AIMC Journal:
European radiology

Showing 351 to 360 of 621 articles

Deep learning image reconstruction for improving image quality of contrast-enhanced dual-energy CT in abdomen.

European radiology Mar 3, 2022
OBJECTIVES: To evaluate the usefulness of deep learning image reconstruction (DLIR) to improve the image quality of dual-energy computed tomography (DECT) of the abdomen, compared to hybrid iterative reconstruction (IR).
Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Image Processing, Computer-Assisted Abdomen Iodine Humans Algorithms
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Pediatric age estimation from radiographs of the knee using deep learning.

European radiology Mar 1, 2022
OBJECTIVES: Age estimation, especially in pediatric patients, is regularly used in different contexts ranging from forensic over medicolegal to clinical applications. A deep neural network has been developed to automatically estimate chronological ag...
Humans Neural Networks, Computer Retrospective Studies Radiography Deep Learning Child Knee Adolescent
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Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.

European radiology Feb 24, 2022
OBJECTIVES: Chronic obstructive pulmonary disease (COPD) is underdiagnosed globally. The present study aimed to develop weakly supervised deep learning (DL) models that utilize computed tomography (CT) image data for the automated detection and stagi...
Disease Progression Humans Tomography, X-Ray Computed Spirometry Pulmonary Disease, Chronic Obstructive Deep Learning Retrospective Studies
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Improving interobserver agreement and performance of deep learning models for segmenting acute ischemic stroke by combining DWI with optimized ADC thresholds.

European radiology Feb 24, 2022
OBJECTIVES: To examine the role of ADC threshold on agreement across observers and deep learning models (DLMs) plus segmentation performance of DLMs for acute ischemic stroke (AIS).
Humans Deep Learning Observer Variation Ischemic Stroke Diffusion Magnetic Resonance Imaging Stroke
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Deep learning approach of diffusion-weighted imaging as an outcome predictor in laryngeal and hypopharyngeal cancer patients with radiotherapy-related curative treatment: a preliminary study.

European radiology Feb 24, 2022
OBJECTIVES: This preliminary study aimed to develop a deep learning (DL) model using diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC) maps to predict local recurrence and 2-year progression-free survival (PFS) in laryngeal an...
Retrospective Studies Hypopharyngeal Neoplasms Deep Learning Humans Chemoradiotherapy Neoplasm Recurrence, Local Prognosis Diffusion Magnetic Resonance Imaging
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Artificial intelligence system for identification of false-negative interpretations in chest radiographs.

European radiology Feb 23, 2022
OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI) system for the identification of false negatives in chest radiographs that were interpreted as normal by radiologists.
Radiography Radiologists Artificial Intelligence Radiography, Thoracic Humans Retrospective Studies Middle Aged
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Assessing the clinical performance of artificial intelligence software for prostate cancer detection on MRI.

European radiology Feb 23, 2022
Artificial Intelligence Software Magnetic Resonance Imaging Prostatic Neoplasms Male Humans Prostate
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Accelerating susceptibility-weighted imaging with deep learning by complex-valued convolutional neural network (ComplexNet): validation in clinical brain imaging.

European radiology Feb 19, 2022
OBJECTIVES: Susceptibility-weighted imaging (SWI) is crucial for the characterization of intracranial hemorrhage and mineralization, but has the drawback of long acquisition times. We aimed to propose a deep learning model to accelerate SWI, and eval...
Cerebral Hemorrhage Neuroimaging Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer Brain Neoplasms Deep Learning Brain
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COVID-19 mortality prediction in the intensive care unit with deep learning based on longitudinal chest X-rays and clinical data.

European radiology Feb 19, 2022
OBJECTIVES: We aimed to develop deep learning models using longitudinal chest X-rays (CXRs) and clinical data to predict in-hospital mortality of COVID-19 patients in the intensive care unit (ICU).
Radiography X-Rays Intensive Care Units Deep Learning Humans COVID-19
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Fully automated intracardiac 4D flow MRI post-processing using deep learning for biventricular segmentation.

European radiology Feb 17, 2022
OBJECTIVES: 4D flow MRI allows for a comprehensive assessment of intracardiac blood flow, useful for assessing cardiovascular diseases, but post-processing requires time-consuming ventricular segmentation throughout the cardiac cycle and is prone to ...
Magnetic Resonance Imaging Heart Heart Ventricles Humans Deep Learning Observer Variation Magnetic Resonance Imaging, Cine
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