We use a variety of techniques including conventional imaging, radiomics, deep learning, and contrast-enhanced ultrasound (CEUS) in the management of renal masses. These techniques are applied to the diagnosis, grading, staging, and management (including active surveillance) of renal masses.
Funding: RSNA, Whittier foundation, Deans and RSNA Medical Student Grants, Samsung healthcare
| Selected published Papers | PMID 29980960, 29305199, 28268233, 27331922, 26162845, 24680360 |
| Abstracts | Multiple abstracts at AIUM, AUA, RSNA, SPIE |
Current directions(ongoing):
a) Development of explainable models and decision support systems
b) Development of intelligent automation techniques
c) Federated learning in renal mass evaluation
