Jaewon Yang, PhD, is an Associate Specialist in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco. Dr. Yang's particular research interest is to develop practical and robust imaging techniques for quantitative PET and SPECT, providing a solution for the unmet needs of the current nuclear imaging systems.
Dr. Yang has extensively experienced quantitative data analysis using PET/MR data, developing PET quantitative imaging techniques readily applicable to daily clinics for attenuation correction and motion management.
Recently, he has completed the initial investigation of a direct image-to-image deep learning (DL) solution for simultaneous correction of attenuation and scatter in quantitative PET imaging. He continues to develop and validate the DL solution for clinical applications in commercial scanners that need practical and robust methods for quantitative PET and SPECT imaging.