1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CV2024
POUR-Net: A Population-Prior-Aided Over-Under-Representation Network for Low-Count PET Attenuation Map Generation
Bo Zhou, Jun Hou, Tianqi Chen +10
Low-dose PET offers a valuable means of minimizing radiation exposure in PET imaging. However, the prevalent practice of employing additional CT scans for generating attenuation ma…
eess.IV2023★ 1 cited
Fast-MC-PET: A Novel Deep Learning-aided Motion Correction and Reconstruction Framework for Accelerated PET
Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang +7
Patient motion during PET is inevitable. Its long acquisition time not only increases the motion and the associated artifacts but also the patient's discomfort, thus PET accelerati…