Latest AI and machine learning research in nuclear medicine for healthcare professionals.
The generation of Synthetic Computed Tomography (sCT) images has become a pivotal methodology in mod...
OBJECTIVES: Multiplexed Positron Emission Tomography (PET) imaging allows simultaneous acquisition o...
Positron emission tomography (PET) imaging technology is widely used for diagnosing Alzheimer's dise...
PET imaging has become a valuable tool for assessing atherosclerosis by targeting key processes such...
BACKGROUND: Accurate quantitative PET imaging in neurological studies requires proper attenuation co...
We propose a cascaded 3D diffusion model framework to synthesize high-fidelity 3D PET/CT volumes d...
SAPHO syndrome is an inflammatory disorder with bone and cutaneous manifestations, for which whole-b...
Biliary tract cancer (BTC) is a group of heterogeneous sporadic diseases, including intrahepatic, hi...
Deep learning models are increasingly being implemented for automated medical image analysis to info...
. Positron emission tomography with 2-deoxy-2-[fluorine-18]fluoro-D-glucose integrated with computed...
Dynamic FDG PET imaging study of n = 52 rats including 26 control Wistar-Kyoto (WKY) rats and 26 e...
Multi-modal medical image fusion (MMIF) is increasingly recognized as an essential technique for e...
. Positron emission tomography (PET) is affected by statistical noise due to constraints on tracer d...
BACKGROUND: Computed tomography (CT) attenuation correction scans are an intrinsic part of positron ...
Background and Objective. Research in the cross-modal medical image translation domain has been ve...
We aimed to develop a convolutional neural network (CNN) model with multi-task learning to predict t...
PURPOSE: According to the updated classification system, human epidermal growth factor receptor 2 (H...
ObjectiveThe purpose of this study is to perform multiple () material decomposition with deep learni...
In Single Photon Emission Computed Tomography (SPECT), the image reconstruction process involves m...
BACKGROUND: We aimed to use deep learning (DL) techniques to accurately differentiate Parkinson's di...
PURPOSE: To evaluate the diagnostic performance of the PET Assisted Reporting System (PARS) in nasop...