2020/07: IEEE MIC abstract acceptance on PET kinetic modeling and deep-learning low-dose CT

By | August 3, 2020

Dr. Yang Zuo, Dr. Siqi Li, and graduate student Yiran Wang have three conference submissions accepted by the 2020 IEEE Nuclear Science Symposium & Medical Imaging Conference (NSS&MIC), all for oral presentation. The topics relate to PET kinetic modeling and deep-learning low-dose CT respectively.

  • Y Zuo, RD Badawi, CC Foster, T Smith, JE Lopez, GB Wang. Multiparametric Cardiac 18F-FDG PET in Humans: Kinetic Model Selection and Parametric Imaging. IEEE NSS&MIC, November 2020. accepted for oral presentation.
  • S Li, GB Wang. Parallel-Clone Networks for Deep-Learning Image Denoising in Low-Dose CT. IEEE NSS&MIC, November 2020. accepted for oral presentation.
  • Y Wang, Y Zuo, BA Spencer, J Schmall, RD Badawi, SR Cherry, GB Wang. Effect of Time Delay and Dual Blood Input on Liver Kinetic Quantification Using High-Temporal Resolution Dynamic PET. IEEE NSS&MIC, November 2020. accepted for oral presentation.

Graduate student Elizabeth Li, who is in the Cherry lab and co-supervised by Guobao Wang, also has her work on kinetic modeling accepted for oral presentation.

  • E Li, BA Spencer, JP Schmall, GB Wang, and SR Cherry. Pulse-timing methods for time delay estimation in dynamic total-body PET kinetic modeling. IEEE NSS&MIC, November 2020. accepted for oral presentation.