Research areas

Our overarching research goal centers on trustworthy clinical/translational medical imaging AI development, dissemination, and commercialization that is essential to bringing AI imaging tools/software/informatics to clinical practice.

The core AI research spectrum consists of image acquisitions, computational analyses, methodology innovations, theory discovery, clinical evaluations, translational applications, incorporating knowledge, linkage to biological underpinnings, expandability, safety issues, fairness, reproducibility, ethics, and bias-mitigation.

From the data perspective, our research covers data curation, data privacy, quality improvement, data harmonization, data annotation, domain adaptation, etc.