference on Cyborg and Bionic Systems (CBS), Shenzhen, China, Oct. 25 – 27, 2018.

Xiaoyan Wang, Zhenzhou An, and Haifeng Wang, and Yuchou Chang “Accelerating Noise-Free MRI Reconstruction for Image-Guided Medical Robot Interventions”, IEEE International Conference on Intelligence and Safety for Robotics (ISR), Shenyang, China, Aug. 24 – 27, 2018.

Xiaoyan Wang, Zhenzhou An, and Haifeng Wang, and Yuchou Chang, “MR Brain Image Enhancement via Learning Ensemble”, IEEE International Conference on Intelligence and Safety for Robotics (ISR), Shenyang, China, Aug. 24 – 27, 2018.

Yuchou Chang, Xiaoyan Wang, Zhenzhou An, and Haifeng Wang, “Robotic Path Planning Using A* Algorithm for Automatic Navigation in Magnetic Resonance Angiography”, 40th  Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, Jul. 17 – Jul. 21, 2018.

Haifeng Wang, Yuchou Chang, and Dong Liang, “Hybrid O-Space and FRONSAC Imaging”, 26th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, Jun. 16 – 21, 2018.

Haifeng Wang, Yuchou Chang, Leslie Ying, Xin Liu, and Dong Liang, “Nonlinear GRAPPA Reconstruction with Virtual Coil Conception”, 26th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Paris, France, Jun. 16 – 21, 2018.

Haifeng Wang, Xiaoyan Wang, and Yuchou Chang, “Automatic Clustering of Natural Scene Using Color Spatial Envelope Feature”, ACM Proceedings of the International Conference on Computing and Artificial Intelligence (ICCAI), Chengdu, China, pp. 144 – 148, DOI:10.1145/3194452.3194476, Mar. 2018.

2017

Yuchou Chang, “Real-Time Noise Classification of Medical Image via Online Machine Learning Algorithm”, Advances in Image and Video Processing, DOI: 10.14738/aivp.56.4084, vol. 5, no. 6, pp. 1-9, 2017.

Yanyun Jiang, Yuanjie Zheng, Sujuan Hou, Yuchou Chang and James Gee, “Multi-Modal Image Alignment via Linear Mapping between Feature Modalities”, Journal of Healthcare Engineering, Volume 2017 (2017), Article ID 8625951, 6 pages DOI: 10.1155/2017/8625951.

Yuchou Chang, Haifeng Wang, Yuanjie Zheng, and Hong Lin, “Instrument Variables for Reducing Noise in Parallel MRI Reconstruction”, BioMed Research International, Volume 2017, Article ID 9016826, 8 pages, DOI: 10.1155/2017/9016826, 2017.

2016

Yuchou Chang and Hong Lin, “Irrelevant Frame Removal for Scene Analysis Using Video Hyperclique Pattern and Spectrum Analysis”, Journal of Advanced Computer Science & Technology, DOI: 10.14419/jacst.v5i1.4035, vol. 5, no. 1, pp. 1-7, 2016.

Michael Schär, Holger Eggers, Nicholas R. Zwart, Yuchou Chang, Akshay Bakhru, and James G. Pipe, “Dixon Water-Fat Separation in PROPELLER MRI Acquired with Two Interleaved Echoes”, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.25656, vol. 75, no. 2, pp. 718-728, 2016.

Jonathan Garza, Yuchou Chang, Yuezhe Li, and Hong Lin, “A Real Time EEG Analysis System”, IEEE International Conference on Data Science in Cyberspace, Changsha, China, Jun. 13 – 16, 2016.

Sishir Subedi, Yuezhe Li, Christopher Early, Alexander Chan, Jonathan Garza, Gregor Schreiber, Yuchou Chang, and Hong Lin, “A System for the Analysis of EEG Data and Brain State Modeling”, Book: Emerging Trends in Computational Biology, Bioinformatics, and Systems Biology – Systems & Applications, chapter 30, pp. 447-465, 2016.

2015

Yuezhe Li, Yuchou Chang, and Hong Lin, “Cultivating Chan with Calibration”, International Journal of Reliable and Quality E-Healthcare, vol. 4, no. 4, pp. 32-51, DOI: 10.4018/IJRQEH.2015100102, 2015.

