Research Themes
A Novel Paradigm for Ultrasound-based Intervention and Therapy
- Prostate Cancer Diagnosis Using Ultrasound Radio-Frequency Signals
- Ultrasound-guided Characterization of Interstitial Ablated Tissue Using RF Time Series: Feasibility Study
- Classification Between Different Malignancy Levels of Prostate Cancer Using Ultrasound RF Time Series
- Probabilistic modeling of Ultrasound Radio- Frequency Time Series Data for Characterizing Cancerous Regions
Bioinformatics and Systems Biology: Integrative Analysis of Multi-Scale, Multi-Modality Data
- Predictive Models for Identification of Molecular Signatures in Disease
- Modeling of Gene Regulatory Networks Using Neural Networks
- Modeling of Gene Regulatory Networks Using Dynamic Bayesian Networks
- integrated Complex Traits Network (iCTNet)
- Integrative Analysis of Gene Expression in Prostate Cancer
- Genetic Feature Selection Using Dimensionality Reduction Approaches