Radiology

Radiology

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

14,558 articles

Subcategories: Diagnostic Radiology Nuclear Medicine Therapeutic Radiology

Showing 7918-7938 of 14,558 articles

Deep Learning of Spatiotemporal Filtering for Fast Super-Resolution Ultrasound Imaging.

Super-resolution ultrasound (SR-US) imaging is a new technique that breaks the diffraction limit and...

Apr 2020 32305911

Brain tumor classification of virtual NMR voxels based on realistic blood vessel-induced spin dephasing using support vector machines.

Remodeling of tissue microvasculature commonly promotes neoplastic growth; however, there is no imag...

Apr 2020 32289884

Image Quality Assessment of Abdominal CT by Use of New Deep Learning Image Reconstruction: Initial Experience.

The purpose of this study was to perform quantitative and qualitative evaluation of a deep learning...

Apr 2020 32286872

Deep Learning Single-Frame and Multiframe Super-Resolution for Cardiac MRI.

Background Cardiac MRI is limited by long acquisition times, yet faster acquisition of smaller-matri...

Apr 2020 32286192

Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images.

Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the United States. When diagnosed a...

Apr 2020 32286452

Brain Medical Image Fusion Based on Dual-Branch CNNs in NSST Domain.

Computed tomography (CT) images show structural features, while magnetic resonance imaging (MRI) ima...

Apr 2020 32352003

Evaluating severity of white matter lesions from computed tomography images with convolutional neural network.

PURPOSE: Severity of white matter lesion (WML) is typically evaluated on magnetic resonance images (...

Apr 2020 32281028

Prediction of physical violence in schizophrenia with machine learning algorithms.

Patients with schizophrenia have been shown to have an increased risk for physical violence. While c...

Apr 2020 32361562

Surgical spectral imaging.

Recent technological developments have resulted in the availability of miniaturised spectral imaging...

Apr 2020 32375102

Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography.

PURPOSE: To evaluate the role of ensemble learning techniques with deep learning in classifying diab...

Apr 2020 32818081

Left ventricle automatic segmentation in cardiac MRI using a combined CNN and U-net approach.

Cardiovascular diseases can be effectively prevented from worsening through early diagnosis. To this...

Apr 2020 32325284

IOUC-3DSFCNN: Segmentation of Brain Tumors via IOU Constraint 3D Symmetric Full Convolution Network with Multimodal Auto-context.

Accurate segmentation of brain tumors from magnetic resonance (MR) images play a pivot role in assis...

Apr 2020 32277141

Nondestructive Detection of Targeted Microbubbles Using Dual-Mode Data and Deep Learning for Real-Time Ultrasound Molecular Imaging.

Ultrasound molecular imaging (UMI) is enabled by targeted microbubbles (MBs), which are highly refle...

Apr 2020 32286963

Deep Learning for Ultrasound Localization Microscopy.

By localizing microbubbles (MBs) in the vasculature, ultrasound localization microscopy (ULM) has re...

Apr 2020 32286964

Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model.

BACKGROUND AND AIMS: Preterm birth imposes a high risk for developing neuromotor delay. Earlier pred...

Apr 2020 32278897

Cardiac MR segmentation based on sequence propagation by deep learning.

Accurate segmentation of myocardial in cardiac MRI (magnetic resonance image) is key to effective ra...

Apr 2020 32271777

Applying Deep Neural Networks over Homomorphic Encrypted Medical Data.

In recent years, powered by state-of-the-art achievements in a broad range of areas, machine learnin...

Apr 2020 32351612

Diagnostic accuracy of texture analysis and machine learning for quantification of liver fibrosis in MRI: correlation with MR elastography and histopathology.

OBJECTIVES: To compare the diagnostic accuracy of texture analysis (TA)-derived parameters combined ...

Apr 2020 32270315

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