Gong Lab @ UF BME

Our research includes medical imaging, deep learning, and data science. The research goal is to combine deep learning, biomedical imaging, and data science to further improve the diagnosis and treatment monitoring of various diseases, such as cancer and Alzheimer’s disease. To achieve this, our current research focuses on medical physics-informed deep learning to increase prediction robustness, multi-modality information integration for precision medicine, and clinical task-driven deep learning to enhance clinical translation. Our lab is affliated with UF BME. We have collaborations with Investigators at UF, MGH, Harvard Aging Brain Study, UCSF, UC Davis, and MD Anderson Cancer Center. Our research is supported by NIA, NIBIB and start-up fund from UF.

March 21, 2024: Two postdoc positions are availablein Gong Lab. More details please see Open Positions.

News
Dec 11th, 2023. Our work on designing novel Transformer networks for PET image quality enhancement was accepted by IEEE Transactions on Medical Imaging (IF: 10.6). Congrats to the first author Dr. Se-In Jang for this wonderful achievement. Paper link.
Sep 28th, 2023. Our work on MR-guided diffusion models for tau PET image denoising was accepted by EJNMMI (IF: 9.1). Cheers! Paper link.
Aug 15th, 2023. Our lab has moved to University of Florida. Look forward to the new adventure here!
Aug 1st, 2022. Our lab has been awarded an R01 grant on optimization of tau PET Imaging for Alzheimer’s Disease. Cheers!
July 7th, 2022. The website of Gong Lab is created.