Yuezhe Li, Yuchou Chang, and Hong Lin, “Statistical Machine Learning in Brain State Classification using EEG Data”, Open Journal for Big Data, vol. 1, no. 2, pp. 19-33, 2015.

Huajun She, Rong-Rong Chen, Dong Liang, Yuchou Chang, and Leslie Ying, “Image Reconstruction from Phased-Array Data Based on Multichannel Blind Deconvolution”, Magnetic Resonance Imaging, vol. 33, no. 9, pp. 1106-1113, DOI: 10.1016/j.mri.2015.06.008, 2015.

Yuchou Chang, James G. Pipe, John P. Karis, Wende N. Gibbs, Nicholas R. Zwart, and Michael Schär, “The Effects of SENSE on PROPELLER Imaging”, Magnetic Resonance in Medicine, DOI: 10.1002/mrm.25557, vol. 74, no. 6, pp.1598-1608, 2015.

Jingyuan Lyu, Yuchou Chang, and Leslie Ying, “Fast GRAPPA Reconstruction with Random Projection”, Magnetic Resonance in Medicine, vol. 74, no. 1, pp. 71-80, DOI: 10.1002/mrm.25373, 2015.

Yuchou Chang, Dallas Turley, and James G. Pipe, “3D FFE PROPELLER Free-Breathing Abdominal Imaging”, 23rd Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Toronto, Canada, 30 May – 05 June, 2015.

Publications Before 2015

Yuchou Chang, Dong Liang, and Leslie Ying, “Nonlinear GRAPPA: A Kernel Approach to Parallel MRI Reconstruction”, Magnetic Resonance in Medicine, vol. 68, pp. 730-740, September, DOI: 10.1002/mrm.23279, 2012. (selected to the virtual issue of Data Sampling and Image Reconstruction)

Haifeng Wang, Dong Liang, Kevin F. King, Gajanan Nagarsekar, Yuchou Chang, and Leslie Ying, “Improving GRAPPA Using Cross-Sampled Autocalibration Data”, Magnetic Resonance in Medicine, vol. 67, pp. 1042-1053, DOI: 10.1002/mrm.23083 2012. (selected to the virtual issue of Data Sampling and Image Reconstruction)

Dong Liang, Haifeng Wang, Yuchou Chang, and Leslie Ying, “Sensitivity Encoding Reconstruction with Nonlocal Total Variation Regularization”, Magnetic Resonance in Medicine, vol. 65, pp. 1384-1392, DOI: 10.1002/mrm.22736, 2011.

Dah-Jye Lee, Sameer Antani, Yuchou Chang, Kent Gledhill, L. Rodney Long, Paul Christensen, “CBIR of Spine X-Ray Images on Inter-Vertebral Disc Space and Shape Profiles Using Feature Ranking and Voting Consensus”,  Data & Knowledge Engineering, vol. 68, no. 12, pp. 1359-1369, DOI: 10.1016/j.datak.2009.07.008, 2009.

Yi Hong, Sam Kwong, Yuchou Chang, and Qingsheng Ren, “Unsupervised Data Pruning for Clustering of Noisy Data”, Knowledge-Based Systems, vol. 21, no. 7, pp. 612-616, DOI: 10.1016/j.knosys.2008.03.052, 2008.

Dah-Jye Lee, James Archibald, Yuchou Chang, and Christopher Greco, “Robust Color Space Conversion and Color Distribution Analysis Techniques for Date Maturity Evaluation”, Journal of Food Engineering, vol. 88, no. 3, pp. 364-372, DOI: 10.1016/j.jfoodeng.2008.02.023, 2008.

Yi Hong, Sam Kwong, Yuchou Chang, Qingsheng Ren, “Unsupervised Feature Selection Using Clustering Ensembles and Population Based Incremental Learning Algorithm”, Pattern Recognition, vol. 41, no. 9, pp. 2742-2756, DOI: 10.1016/j.patcog.2008.03.007, 2008.

