AIMC Journal:
European journal of radiology
Showing 231 to 240 of 296 articles
Development of a deep learning-based algorithm for the automatic detection and quantification of aortic valve calcium.
European journal of radiology
Feb 6, 2021
PURPOSE: We aimed to develop a deep learning (DL)-based algorithm for automated quantification of aortic valve calcium (AVC) from non-enhanced electrocardiogram-gated cardiac CT scans and compare performance of DL-measured AVC volume and Agatston sco...
A multi-center study of COVID-19 patient prognosis using deep learning-based CT image analysis and electronic health records.
European journal of radiology
Feb 5, 2021
PURPOSE: As of August 30th, there were in total 25.1 million confirmed cases and 845 thousand deaths caused by coronavirus disease of 2019 (COVID-19) worldwide. With overwhelming demands on medical resources, patient stratification based on their ris...
Automatic detection of brain metastases on contrast-enhanced CT with deep-learning feature-fused single-shot detectors.
European journal of radiology
Jan 30, 2021
PURPOSE: Despite the potential usefulness, no automatic detector is available for brain metastases on contrast-enhanced CT (CECT). The study aims to develop and investigate deep learning-based detectors for brain metastases detection on CECT.
How does the radiology community discuss the benefits and limitations of artificial intelligence for their work? A systematic discourse analysis.
European journal of radiology
Jan 26, 2021
PURPOSE: We aimed to systematically analyse how the radiology community discusses the concept of artificial intelligence (AI), perceives its benefits, and reflects on its limitations.
Quantitative evaluation of chronically obstructed kidneys from noncontrast computed tomography based on deep learning.
European journal of radiology
Jan 10, 2021
OBJECTIVE: To quantitatively report renal parenchymal volume (RPV), renal sinus volume (RSV), and renal parenchymal density (RPD) for chronically obstructed kidneys from noncontrast computed tomography (NCCT).
Effect of CT reconstruction settings on the performance of a deep learning based lung nodule CAD system.
European journal of radiology
Jan 8, 2021
PURPOSE: To study the effect of different reconstruction parameter settings on the performance of a commercially available deep learning based pulmonary nodule CAD system.
Deep learning-based classification of lower extremity arterial stenosis in computed tomography angiography.
European journal of radiology
Jan 8, 2021
PURPOSE: The purpose of this study is to develop and evaluate a deep learning model to assist radiologists in classifying lower extremity arteries based on the degree of arterial stenosis caused by plaque in lower extremity computed tomography angiog...
Deep learning trained algorithm maintains the quality of half-dose contrast-enhanced liver computed tomography images: Comparison with hybrid iterative reconstruction: Study for the application of deep learning noise reduction technology in low dose.
European journal of radiology
Jan 5, 2021
PURPOSE: This study compares the image and diagnostic qualities of a DEep Learning Trained Algorithm (DELTA) for half-dose contrast-enhanced liver computed tomography (CT) with those of a commercial hybrid iterative reconstruction (HIR) method used f...
Diagnosing uterine cervical cancer on a single T2-weighted image: Comparison between deep learning versus radiologists.
European journal of radiology
Dec 5, 2020
PURPOSE: To compare deep learning with radiologists when diagnosing uterine cervical cancer on a single T2-weighted image.
Artiļ¬cial intelligence applications for oncological positron emission tomography imaging.
European journal of radiology
Nov 30, 2020
Positron emission tomography (PET), a functional and dynamic molecular imaging technique, is generally used to reveal tumors' biological behavior. Radiomics allows a high-throughput extraction of multiple features from images with artificial intellig...
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