Heng Huang

Summary

Affiliation: University of Texas at Arlington
Country: USA

Publications

  1. pmc Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling
    Yang Song
    Biomedical and Multimedia Information Technology BMIT Research Group, School of Information Technologies, University of Sydney, NSW 2006, Australia
    BMC Bioinformatics 14:173. 2013
  2. ncbi request reprint A novel surface registration algorithm with biomedical modeling applications
    Heng Huang
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    IEEE Trans Inf Technol Biomed 11:474-82. 2007
  3. pmc Array CGH data modeling and smoothing in Stationary Wavelet Packet Transform domain
    Heng Huang
    Department of Computer Science and Engineering, University of Texas at Arlington, TX, USA
    BMC Genomics 9:S17. 2008
  4. pmc Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, TX 76019, USA
    Bioinformatics 28:i127-36. 2012
  5. pmc From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, TX 76019, USA
    Bioinformatics 28:i619-i625. 2012
  6. doi request reprint Stationary wavelet packet transform and dependent laplacian bivariate shrinkage estimator for array-CGH data smoothing
    Nha Nguyen
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas 76019, USA
    J Comput Biol 17:139-52. 2010
  7. pmc Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    Bioinformatics 28:229-37. 2012
  8. ncbi request reprint GaborLocal: peak detection in mass spectrum by Gabor filters and Gaussian local maxima
    Nha Nguyen
    Department of Electrical Engineering, University of Texas at Arlington, TX, USA
    Comput Syst Bioinformatics Conf 7:85-96. 2008
  9. pmc Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet
    Nha Nguyen
    Department of Computer Science and Engineering, University of Texas, Arlington, TX, USA
    Bioinformatics 26:i659-65. 2010
  10. pmc Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm
    Jingwen Yan
    BioHealth, Indiana University School of Informatics and Computing, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Computer Science and Engineering, The University of Texas at Arlington, TX 76019, USA and Genetics, Community and Family Medicine, Dartmouth Medical School, Lebanon, NH 03756, USA BioHealth, Indiana University School of Informatics and Computing, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Computer Science and Engineering, The University of Texas at Arlington, TX 76019, USA and Genetics, Community and Family Medicine, Dartmouth Medical School, Lebanon, NH 03756, USA
    Bioinformatics 30:i564-71. 2014