Yuchou Chang, Dah-Jye Lee, Yi Hong, James Archibald, and Dong Liang, “A Robust Color Image Quantization Algorithm Based on Knowledge Reuse of K-Means Clustering Ensemble”, Journal of Multimedia, vol. 3, no. 2, pp. 20-27, DOI: 10.4304/jmm.3.2.20-27, 2008.

Yi Hong, Sam Kwong, Yuchou Chang, Qingsheng Ren, “Consensus Unsupervised Feature Ranking from Multiple Views”, Pattern Recognition Letters, vol. 29, no. 5, pp. 595-602, DOI: 10.1016/j.patrec.2007.11.012, 2008.

Yuchou Chang, Dah-Jye Lee, Yi Hong, and James Archibald, “Unsupervised Video Shot Detection Using Clustering Ensemble with a Color Global  Scale-Invariant Feature Transform Descriptor”, special issue on “Color in Image and Video Processing” of the EURASIP Journal on Video and Image Processing, vol.2008, article ID 860743, DOI: 10.1155/2008/860743, 2008.

Yuchou Chang, Dah-Jye Lee, Yonggang Wang, and James Archibald, “Texture-Based Color Image Segmentation Using Local Contrast Information”, International Journal of Information Technology and Intelligent Computing, vol. 2, no. 4, 2007.

Yuchou Chang, Dah-Jye Lee, and James Archibald, “Using Color Variation to Mimic Human Visual Perception for Color Image Quantization”, International Journal of Information Technology and Intelligent Computing, vol. 2, no. 3, 2007.

Yonggang Wang, Jie Yang, and Yuchou Chang, “Color–Texture Image Segmentation by Integrating Directional Operators into JSEG Method”, Pattern Recognition Letters, vol. 27, no. 16, pp. 1983-1990, DOI: 10.1016/j.patrec.2006.05.010, 2006.

Dong Liang, Jie Yang, Yuchou Chang, “Relevance feedback based on non-negative matrix factorisation for image retrieval”. IET Proceedings Vision, Image & Signal Processing, vol. 153, no. 4, pp. 436-444, DOI: 10.1049/ip-vis:20050168, 2006.

Dong Liang, Jie Yang, Yuchou Chang, “Supervised Non-negative Matrix factorization based latent semantic image indexing”. Chinese Optical Letters, vol. 4, no. 5, pp. 272-274, 2006.

Dong Liang, Jie Yang, Zhonglong Zheng, and Yuchou Chang, “A Facial Expression Recognition System Based on Supervised Locally Linear Embedding”, Pattern Recognition Letters, vol.26, no.15, pp.2374-2389, DOI: 10.1016/j.patrec.2005.04.011, 2005.

Yuchou Chang, Yue Zhou, Yonggang Wang, and Yi Hong, “A Color Image Segmentation Algorithm by Using Region and Edge Information”, Advances in Artificial Intelligence, Lecture Notes in Computer Science, vol. 3809, pp. 1237-1240, Springer, DOI: 10.1007/11589990_178, 2005.

Yuchou Chang, Yue Zhou, and Yonggang Wang, “Combined Color and Texture Segmentation Based on Fibonacci Lattice Sampling and Mean Shift”, Lecture Notes in Computer Science, vol. 3656, pp. 24-31, Springer, DOI: 10.1007/11559573_4, 2005.

Dong Liang, Jie Yang, Jinjun Lu, and Yuchou Chang, “Image Retrieval using Weighted Color Co-occurrence Matrix”, Lecture Notes in Computer Science, vol.3567, pp.161-165, Springer, DOI: 10.1007/11511854_14, 2005.

Dong Liang, Jie Yang, Jinjun Lu, and Yuchou Chang, “The Latent Semantic Image Retrieval Based on Non-negative Matrix Factorization”, Journal of Shanghai Jiao Tong University, vol. 40, pp. 787-790, 2006. (Chinese)

Jinjun Lu, Jie Yang, Dong Liang, Yuchou Chang, “Non-negative Matrix Factorization Based Relevance Feedback Algorithm in Image Retrieval”, Journal of Shanghai Jiao Tong University, vol.39, pp.578-581, 2005. (Chinese)

Michael Schär, Holger Eggers, Nicholas R. Zwart, Yuchou Chang, Akshay Bakhru, and James G. Pipe, “The Impact of Dixon Water-Fat Separation on Motion Correction in PROPELLER MRI”,22nd Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Milan, Italy, 10 -16, May, 2014.

