Radiology

Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

14,558 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 8065-8085 of 14,558 articles

Evaluation of the predictive ability of ultrasound-based assessment of breast cancer using BI-RADS natural language reporting against commercial transcriptome-based tests.

PURPOSE: The objective of this study was to assess the classification capability of Breast Imaging R...

Jan 2020 31923222

Biomarker Localization From Deep Learning Regression Networks.

Biomarker estimation methods from medical images have traditionally followed a segment-and-measure s...

Jan 2020 31940523

Bimodal Automated Carotid Ultrasound Segmentation Using Geometrically Constrained Deep Neural Networks.

For asymptomatic patients suffering from carotid stenosis, the assessment of plaque morphology is an...

Jan 2020 31944969

Contrast-Enhanced Ultrasound Quantification: From Kinetic Modeling to Machine Learning.

Ultrasound contrast agents (UCAs) have opened up immense diagnostic possibilities by combined use of...

Jan 2020 31924424

Improving Low-contrast Detectability and Noise Texture Pattern for Computed Tomography Using Iterative Reconstruction Accelerated with Machine Learning Method: A Phantom Study.

RATIONALE AND OBJECTIVES: To evaluate the performance of iterative reconstruction (IR) and filtered ...

Jan 2020 31918961

Artificial intelligence in multiparametric prostate cancer imaging with focus on deep-learning methods.

Prostate cancer represents today the most typical example of a pathology whose diagnosis requires mu...

Jan 2020 31951873

Machine Learning in Fetal Cardiology: What to Expect.

In fetal cardiology, imaging (especially echocardiography) has demonstrated to help in the diagnosis...

Jan 2020 31910421

Deep Learning of Imaging Phenotype and Genotype for Predicting Overall Survival Time of Glioblastoma Patients.

Glioblastoma (GBM) is the most common and deadly malignant brain tumor. For personalized treatment, ...

Jan 2020 31905135

A 3D deep convolutional neural network approach for the automated measurement of cerebellum tracer uptake in FDG PET-CT scans.

PURPOSE: The purpose of this work was to assess the potential of deep convolutional neural networks ...

Jan 2020 31855287

Deep Learning-Based Super-resolution Ultrasound Speckle Tracking Velocimetry.

Deep ultrasound localization microscopy (deep-ULM) allows sub-wavelength resolution imaging with dee...

Jan 2020 31917044

Accurate prediction of responses to transarterial chemoembolization for patients with hepatocellular carcinoma by using artificial intelligence in contrast-enhanced ultrasound.

OBJECTIVES: We aimed to establish and validate an artificial intelligence-based radiomics strategy f...

Jan 2020 31900703

Visual enhancement of Cone-beam CT by use of CycleGAN.

PURPOSE: Cone-beam computed tomography (CBCT) offers advantages over conventional fan-beam CT in tha...

Jan 2020 31840269

Super-resolution of cardiac magnetic resonance images using Laplacian Pyramid based on Generative Adversarial Networks.

BACKGROUND AND OBJECTIVE: Cardiac magnetic resonance imaging (MRI) can assist in both functional and...

Jan 2020 31935666

Localization of common carotid artery transverse section in B-mode ultrasound images using faster RCNN: a deep learning approach.

Cardiologists can acquire important information related to patients' cardiac health using carotid ar...

Jan 2020 31897798

Stand-alone artificial intelligence - The future of breast cancer screening?

Although computers have had a role in interpretation of mammograms for at least two decades, their i...

Jan 2020 31927164

Automatic multi-organ segmentation in dual-energy CT (DECT) with dedicated 3D fully convolutional DECT networks.

PURPOSE: Dual-energy computed tomography (DECT) has shown great potential in many clinical applicati...

Jan 2020 31816095

International evaluation of an AI system for breast cancer screening.

Screening mammography aims to identify breast cancer at earlier stages of the disease, when treatmen...

Jan 2020 31894144

Semantic segmentation with DenseNets for carotid artery ultrasound plaque segmentation and CIMT estimation.

BACKGROUND AND OBJECTIVE: The measurement of carotid intima media thickness (CIMT) in ultrasound ima...

Dec 2019 32143791

Bayesian Uncertainty Quantification with Multi-Fidelity Data and Gaussian Processes for Impedance Cardiography of Aortic Dissection.

In 2000, Kennedy and O'Hagan proposed a model for uncertainty quantification that combines data of s...

Dec 2019 33285833

A novel transcranial ultrasound imaging method with diverging wave transmission and deep learning approach.

Real time brain transcranial ultrasound imaging is extremely intriguing because of its numerous appl...

Dec 2019 31978869

Breast tumor classification through learning from noisy labeled ultrasound images.

PURPOSE: To train deep learning models to differentiate benign and malignant breast tumors in ultras...

Dec 2019 31837239

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