Scholar
Guanghua Xiao
Google Scholar ID: 2Lm2u_oAAAAJ
UT Southwestern Medical Center
Citations & Impact
Citations
9,481
H-index
53
i10-index
128
Publications
20
Co-authors
8
list available
Contact
No contact links provided.
Publications
Resume (English only)
Research Experience
- PI or MPI on multiple grants funded by NCI, NIGMS, NIDCR, and CPRIT
- Among the first to develop and validate computational models using routine histopathology images to refine lung cancer prognosis (Luo et al, 2017; 2019)
- Developed deep learning models to detect tumor regions, micro-blood-vessels, and predict outcomes (Wang et al, 2018; Yi et al, 2018; Huang et al, 2017)
- Developed algorithms for cell detection and classification from tissue images (Wang et al, 2019; 2020)
- Created spatial models to study cell spatial organization and disease implications (Li et al, 2019; 2020)
- Developed statistical methodologies for Bayesian analysis, bioinformatics tools, and gene expression signatures for prognosis and chemotherapy response prediction
Background
- Professor at the O'Donnell School of Public Health, UT Southwestern Medical Center
- Secondary appointments in the Departments of Bioinformatics and Biomedical Engineering
- Holds the Mary Dees McDermott Hicks Chair in Medical Science
- Leads the Health Data Sciences Ph.D. program
- Research focuses on machine learning, spatial statistics, and high-dimensional data analysis
- Develops user-friendly software and tools for genomic and imaging data analysis
- Current research includes AI methods for pathology imaging and bioinformatics tools for spatial molecular profiling
