Sabee Molloi

Sabee Molloi is a Professor and Vice Chairman of Research in the Department of Radiological Sciences at the University of California, Irvine School of Medicine. His research focuses on medical imaging innovations, particularly in cardiac imaging, coronary artery flow measurement, and the application of AI to cardiovascular disease risk assessment. He holds affiliations with the Samueli School of Engineering, reflecting interdisciplinary work in biomedical engineering and applied physics.

Key research interests include digital radiography, CT perfusion imaging, and AI-driven analysis of mammograms and coronary artery calcium scans. His work emphasizes improving diagnostic accuracy, reducing radiation exposure, and developing automated segmentation techniques. Recent projects involve deep learning applications for breast arterial calcification segmentation and liver steatosis measurement.

Publications from 2025 highlight advancements in AI-based cardiovascular risk prediction, low-dose CT perfusion techniques, and material decomposition methods. Molloi has contributed to over 100 peer-reviewed articles, with a focus on translating imaging innovations into clinical practice.

He leads a research lab (https://circ.eng.uci.edu) and collaborates across disciplines to address challenges in medical imaging technology and cardiovascular disease assessment.