Yuchou Chang, James G. Pipe, and Michael Schär, “Calculating G-factor Maps from PROPELLER SENSE Reconstruction”, 22nd Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Milan, Italy, 10 –16, May, 2014.

Haifeng Wang, Yihang Zhou, Yuchou Chang, and Dong Liang, “Fat Suppression Using Random Encoding Pulse Sequences”, 22nd Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Milan, Italy, 10 –16, May, 2014.

Jingyuan Lyu, Yuchou Chang, and Leslie Ying, “A random projection approach to highly efficient GRAPPA reconstruction”, 21th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Salt Lake City, Utah, United States, Apr. 20 – 26, 2013.

Yuchou Chang, Dong Liang,  and Leslie Ying, “Simultaneous Channel Compression and Noise Suppression in Parallel MRI”, 21th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Salt Lake City, Utah, United States, Apr. 20 – 26, 2013.

Jingyuan Lyu, Yuchou Chang, and Leslie Ying, “Efficient GRAPPA Reconstruction Using Random Projection”, IEEE Symposium on Biomedical Imaging: From Nano to Macro (ISBI), San Francisco, California, United States, Apr. 7 – 11, 2013.

Haifeng Wang, Yihang Zhou, Yuchou Chang, Yong Wang, “Smoothed Random-Like Trajectory for Compressed Sensing MRI”, 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), San Diego, California, United States, Aug. 28 – Sep. 1, 2012.

Yuchou Chang, Kevin F. King, Dong Liang, and Leslie Ying, “Combining Compressed Sensing and Nonlinear GRAPPA for Highly Accelerated Parallel MRI”, 20th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, May 5 – 11, 2012.

Yuchou Chang, and Leslie Ying, “A Nonlinear ARMA Model for GRAPPA Reconstruction”,20th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, May 5 – 11, 2012.

Yihang Zhou, Yuchou Chang, and Leslie Ying, “k-t CS-NLG: Dynamic Imaging Reconstruction with Compressed Sensing and Nonlinear GRAPPA”, 20th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, May 5 – 11, 2012.

Haifeng Wang, Yuchou Chang, Dong Liang, Kevin F. King, and Leslie Ying, “Cross Sampled Nonlinear GRAPPA for Parallel MRI”, 20th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, Australia, May 5 – 11, 2012.

Yuchou Chang, Kevin F. King, Dong Liang, Yong Wang, and Leslie Ying, “A Kernel Approach to Compressed Sensing Parallel MRI”, IEEE Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Barcelona, Spain, May 2 – 5, 2012.

Yong Wang, Dong Liang, Yuchou Chang, and Leslie Ying, “A Hybrid Total-Variation Minimization Approach to Compressed Sensing”, IEEE Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Barcelona, Spain, May 2 – 5, 2012.

Yihang Zhou, Yuchou Chang, Dong Liang, and Leslie Ying, “K-T CSPI: A Dynamic MRI Reconstruction Framework for Combining Compressed Sensing and Parallel Imaging”, IEEE Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Barcelona, Spain, May 2 – 5, 2012.

Yuchou Chang, Dong Liang, and Leslie Ying, “Kernel GRAPPA: A General Nonlinear Framework for GRAPPA Regularization”,19th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Quebec, Canada, 4394, May 7-13, 2011.

Yuchou Chang, Dong Liang, and Leslie Ying, “A Kernel Approach to Parallel MRI Reconstruction”, IEEE Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Chicago, Illinois, United States,  pp. 389-392, Mar. 30 – Apr. 2 2011.

Yuchou Chang, Dong Liang, and Leslie Ying, “A Nonlinear GRAPPA Method for Improving SNR”, 18th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Stockholm, Sweden, May 1-7, 2010.

Huajun She, Rong-Rong Chen, Dong Liang, Yuchou Chang, and Leslie Ying, “Image Reconstruction from Phased-Array MRI Data Based on Multichannel Blind Deconvoltuion”, 18th Annual Meeting in International Society for Magnetic Resonance in Medicine (ISMRM), Stockholm, Sweden, May 1-7, 2010.

