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Artificial intelligence in diagnostic and interventional radiology: Where are we now?
Available online 6 December 2022Author links open overlay panelAbstractThe emergence of massively parallel yet affordable ...
Prediction of new cerebral ischemic lesion after carotid artery stenting: a high-resolution vessel wall MRI-based radiomics analysis
Prediction of new cerebral ischemic lesion after carotid artery stenting: a high-resolution vessel wall MRI-based radiomics analysis
Carotid artery stenting (CAS) is an established treatment for local stenosis. The most common complication is new ipsilate...
Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids
Diffusion-weighted MRI with deep learning for visualizing treatment results of MR-guided HIFU ablation of uterine fibroids
No method is available to determine the non-perfused volume (NPV) repeatedly during magnetic resonance–guided high-i...
An improved diagnostic algorithm for subcentimeter hepatocellular carcinoma on gadoxetic acid–enhanced MRI
An improved diagnostic algorithm for subcentimeter hepatocellular carcinoma on gadoxetic acid–enhanced MRI
Accurate diagnosis of subcentimeter hepatocellular carcinoma (HCC) is a challenge also with gadoxetic acid–enhanced ...
Value of CEUS combined with feeding artery ablation in the microwave ablation of large solid benign thyroid nodules
Value of CEUS combined with feeding artery ablation in the microwave ablation of large solid benign thyroid nodules
To investigate the value of contrast-enhanced ultrasound (CEUS) combined with feeding artery ablation in the microwave abl...
A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage
A machine learning approach for predicting perihematomal edema expansion in patients with intracerebral hemorrhage
Preventing the expansion of perihematomal edema (PHE) represents a novel strategy for the improvement of neurological outc...
Towards universal comparability of pericoronary adipose tissue attenuation: a coronary computed tomography angiography phantom study
Towards universal comparability of pericoronary adipose tissue attenuation: a coronary computed tomography angiography phantom study
Different computed tomography (CT) scanners, variations in acquisition protocols, and technical parameters employed for im...
Evaluation of biopsy results during vertebral augmentation in patients with a known history of malignancy
Evaluation of biopsy results during vertebral augmentation in patients with a known history of malignancy
To evaluate biopsy results during vertebral augmentation in vertebral compression fracture (VCF) patients with a known his...
Application of the long axial field-of-view PET/CT with low-dose [18F]FDG in melanoma
Application of the long axial field-of-view PET/CT with low-dose [18F]FDG in melanoma
The recent introduction of long axial field-of-view (LAFOV) PET/CT scanners has yielded very promising results regarding i...
Radiomic-Based machine learning model for the accurate prediction of prostate cancer risk stratification
Radiomic-Based machine learning model for the accurate prediction of prostate cancer risk stratification
Objectives:To precisely predict PCa risk stratification, we constructed a machine learning (ML) model based on magnetic re...
MRI and the control of electromagnetic fields at work regulations 2016 – Professional Body Guidance
MRI and the control of electromagnetic fields at work regulations 2016 – Professional Body Guidance
The Control of Electromagnetic Fields at Work Regulations (2016) implement the requirements of the EU Physical Agents (Ele...
Optimised conformal total body irradiation: a heterogeneous practice, so where next?
Optimised conformal total body irradiation: a heterogeneous practice, so where next?
The use of volumetric arc therapy (VMAT) and inverse planning has been in routine use in radiotherapy for two decades. How...
Enhanced effect of X-rays in the presence of a static magnetic field within a 3d pancreatic cancer model
Enhanced effect of X-rays in the presence of a static magnetic field within a 3d pancreatic cancer model
Objective:To evaluate the impact of static magnetic field (SMF) presence on the radiation response of pancreatic cancer ce...
Convolutional Neural Networks for Classifying Cervical Cancer Types Using Histological Images
Convolutional Neural Networks for Classifying Cervical Cancer Types Using Histological Images
Cervical cancer is the most common cancer among women worldwide. The diagnosis and classification of cancer are extremely ...
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation
Calibrating the Dice Loss to Handle Neural Network Overconfidence for Biomedical Image Segmentation
The Dice similarity coefficient (DSC) is both a widely used metric and loss function for biomedical image segmentation due...
Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising
Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising
Image denoising is an important preprocessing step in low-level vision problems involving biomedical images. Noise removal...