Detail Information

Publications22

  1. pmc Region-based progressive localization of cell nuclei in microscopic images with data adaptive modeling
    Yang Song
    Biomedical and Multimedia Information Technology BMIT Research Group, School of Information Technologies, University of Sydney, NSW 2006, Australia
    BMC Bioinformatics 14:173. 2013
    ..e. detection and segmentation, of cell nuclei is highly desirable compared to time-consuming manual processes. However, automated segmentation is challenging due to large intensity inhomogeneities in the cell nuclei and the background...
  2. ncbi request reprint A novel surface registration algorithm with biomedical modeling applications
    Heng Huang
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    IEEE Trans Inf Technol Biomed 11:474-82. 2007
    ..In order to achieve a suitable computational speed for practical applications, we propose a fast alignment algorithm that improves computational complexity of the new surface registration method from O(n3) to O(n2)...
  3. pmc Array CGH data modeling and smoothing in Stationary Wavelet Packet Transform domain
    Heng Huang
    Department of Computer Science and Engineering, University of Texas at Arlington, TX, USA
    BMC Genomics 9:S17. 2008
    ..In this paper, we propose stationary packet wavelet transform based approach to smooth array CGH data. Our purpose is to remove CGH noise in whole frequency while keeping true signal by using bivariate model...
  4. pmc Identifying disease sensitive and quantitative trait-relevant biomarkers from multidimensional heterogeneous imaging genetics data via sparse multimodal multitask learning
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, TX 76019, USA
    Bioinformatics 28:i127-36. 2012
    ..Traditional association studies typically perform independent and pairwise analysis among neuroimaging measures, cognitive scores and disease status, and ignore the important underlying interacting relationships between these units...
  5. pmc From phenotype to genotype: an association study of longitudinal phenotypic markers to Alzheimer's disease relevant SNPs
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, TX 76019, USA
    Bioinformatics 28:i619-i625. 2012
    ..How to identify the longitudinal phenotypic markers associated to disease sensitive SNPs is an important and challenging research topic...
  6. doi request reprint Stationary wavelet packet transform and dependent laplacian bivariate shrinkage estimator for array-CGH data smoothing
    Nha Nguyen
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, Texas 76019, USA
    J Comput Biol 17:139-52. 2010
    ..Meantime, we also propose a new synthetic data generation method for aCGH smoothing algorithms evaluation. In our new data model, the noise from real aCGH data is extracted and used to improve synthetic data generation...
  7. pmc Identifying quantitative trait loci via group-sparse multitask regression and feature selection: an imaging genetics study of the ADNI cohort
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    Bioinformatics 28:229-37. 2012
    ..New methods are proposed here to overcome this limitation...
  8. ncbi request reprint GaborLocal: peak detection in mass spectrum by Gabor filters and Gaussian local maxima
    Nha Nguyen
    Department of Electrical Engineering, University of Texas at Arlington, TX, USA
    Comput Syst Bioinformatics Conf 7:85-96. 2008
    ..We perform the proposed method on the real SELDI-TOF spectrum with known polypeptide positions. The experimental results demonstrate our method outperforms other common used methods in the receiver operating characteristic (ROC) curve...
  9. pmc Mass spectrometry data processing using zero-crossing lines in multi-scale of Gaussian derivative wavelet
    Nha Nguyen
    Department of Computer Science and Engineering, University of Texas, Arlington, TX, USA
    Bioinformatics 26:i659-65. 2010
    ..Third, in quantification step, the frequency, SD, height and rank of peaks are used to detect both high and small energy peaks with robustness to noise...
  10. pmc Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm
    Jingwen Yan
    BioHealth, Indiana University School of Informatics and Computing, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Computer Science and Engineering, The University of Texas at Arlington, TX 76019, USA and Genetics, Community and Family Medicine, Dartmouth Medical School, Lebanon, NH 03756, USA BioHealth, Indiana University School of Informatics and Computing, Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN 46202, USA, Computer Science and Engineering, The University of Texas at Arlington, TX 76019, USA and Genetics, Community and Family Medicine, Dartmouth Medical School, Lebanon, NH 03756, USA
    Bioinformatics 30:i564-71. 2014
    ..In this article, we propose a new knowledge-guided SCCA algorithm (KG-SCCA) to overcome this limitation as well as improve learning results by incorporating valuable prior knowledge...
  11. pmc A new sparse simplex model for brain anatomical and genetic network analysis
    Heng Huang
    Computer Science and Engineering, University of Texas at Arlington, TX, USA
    Med Image Comput Comput Assist Interv 16:625-32. 2013
    ..We validate our new model using the 4D ABA data, and the network construction results show the superior performance of the proposed sparse simplex model...
  12. doi request reprint Function-function correlated multi-label protein function prediction over interaction networks
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    J Comput Biol 20:322-43. 2013
    ..We evaluate the proposed approach on Saccharomyces cerevisiae data, and the experimental results demonstrate very encouraging results...
  13. doi request reprint Predicting protein-protein interactions from multimodal biological data sources via nonnegative matrix tri-factorization
    Hua Wang
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    J Comput Biol 20:344-58. 2013
    ....
  14. ncbi request reprint Peak detection in mass spectrometry by Gabor filters and envelope analysis
    Nha Nguyen
    Department of Computer Science and Engineering, University of Texas at Arlington, TX 76019, USA
    J Bioinform Comput Biol 7:547-69. 2009
    ..The experimental results demonstrate that our methods outperform other commonly used methods in the Receiver Operating Characteristic (ROC) curve...
  15. pmc Joint stage recognition and anatomical annotation of Drosophila gene expression patterns
    Xiao Cai
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    Bioinformatics 28:i16-24. 2012
    ..Due to the rapid increase in the number of such images and the inevitable bias annotations by human curators, it is necessary to develop an automatic method to recognize the developmental stage and annotate anatomical terms...
  16. pmc Solenoid and non-solenoid protein recognition using stationary wavelet packet transform
    An Vo
    The Feinstein Institute for Medical Research, North Shore LIJ Health System, NY, USA
    Bioinformatics 26:i467-73. 2010
    ....
  17. pmc Identifying Connectome Module Patterns via New Balanced Multi-Graph Normalized Cut
    Hongchang Gao
    Computer Science and Engineering, University of Texas at Arlington, TX, USA
    Med Image Comput Comput Assist Interv 9350:169-76. 2015
    ..We evaluated our method by analyzing the weighted fiber connectivity networks. ..
  18. doi request reprint Heterogeneous data fusion for brain tumor classification
    Vangelis Metsis
    Department of Computer Science and Engineering, University of Texas at Arlington, Arlington, TX 76019, USA
    Oncol Rep 28:1413-6. 2012
    ..Our experimental results show that our novel framework outperforms any analysis using individual dataset...
  19. pmc Identifying AD-sensitive and cognition-relevant imaging biomarkers via joint classification and regression
    Hua Wang
    Computer Science and Engineering, University of Texas at Arlington, TX, USA
    Med Image Comput Comput Assist Interv 14:115-23. 2011
    ....
  20. ncbi request reprint Cardiac motion analysis to improve pacing site selection in CRT
    Heng Huang
    Department of Computer Science, Dartmouth College, 6211 Sudikoff, Hanover, NH 03755, USA
    Acad Radiol 13:1124-34. 2006
    ..The aim of the study is to build cardiac wall motion models to characterize mechanical dyssynchrony and predict pacing sites for the left ventricle of the heart in cardiac resynchronization therapy (CRT)...
  21. ncbi request reprint A prediction framework for cardiac resynchronization therapy via 4D cardiac motion analysis
    Heng Huang
    Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA
    Med Image Comput Comput Assist Interv 8:704-11. 2005
    ....
  22. ncbi request reprint Surface alignment of 3D spherical harmonic models: application to cardiac MRI analysis
    Heng Huang
    Department of Computer Science, Dartmouth College, Hanover, NH 03755, USA
    Med Image Comput Comput Assist Interv 8:67-74. 2005
    ..g., spatio-temporal modeling of heart shape changes) are used to demonstrate this approach. Theoretical proofs and experimental results show that our approach is an accurate and flexible surface correspondence alignment method...