Latest AI and machine learning research in nuclear medicine for healthcare professionals.
Gastrinomas are neuroendocrine tumors characterized by gastrin overexpression - 80% are sporadic and...
One of the main technical challenges of PET/MRI is to achieve an accurate PET attenuation correction...
OBJECTIVE: Attenuation correction (AC) of positron emission tomography (PET) data poses a challenge ...
The influence of storage practices on physicochemical and microbial changes in crude palm oil (CPO) ...
We propose an ensemble of multilayer feedforward neural networks to estimate the 3D position of phot...
BACKGROUND: Our previous work with iodine meta-iodobenzylguanidine (I-mIBG) radionuclide imaging amo...
PURPOSE: Positron emission tomography (PET) is an important tool for nuclear medical imaging. It has...
Dual-tracer positron emission tomography (PET) is a promising technique to measure the distribution ...
Due to the recent developments of both hardware and software technologies, multimodality medical ima...
F-fluorodeoxyglucose positron emission tomography (FDG-PET) enables in-vivo capture of the topograp...
PURPOSE: This study investigated the potential of deep convolutional neural networks (CNN) for autom...
PURPOSE: Image quality of positron emission tomography (PET) is limited by various physical degradat...
Multiple sclerosis (MS) is the most common demyelinating disease. In MS, demyelination occurs in the...
Reducing radiation dose is important for PET imaging. However, reducing injection doses causes incre...
We propose a new method for generating synthetic CT images from modified Dixon (mDixon) MR data. The...
OBJECTIVE: Artificial neural network (ANN) technology has been developed for clinical use to analyze...
Untethered small-scale robots have great potential for biomedical applications. However, critical ba...
OBJECTIVE: Using CT texture analysis and machine learning methods, this study aims to distinguish th...
Given the complicated relationship between the magnetic resonance imaging (MRI) signals and the atte...
Application of kinetic modeling (KM) on a voxel level in dynamic PET images frequently suffers from ...
OBJECTIVE: Quantitative PET/MR imaging is challenged by the accuracy of synthetic CT (sCT) generatio...