Yuchou Chang, Dah-Jye Lee, and James K. Archibald, “Unsupervised Clustering Using Hyperclique Pattern Constraints”, IEEE Conference on Pattern Recognition (ICPR), Tampa, Florida, United States, Dec. 8-11, 2008.

Yuchou Chang, Dah-Jye Lee, James K. Archibald, and Yi Hong, “Using Collaborative Learning for Image Contrast Enhancement”, IEEE Conference on Pattern Recognition (ICPR), Tampa, Florida, United States, Dec. 8-11, 2008.

Yuchou Chang, Dah-Jye Lee, Yi Hong, and James K. Archibald, “Unsupervised Video Shot Segmentation Using Global Color and Texture Information”, International Symposium on Visual Computing, pp. 460-467, Las Vegas, Nevada, United States, Dec. 1-3, 2008.

Yuchou Chang, Dah-Jye Lee, Yi Hong, and James K. Archibald, “Edge Detection from Global and Local Views Using an Ensemble of Multiple Edge Detectors”, International Symposium on Visual Computing, pp. 934-941, Las Vegas, Nevada, United States, Dec. 1-3, 2008.

Dah-Jye Lee, Yuchou Chang, J.K. Archibald, and C.J. Pitzak, “Matching Book-Spine Images for Library Shelf-Reading Process Automation”, IEEE Conference on Automation Science and Engineering (CASE), Washington DC, United States, Aug. 23-26, 2008.

Dah-Jye Lee, Yuchou Chang, J.K. Archibald, and C.R. Greco, “Color Quantization and Image Analysis for Automated Fruit Quality Evaluation”, IEEE Conference on Automation Science and Engineering (CASE), Washington DC, United States, Aug. 23-26, 2008.

Yuchou Chang, Sameer Antani, Dah-Jye Lee, Kent Gledhill, L. Rodney Long, and Paul Christensen, “CBIR of Spine X-ray Images on Inter-Vertebral Disc Space and Shape Profiles”, Proceedings of The 21st IEEE Symposium on Computer-Based Medical Systems, Jyvaskyla, Finland, Jun. 17-19, 2008.

Yi Hong, Sam Kwong, Hanli Wang, Qingsheng Ren, and Yuchou Chang, “Probabilistic and Graphical Model Based Genetic Algorithm Driven Clustering with Instance-level Constraints”, IEEE World Congress on Computational Intelligence, pp. 322-329, Hong Kong, China, Jun. 1-6, 2008.

Peng Yu, Jie Xu, Guoliang Zhang, Yuchou Chang, and Frank Seide, “A Hidden-State Maximum Entropy Model for Word Confidence Estimation”, IEEE International Conference on Acoustics, Speech, and Signal Processing 2007, vol.4, pp.15-20, Honolulu, Hawaii, United States, Apr. 15-20, 2007.

Yuchou Chang, and Dah-Jye Lee, “Color Image Quantization Using Color Variation Measure”, IEEE Symposium on Computational Intelligence in Image and Signal Processing 2007, pp. 127-132, Honolulu, Hawaii, United States, Apr. 1-5, 2007.

Yuchou Chang, Dah-Jye Lee, and Yonggang Wang, “Color-Texture Segmentation of Medical Images Based on Local Contrast Information”, IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2007, pp.488-493 , Honolulu, Hawaii, United States, Apr. 1-5, 2007.

Ammon J. Christiansen, Dah-Jye Lee, and Yuchou Chang, “Finding Relevant PDF Medical Journal Articles by the Caption and Content of Their Figures”, SPIE Medical Imaging, Picture Archive and Communication Systems (PACS) and Imaging Informatics, Vol. 6516-17, San Diego, California, United States, Feb. 17-22, 2007.

Yi Hong, Qingsheng Ren, Jin Zeng, and Yuchou Chang, “Convergence of Estimation of Distribution Algorithms in Optimization of Additively Noisy Fitness Functions”. 17th IEEE International Conference on Tools with Artificial Intelligence, pp.219-223, Hong Kong, China, Nov. 14-16, 2005.