AIMC Journal:
European journal of radiology

Showing 241 to 250 of 296 articles

Compressed sensing and deep learning reconstruction for women's pelvic MRI denoising: Utility for improving image quality and examination time in routine clinical practice.

European journal of radiology Nov 21, 2020
PURPOSE: To demonstrate the utility of compressed sensing with parallel imaging (Compressed SPEEDER) and AiCE compared with that of conventional parallel imaging (SPEEDER) for shortening examination time and improving image quality of women's pelvic ...
Signal-To-Noise Ratio Humans Female Middle Aged Deep Learning Magnetic Resonance Imaging Radiography
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Deep learning analysis provides accurate COVID-19 diagnosis on chest computed tomography.

European journal of radiology Nov 4, 2020
INTRODUCTION: Computed Tomography is an essential diagnostic tool in the management of COVID-19. Considering the large amount of examinations in high case-load scenarios, an automated tool could facilitate and save critical time in the diagnosis and ...
Tomography, X-Ray Computed Female Reproducibility of Results Humans Lung ROC Curve Sensitivity and Specificity COVID-19 Deep Learning Male Radiographic Image Interpretation, Computer-Assisted Middle Aged
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Deep learning reconstruction of equilibrium phase CT images in obese patients.

European journal of radiology Oct 28, 2020
PURPOSE: To compare abdominal equilibrium phase (EP) CT images of obese and non-obese patients to identify the reconstruction method that preserves the diagnostic value of images obtained in obese patients.
Deep Learning Obesity Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Humans Algorithms Tomography, X-Ray Computed
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Clinical utility of deep learning motion correction for T1 weighted MPRAGE MR images.

European journal of radiology Oct 27, 2020
PURPOSE: To evaluate the clinical utility of the application of a deep learning motion correction technique on 3D MPRAGE magnetic resonance images acquired in routine clinical practice.
Deep Learning Magnetic Resonance Imaging Motion Humans Brain Retrospective Studies
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Hierarchical fracture classification of proximal femur X-Ray images using a multistage Deep Learning approach.

European journal of radiology Oct 23, 2020
PURPOSE: Suspected fractures are among the most common reasons for patients to visit emergency departments and often can be difficult to detect and analyze them on film scans. Therefore, we aimed to design a Deep Learning-based tool able to help doct...
Radiography Femur X-Rays Humans Neural Networks, Computer Deep Learning
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Feasibility of automatic measurements of hip joints based on pelvic radiography and a deep learning algorithm.

European journal of radiology Sep 25, 2020
PURPOSE: To develop and evaluate an automatic measurement model for hip joints based on anteroposterior (AP) pelvic radiography and a deep learning algorithm.
Radiography Feasibility Studies Hip Joint Humans Algorithms Deep Learning
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CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer.

European journal of radiology Sep 11, 2020
PURPOSE: This work aimed to develop and validate a deep learning radiomics model for evaluating serosa invasion in gastric cancer.
Humans Stomach Neoplasms Retrospective Studies Deep Learning Tomography, X-Ray Computed Serous Membrane
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Value of MR-based radiomics in differentiating uveal melanoma from other intraocular masses in adults.

European journal of radiology Sep 8, 2020
PURPOSE: To assess the performance of machine learning (ML)-based magnetic resonance imaging (MRI) radiomics analysis for discriminating between uveal melanoma (UM) and other intraocular masses.
Contrast Media Magnetic Resonance Imaging Diagnosis, Differential Image Enhancement Uveal Neoplasms Uveal Melanoma ROC Curve Logistic Models Support Vector Machine Middle Aged Adolescent Child Female Adult Melanoma Humans Male Eye Neoplasms Reproducibility of Results Aged Retrospective Studies Young Adult
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Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning.

European journal of radiology Aug 28, 2020
PURPOSE: During the emerging COVID-19 pandemic, radiology departments faced a substantial increase in chest CT admissions coupled with the novel demand for quantification of pulmonary opacities. This article describes how our clinic implemented an au...
Betacoronavirus Software Humans Pneumonia, Viral Pandemics Neural Networks, Computer Tomography, X-Ray Computed COVID-19 SARS-CoV-2 Machine Learning Coronavirus Infections
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Machine learning-based radiomics analysis in predicting the meningioma grade using multiparametric MRI.

European journal of radiology Aug 28, 2020
PURPOSE: To investigate the prediction performance of radiomic models based on multiparametric MRI in predicting the meningioma grade.
Reproducibility of Results Meningioma Humans Male Meningeal Neoplasms Neoplasm Grading ROC Curve Machine Learning Middle Aged Multiparametric Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Predictive Value of Tests Retrospective Studies Preoperative Care Area Under Curve Female
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