Radiology

Nuclear Medicine

Latest AI and machine learning research in nuclear medicine for healthcare professionals.

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Exploiting network optimization stability for enhanced PET image denoising using deep image prior.

. Positron emission tomography (PET) is affected by statistical noise due to constraints on tracer d...

Deep Learning-Derived Cardiac Chamber Volumes and Mass From PET/CT Attenuation Scans: Associations With Myocardial Flow Reserve and Heart Failure.

BACKGROUND: Computed tomography (CT) attenuation correction scans are an intrinsic part of positron ...

Identification of HER2-over-expression, HER2-low-expression, and HER2-zero-expression statuses in breast cancer based on F-FDG PET/CT radiomics.

PURPOSE: According to the updated classification system, human epidermal growth factor receptor 2 (H...

Baseline [F]FP-CIT PET-based deep learning prediction of levodopa-induced dyskinesia in Parkinson's disease.

We aimed to develop a convolutional neural network (CNN) model with multi-task learning to predict t...

Learning-based multi-material CBCT image reconstruction with ultra-slow kV switching.

ObjectiveThe purpose of this study is to perform multiple () material decomposition with deep learni...

The Role of Radiomics and Artificial Intelligence Applied to Staging PSMA PET in Assessing Prostate Cancer Aggressiveness.

: PSMA PET is essential tool in the management of prostate cancer (PCa) patients in various clinical...

Deep learning for Parkinson's disease classification using multimodal and multi-sequences PET/MR images.

BACKGROUND: We aimed to use deep learning (DL) techniques to accurately differentiate Parkinson's di...

Impact of tracer uptake rate on quantification accuracy of myocardial blood flow in PET: A simulation study.

BACKGROUND: Cardiac perfusion PET is commonly used to assess ischemia and cardiovascular risk, which...

Innovations in artificial intelligence for pet/mr imaging: Application and performance analysis.

BackgroundThe primary challenges in PET/MR imaging include prolonged scan durations for both PET and...

Evaluating prostate cancer diagnostic methods: The role and relevance of digital rectal examination in modern era.

This review examines diagnostic methods for prostate cancer, focusing on the role of digital rectal ...

Machine learning prediction of tau-PET in Alzheimer's disease using plasma, MRI, and clinical data.

INTRODUCTION: Tau positron emission tomography (PET) is a reliable neuroimaging technique for assess...

Personalized prediction of breast cancer candidates for Anti-HER2 therapy using F-FDG PET/CT parameters and machine learning: a dual-center study.

BACKGROUND: Accurately evaluating human epidermal growth factor receptor (HER2) expression status in...

Predicting excellent response to radioiodine in differentiated thyroid cancer using machine learning.

OBJECTIVE: If excellent response (ER) occurs after radioactive iodine (RAI) treatment in patients wi...

Residual Neural Networks for the Prediction of the Regularization Parameters in PET Reconstruction.

Positron Emission Tomography (PET) is a medical imaging modality relying on numerical methods that i...

PET Myocardial Flow Reserve Estimation from 4D-Coronary-CT using Deep Neural Network.

The myocardial flow reserve (MFR) index proves to be a highly effective means of assessing the sever...

AmyloidPETNet: Classification of Amyloid Positivity in Brain PET Imaging Using End-to-End Deep Learning.

Background Visual assessment of amyloid PET scans relies on the availability of radiologist expertis...

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