Congratulations to Dr. Siqi Li for receiving an Innovative Development Award from UC Davis Academic Federation. This award provides a pilot grant for Siqi to develop “Generalizable Deep Learning for Improving Pediatric PET Imaging.” He proposes developing a deep kernel model using a high-quality dataset collected from the ultra-high sensitivity total-body PET scanner EXPLORER. Once trained, this model can be used for tomographic image reconstruction across various scanners for low-dose or fast pediatric PET imaging.
This is also the first dedicated grant in our lab that focuses on pediatric PET imaging. Well done, Siqi!