Latest AI and machine learning research in nuclear medicine for healthcare professionals.
PURPOSE: To explore a multidomain fusion model of radiomics and deep learning features based on F-fl...
PURPOSE: Although SPECT myocardial perfusion imaging (MPI) is susceptible to artifacts from soft tis...
OBJECTIVES: PET/CT is a first-line tool for the diagnosis of lung cancer. The accuracy of quantifica...
In the last few years, deep learning has made a breakthrough and established its position in machine...
The study aims to implement a convolutional neural network framework that uses the 18F-FDG PET modal...
Our aim was to identify and quantify high coronary artery calcium (CAC) with deep learning (DL)-powe...
An objective biomarker to predict the outcome of isolated rapid eye movement sleep behavior disorder...
We evaluated and described the impact of prostatic indocyanine green (ICG) injection on extended pel...
OBJECTIVES: Pet robots are technology-based substitutes for live animals that have demonstrated psyc...
BACKGROUND: The World Health Organization reported that cardiovascular disease is the most common ca...
PURPOSE: We want to develop a model for predicting lymph node status based on positron emission comp...
Low-dose ungated CT attenuation correction (CTAC) scans are commonly obtained with SPECT/CT myocardi...
Despite the potential of deep learning (DL)-based methods in substituting CT-based PET attenuation a...
PURPOSE: Artificial intelligence (AI) has high diagnostic accuracy for coronary artery disease (CAD)...
. Neuroimaging uncovers important information about disease in the brain. Yet in Alzheimer's disease...
PURPOSE: Myocardial perfusion imaging (MPI) using single-photon emission-computed tomography (SPECT)...
To facilitate long-term engagement with social robots, emerging evidence suggests that modelling rob...
The recent introduction of hybrid positron emission tomography/magnetic resonance imaging (PET/MRI) ...
To improve diagnostic accuracy, myocardial perfusion imaging (MPI) SPECT studies can use CT-based at...
OBJECTIVES: To investigate the effect of deep learning image reconstruction (DLIR) on the accuracy o...
. Obtaining the intrinsic dose distributions in particle therapy is a challenging problem that needs...