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, Canon, and start-up fund from UF.
Sep 18th, 2025. One PhD position is available at Gong Lab. Please contact Dr. Gong for details.

News
Dec 15, 2025. Jiong’s paper on diffusion model-based image registration was accepted to Pattern Recognition (IF: 7.6). Congrats, Jiong!
July 2nd, 2025. Four oral presentations accepted to IEEE MIC 2025. Congrats, Boxiao, Fumio, Yang and Sangjin!
Feb 6th, 2025. Boxiao’s first journal paper on developing a Foundation Model for PET image denoising was accepted by EJNMMI (IF: 8.6). Congrats, Boxiao! Paper Link. Code Link.
Jan 2nd, 2025. Four papers accepted to ISBI 2025. Congrats, Jiong, Boxiao, Sangjin, and Yiyuan!
Oct 29th, 2024. Four papers accepted to SPIE Medical Imaging 2025. The topics are diffusion models-based denoising, registration, reconstruction, and kinetic modeling. Congrats, Heng, Jiong, Sangjin, and Ziqian!
July 22th, 2024. Our lab has been awarded a new R01 grant on developing diffusion models-based image reconstruction to improve Gallium-68 PET imaging for cancer diagnosis. We appreciate NIH’s support on our research. Cheers! Grant Link. UF BME News.
July 19th, 2024. We have been awarded an AI and Complex Computational Research Award from UF IT Research Computing with GPU support to advance our development of Foundation Models for PET Imaging. Cheers!
June 1st, 2024. Our lab has been awarded an industry grant from Canon Medical Research. Look forward to the fruitful collaboration with Canon!
May 21th, 2024. Boxiao’s work on 3D diffusion models for PET image denoising was early accepted by MICCAI. Congrats, Boxiao!
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! Grant Link.
July 7th, 2022. The website of Gong Lab is created.