Author Archives: Wang

Guobao has been promoted to the rank of Full Professor with tenure, effective on July 1st, 2023.

At the Northern California Chapter of the AAPM 2023 Young Investigator Symposium held on May 19 in San Francisco, Dr. Siqi Li tied for first place for his talk “Dynamic PET Image Reconstruction using Single-Subject Deep Kernel Learning” in the postdoc category. Congratulations, Siqi!

Dr. Kevin Chung joins our lab starting on May 1st, 2023. Dr. Chung received his Ph.D. in Medical Biophysics from the University of Western Ontario, Canada in early 2023. He developed methods and software for low-dose CT perfusion imaging and also has direct experience in PET kinetic modeling. Kevin will work on total-body PET kinetic… Read More »

Our lab has multiple abstracts accepted for presentation at the Fully3D 2023 and SNMMI 2023. One abstract on dynamic PET image reconstruction for Fully3D 2023: Siqi Li, Wang GB. Deep kernel representation learning for high-temporal resolution dynamic PET image reconstruction, accepted for oral presentation, Fully3D 2023 Conference, July 16-21, 2023 Three abstracts on total-body PET… Read More »

Xiaoyu Duan, a graduate student of the Biomedical Engineering Graduate Group (BMEGG), joins the lab to work on total-body PET kinetic modeling. She will be jointly supervised by Dr. Guobao Wang and Dr. Ramsey Badawi. Welcome, Xiaoyu!

Our lab received a new NIH R01 grant entitled “Single-tracer Multiparametric PET Imaging” from NIBIB. The goal of this project is to develop a parametric PET method to enable the widely accessible radiotracer 18F-FDG for quantitative blood flow imaging. Thanks to all the collaborators!

In the 2022 UC Davis Radiology Research Symposium, Yiran received the “Best Abstract by a Graduate Student” for his work “Multi-organ metabolic changes in COVID-19 recovery measured with total-body dynamic 18F-FDG PET”. Quyen also received the “Best Abstract by a Postdoctoral Fellow” for his work “Interstitial Space Properties of 18F-FDG in Nonalcoholic Fatty Liver Disease”.… Read More »

Congratulations to Siqi Li, Yansong Zhu and Yiran Wang for their conference abstracts accepted by IEEE MIC 2022 and Total-body PET 2022: Siqi Li, GB Wang. Learning of deep kernels with pairwise attention for PET Image reconstruction. 2022 IEEE Nuclear Sciences Symposium and Medical Imaging Conference (NSS&MIC), Milan, Italy. 5-12 November 2022. Accepted for oral… Read More »

Our lab has multiple abstract submissions on PET tracer kinetic modeling accepted for oral presentation or poster presentation at SNMMI Annual Meeting 2022: Yiran Wang, L Nardo, BA. Spencer, Y Abdelhafez, AJ Chaudhari, RD Badawi, SR Cherry, GB Wang, Multi-organ metabolic changes in COVID-19 recovery measured with total-body dynamic 18F-FDG PET, accepted for oral presentation,… Read More »

Dr. Siqi Li presented his recent work on a deep kernel method for PET image reconstruction at the SPIE Medical Imaging 2022 held in San Diego. This is his first time presenting in person at an international conference in the pandemic, though he already presented three other talks virtually at IEEE-MIC 2021, SPIE Medical Imaging… Read More »