Latest AI and machine learning research in nuclear medicine for healthcare professionals.
PURPOSE: Recent development in positron emission tomography (PET) dramatically increased the effecti...
Multimodal neuroimaging data, including magnetic resonance imaging (MRI) and positron emission tomog...
The health, safety, and well-being of household pets such as cats has become a challenging task in p...
INTRODUCTION: Attenuation correction (AC) is necessary for accurate assessment of radioactive distri...
BACKGROUND: To develop an artificial intelligence (AI)-based model using Radiomics, deep learning (D...
Positron emission tomography (PET) utilizes radiotracers like [F]fluorodeoxyglucose (FDG) to measure...
Deep learning (DL) is becoming increasingly important in generating attenuation maps for accurate at...
Medical imaging plays a pivotal role in diagnostic medicine with technologies like Magnetic Resonanc...
BACKGROUND: In myocardial perfusion imaging (MPI) with single-photon emission computed tomography (S...
Infective endocarditis (IE) is a severe infection of the inner lining of the heart, known as the end...
Thyroid syndrome, a complex endocrine disorder, involves the dysregulation of the thyroid gland, imp...
OBJECTIVES: In this study, we propose an interpretable deep learning radiomics (IDLR) model based on...
INTRODUCTION: Multiplexed PET imaging revolutionized clinical decision-making by simultaneously capt...
At present, multimodal medical image fusion technology has become an essential means for researchers...
RATIONALE AND OBJECTIVES: Misregistration artifacts between the PET and attenuation correction CT (C...
PURPOSE: To compare the quality of deep learning image reconstructed (DLIR) virtual monochromatic im...
Despite the urgent need for accurate and robust observations of microplastics in the marine environm...
We aimed to evaluate the image quality and diagnostic performance of chronic lung allograft dysfunct...
BACKGROUND: Low-keV virtual monoenergetic images (VMIs) of dual-energy computed tomography (CT) enha...
A Support Vector Machine (SVM) based approach was developed to identify a pseudo-reference region fo...
OBJECTIVE: The aim of this study was to assess the effectiveness of a deep learning-based image cont...