Purpose Image quality of positron emission tomography (PET) is limited by various physical
degradation factors. Our study aims to perform PET image denoising by utilizing prior …

Commonsense reasoning, aiming at endowing machines with a human-like ability to make
situational presumptions, is extremely challenging to generalize. For someone who barely …

The task of zero-shot commonsense question answering evaluates models on their capacity
to reason about general scenarios beyond those presented in specific datasets. Existing …

Background [ 18 F]FDG imaging on total-body PET/CT (TB PET/CT) scanners, with improved
sensitivity, offers new potentials for cancer diagnosis, staging, and radiation treatment …

Objectives The purpose of this study was to evaluate the feasibility and diagnostic performance
of prostate-specific membrane antigen (PSMA) based 18 F-DCFPyL PET/CT-ultrasound (…

Cerebral β-amyloid deposits and regional glucose metabolism assessed by PET are used to
distinguish between Alzheimer disease (AD) and other dementia syndromes. In the present …

Total-body (TB) PET/CT is a groundbreaking tool that has brought about a revolution in both
clinical application and scientific research. The transformative impact of TB PET/CT in the …

… Baixuan Xu … Hongcheng Shi and Baixuan Xu designed the study and contributed to
editing and reviewing the manuscript. All authors read and approved the final manuscript. …

Purpose Parametric imaging using the Patlak model has been shown to provide improved
lesion detectability and specificity. The Patlak model requires both tissue time–activity curves (…

Conventional positron emission tomography (PET) image reconstruction is achieved by the
statistical iterative method. Deep learning provides another opportunity for speeding up the …