Latest AI and machine learning research in nuclear medicine for healthcare professionals.
The effectiveness and precision of disease diagnosis and treatment have increased, thanks to develop...
OBJECTIVE: The performance of 18 F-FDG PET-based radiomics and deep learning in detecting pathologic...
PURPOSE: No consensus on a grading system for invasive lung adenocarcinoma had been built over a lon...
PURPOSE: To investigate the image quality and diagnostic performance of low-contrast-dose liver CT u...
OBJECTIVE: The treatment with Lutetium PSMA (Lu-PSMA) in patients with metastatic castration-resista...
OBJECTIVES: The aim of the study is 18F-FDG PET/CT imaging by using deep learning method are predict...
. The quality of myocardial perfusion SPECT (MPS) images is often hampered by low count statistics. ...
PURPOSE: The axial field of view (AFOV) of a positron emission tomography (PET) scanner greatly affe...
Image reconstruction for positron emission tomography (PET) has been developed over many decades, wi...
INTRODUCTION: The aim of this feasibility study was to test the intraoperative use of this brand-new...
UNLABELLED: For dosimetry of radiopharmaceutical therapies, it is essential to determine the volume ...
PURPOSE: 2-[F]FDG PET/CT plays an important role in the management of pulmonary nodules. Convolution...
OBJECTIVE: Normal interictal [ F]FDG-PET can be predicted from the corresponding T1w MRI with Genera...
Deep learning (DL)-based denoising of low-dose positron emission tomography (LDPET) and low-dose com...
OBJECTIVE: To develop and independently externally validate robust prognostic imaging biomarkers dis...
: Surgical treatment for primary hyperparathyroidism (PHPT) has evolved from bilateral exploration t...
Dedicated MR imaging is highly performant for the evaluation of the primary lesion and should regula...
BACKGROUND: Respiratory motion induces artifacts in reconstructed cardiac perfusion SPECT images. Co...
Clinical prognostic scoring systems have limited utility for predicting treatment outcomes in lympho...
BACKGROUND AND OBJECTIVE: Generalizable and trustworthy deep learning models for PET/CT image segmen...
In recent years, artificial intelligence, particularly deep learning (DL), has demonstrated utility ...