Radiology

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

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A deep learning approach for magnetization transfer contrast MR fingerprinting and chemical exchange saturation transfer imaging.

Semisolid magnetization transfer contrast (MTC) and chemical exchange saturation transfer (CEST) MRI...

Jul 2020 32679254
Towards subject-level cerebral infarction classification of CT scans using convolutional networks.

Automatic evaluation of 3D volumes is a topic of importance in order to speed up clinical decision m...

Jul 2020 32667947
Predicting PET Cerebrovascular Reserve with Deep Learning by Using Baseline MRI: A Pilot Investigation of a Drug-Free Brain Stress Test.

Background Cerebrovascular reserve (CVR) may be measured by using an acetazolamide test to clinicall...

Jul 2020 32662761
[Technological Innovations in Pulmonology - Examples from Diagnostics and Therapy].

A significant proportion of the current technological developments in pneumology originate from the ...

Jul 2020 32663891
Deep learning for glioblastoma segmentation using preoperative magnetic resonance imaging identifies volumetric features associated with survival.

BACKGROUND: Measurement of volumetric features is challenging in glioblastoma. We investigate whethe...

Jul 2020 32662042
Cross-scanner and cross-protocol multi-shell diffusion MRI data harmonization: Algorithms and results.

Cross-scanner and cross-protocol variability of diffusion magnetic resonance imaging (dMRI) data are...

Jul 2020 32673745
A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder.

The primary cone-beam computed tomography (CBCT) imaging beam scatters inside the patient and produc...

Jul 2020 32294626
The correlation of deep learning-based CAD-RADS evaluated by coronary computed tomography angiography with breast arterial calcification on mammography.

This study sought to evaluate the association of breast arterial calcification (BAC) on breast scree...

Jul 2020 32661231
Evaluating body composition by combining quantitative spectral detector computed tomography and deep learning-based image segmentation.

PURPOSE: Aim of this study was to develop and evaluate a software toolkit, which allows for a fully ...

Jul 2020 32717577
Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

PURPOSE: Real-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a p...

Jul 2020 32656685
Deep learning analysis in coronary computed tomographic angiography imaging for the assessment of patients with coronary artery stenosis.

BACKGROUND AND OBJECTIVE: Recently, deep convolutional neural network has significantly improved ima...

Jul 2020 32712571
3-D H-Scan Ultrasound Imaging and Use of a Convolutional Neural Network for Scatterer Size Estimation.

H-Scan ultrasound (US) is a new imaging technology that estimates the relative size of acoustic scat...

Jul 2020 32653207
Identifying diagnosis evidence of cardiogenic stroke from Chinese echocardiograph reports.

BACKGROUND: Cardiogenic stroke has increasing morbidity in China and brought economic burden to pati...

Jul 2020 32646410
Identifying Fatal Head Injuries on Postmortem Computed Tomography Using Convolutional Neural Network/Deep Learning: A Feasibility Study.

Postmortem computed tomography (PMCT) is a relatively recent advancement in forensic pathology pract...

Jul 2020 32639630
Diagnostic performance of fetal intelligent navigation echocardiography (FINE) in fetuses with double-outlet right ventricle (DORV).

The main objective of this study was to investigate the diagnostic performance of FINE in generating...

Jul 2020 32642877
Fully multi-target segmentation for breast ultrasound image based on fully convolutional network.

Ultrasound image segmentation plays an important role in computer-aided diagnosis of breast cancer. ...

Jul 2020 32638276
The first use of artificial intelligence (AI) in the ER: triage not diagnosis.

Predictions related to the impact of AI on radiology as a profession run the gamut from AI putting r...

Jul 2020 32643069
Can AI outperform a junior resident? Comparison of deep neural network to first-year radiology residents for identification of pneumothorax.

PURPOSE: To (1) develop a deep learning system (DLS) using a deep convolutional neural network (DCNN...

Jul 2020 32643070
Automatic Midline Identification in Transverse 2-D Ultrasound Images of the Spine.

Effective epidural needle placement and injection involves accurate identification of the midline of...

Jul 2020 32646685
Deep learning based detection of intracranial aneurysms on digital subtraction angiography: A feasibility study.

BACKGROUND: Digital subtraction angiography is the gold standard for detecting and characterising an...

Jul 2020 32633602
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