Radiology

Radiology

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

14,558 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 8380-8400 of 14,558 articles

Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.

Background Coronary CT angiography contains prognostic information but the best method to extract th...

Jun 2019 31237495

Anatomical context improves deep learning on the brain age estimation task.

Deep learning has shown remarkable improvements in the analysis of medical images without the need f...

Jun 2019 31247249

3D-CNN based discrimination of schizophrenia using resting-state fMRI.

MOTIVATION: This study reports a framework to discriminate patients with schizophrenia and normal he...

Jun 2019 31521248

Performance of a Deep-Learning Neural Network to Detect Intracranial Aneurysms from 3D TOF-MRA Compared to Human Readers.

PURPOSE: To study the clinical potential of a deep learning neural network (convolutional neural net...

Jun 2019 31227844

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.

This paper presents a method for automatic breast pectoral muscle segmentation in mediolateral obliq...

Jun 2019 31254729

Classification of benign and malignant lung nodules from CT images based on hybrid features.

The classification of benign and malignant lung nodules has great significance for the early detecti...

Jun 2019 31141794

Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm.

PURPOSE: An abdominal aortic aneurysm (AAA) is known as a cardiovascular disease involving localized...

Jun 2019 31218516

Diagnosis of Alzheimer's disease with Sobolev gradient-based optimization and 3D convolutional neural network.

Alzheimer's disease is a neuropsychiatric, progressive, also an irreversible disease. There is not a...

Jun 2019 31166647

Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Computed tomography angiography (CTA) collateral scoring can identify patients most likely to benefi...

Jun 2019 31216543

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Background Computational models on the basis of deep neural networks are increasingly used to analyz...

Jun 2019 31210611

Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss.

PURPOSE: Our goal was to use a generative adversarial network (GAN) with feature matching and task-s...

Jun 2019 31131901

Motion estimation and correction in cardiac CT angiography images using convolutional neural networks.

Cardiac motion artifacts frequently reduce the interpretability of coronary computed tomography angi...

Jun 2019 31299452

What can artificial intelligence teach us about the molecular mechanisms underlying disease?

While molecular imaging with positron emission tomography or single-photon emission computed tomogra...

Jun 2019 31190176

Comparison of F-FDG avidity at PET of benign and malignant pure ground-glass opacities: a paradox? Part II: artificial neural network integration of the PET/CT characteristics of ground-glass opacities to predict their likelihood of malignancy.

AIM: To assess the ability of artificial neural networks (ANNs) to predict the likelihood of maligna...

Jun 2019 31202569

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Scoring of Coronary Artery Disease Characteristics on Coronary CT Angiograms by Using Machine Learning.

Anatomical context improves deep learning on the brain age estimation task.

3D-CNN based discrimination of schizophrenia using resting-state fMRI.

Performance of a Deep-Learning Neural Network to Detect Intracranial Aneurysms from 3D TOF-MRA Compared to Human Readers.

Breast pectoral muscle segmentation in mammograms using a modified holistically-nested edge detection network.

Classification of benign and malignant lung nodules from CT images based on hybrid features.

Automatic Segmentation, Detection, and Diagnosis of Abdominal Aortic Aneurysm (AAA) Using Convolutional Neural Networks and Hough Circles Algorithm.

Diagnosis of Alzheimer's disease with Sobolev gradient-based optimization and 3D convolutional neural network.

Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans.

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms.

Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss.

Motion estimation and correction in cardiac CT angiography images using convolutional neural networks.

What can artificial intelligence teach us about the molecular mechanisms underlying disease?

Comparison of F-FDG avidity at PET of benign and malignant pure ground-glass opacities: a paradox? Part II: artificial neural network integration of the PET/CT characteristics of ground-glass opacities to predict their likelihood of malignancy.

MRI-only based synthetic CT generation using dense cycle consistent generative adversarial networks.

Fusing learned representations from Riesz Filters and Deep CNN for lung tissue classification.

A cascaded dual-pathway residual network for lung nodule segmentation in CT images.

A review on brain tumor segmentation of MRI images.

Fully Automated Segmentation of Lower Extremity Deep Vein Thrombosis Using Convolutional Neural Network.

Automatic brain tissue segmentation in fetal MRI using convolutional neural networks.

Deep convolutional neural networks for mammography: advances, challenges and applications.

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