Machine learning improves quality, quantitative accuracy of photoacoustic images acquired with low laser energy (Links to an external site)
Our work on the denoising technique by machine learning to improve the quality of photoacoustic images acquired with low laser energy is featured by McKelvey School of Engineering
Collaborative project with Yang Lab and Lee Lab funded by NIH/NINDS
Unprecedented opportunity’ to understand neurovascular recovery after stroke Song Hu, Lan Yang, Jin-Moo Lee, MD, PhD collaborate on NIH-funded work Beth Miller 08.26.2021 Each year in the U.S., nearly 800,000 people have a stroke, which leads to more than $46 billion spent annually in health care and related costs. A powerhouse team of researchers at […]
