Y
Yue Joseph Wang
Researcher at Virginia Tech
Publications - 47
Citations - 629
Yue Joseph Wang is an academic researcher from Virginia Tech. The author has contributed to research in topics: Gene expression profiling & Visualization. The author has an hindex of 16, co-authored 47 publications receiving 599 citations. Previous affiliations of Yue Joseph Wang include Children's National Medical Center & The Catholic University of America.
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Proceedings ArticleDOI
Model-supported virtual environment for prostate cancer pattern analysis
Ping Yu,Maxine A. McClain,Jianhua Xuan,Yue Joseph Wang,Isabell A. Sesterhenn,Judd W. Moul,Wei Zhang,Seong Ki Mun +7 more
TL;DR: Preliminary results have shown that use of this 3D master model of the prostate allows correct understanding of prostate cancer distribution patterns and rational optimization of prostate biopsy and radiation therapy strategies.
Proceedings ArticleDOI
Mixture of principal axes registration: a neural computation approach
TL;DR: The experimental results show that the mPAR method not only improves the point correspondence but also results in a desirable error-resilience property for control point selection errors.
Journal ArticleDOI
Identification of condition-specific regulatory modules through multi-level motif and mRNA expression analysis.
TL;DR: The proposed multi-level strategy for condition-specific gene regulatory module identification by integrating motif binding information and gene expression data through support vector regression and significant analysis can successfully identify the significant and reliable regulatory modules associated with breast cancer.
Proceedings ArticleDOI
MR image-based tissue analysis and its clinical applications
Kun Huang,Jianhua Xuan,József Varga,Matthew T. Freedman,Zsolt Szabo,Daniel F. Hayes,Vered Stearns,Yue Joseph Wang +7 more
TL;DR: A 3-D segmentation method using the maximum likelihood (ML) classification and contextual Bayesian relaxation labeling (CBRL) is developed to obtain a consistent labeling solution, based on localized SFNM formulation by using neighborhood contextual regularities.
Journal Article
Rat Mammary Gland Analysis in T1 Weighted MR Images
TL;DR: A hierarchical approach to segmenting out rat body, mammary fat pads and glandular tissues in T1 weighted magnetic resonance (T1W-MR) images is proposed and can provide accurate measurements to assess novel risk factors for breast cancer.