Latest AI and machine learning research in radiology for healthcare professionals.
BACKGROUND: In proton therapy, it is disputed whether synthetic computed tomography (sCT), derived f...
PURPOSE: Convolutional Neural Networks (ConvNets) have quickly become popular machine learning techn...
PURPOSE/OBJECTIVE: Reliable detection of thoracic aortic dilatation (TAD) is mandatory in clinical r...
BACKGROUND: Deep learning (DL)-based methods have been used to improve the imaging quality of magnet...
Computational hemodynamics is increasingly being used to quantify hemodynamic characteristics in and...
In fluoroscopy-guided interventions (FGIs), obtaining large quantities of labelled data for deep lea...
AIMS: Indiscriminate coronary computed tomography angiography (CCTA) referrals for suspected coronar...
Magnetic resonance imaging (MRI) is increasingly being used to delineate morphological changes under...
BACKGROUND: Magnetic resonance imaging (MRI) is the gold standard for outcome prediction after hypox...
Artificial Intelligence (AI) is a broad discipline of computer science and engineering. Modern appli...
OBJECTIVES: Evaluation of in-stent restenosis (ISR), especially for small stents, remains challengin...
PURPOSE: The axial field of view (AFOV) of a positron emission tomography (PET) scanner greatly affe...
BACKGROUND AND OBJECTIVE: Phase contrast magnetic resonance imaging (4D flow MRI) is an imaging tech...
Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmon...
We propose a deep learning (DL) model and a hyperparameter optimization strategy to reconstruct T an...
In veterinary practice, thin-sliced thoracolumbar MRI is useful in detecting small lesions, especial...
In-flow phase-contrast tomography provides a 3D refractive index of label-free cells in cytometry sy...
The pectoralis muscle is an important indicator of respiratory muscle function and has been linked t...
Over the past decade, there has been a dramatic rise in the interest relating to the application of ...
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...