Jesse Ahlquist
has recently had a conference submission accepted by SNMMI 2020 Annual Meeting for oral presentation. His work investigates the potential of state-of-the-art deep learning noise reduction for improving ultralow-dose CT imaging.
A specific significance of his work is for total-body PET/CT imaging using the EXPLORER scanner in the context of liver quantification (see a figure from his work).
Jesse was an undergraduate student and graduated in December 2019. We wish him all the best for his next adventure!