AIMC Journal:
European radiology
Showing 421 to 430 of 621 articles
Sinogram-based deep learning image reconstruction technique in abdominal CT: image quality considerations.
European radiology
Apr 23, 2021
OBJECTIVES: To investigate the image quality and perception of a sinogram-based deep learning image reconstruction (DLIR) algorithm for single-energy abdominal CT compared to standard-of-care strength of ASIR-V.
Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study.
European radiology
Apr 22, 2021
OBJECTIVES: (1) To compare low-contrast detectability of a deep learning-based denoising algorithm (DLA) with ADMIRE and FBP, and (2) to compare image quality parameters of DLA with those of reconstruction methods from two different CT vendors (ADMIR...
Fetal MRI-based artificial intelligence in gestational age prediction--a practical solution to an unsolved problem?
European radiology
Apr 22, 2021
Joint segmentation and classification of hepatic lesions in ultrasound images using deep learning.
European radiology
Apr 21, 2021
OBJECTIVES: To develop a convolutional neural network system to jointly segment and classify a hepatic lesion selected by user clicks in ultrasound images.
Systematic review of research design and reporting of imaging studies applying convolutional neural networks for radiological cancer diagnosis.
European radiology
Apr 16, 2021
OBJECTIVES: To perform a systematic review of design and reporting of imaging studies applying convolutional neural network models for radiological cancer diagnosis.
Radiologists in the loop: the roles of radiologists in the development of AI applications.
European radiology
Apr 16, 2021
OBJECTIVES: To examine the various roles of radiologists in different steps of developing artificial intelligence (AI) applications.
Artificial intelligence in radiology: 100 commercially available products and their scientific evidence.
European radiology
Apr 15, 2021
OBJECTIVES: Map the current landscape of commercially available artificial intelligence (AI) software for radiology and review the availability of their scientific evidence.
Machine learning solutions in radiology: does the emperor have no clothes?
European radiology
Apr 15, 2021
• Interest in radiomics and machine learning is steadily increasing and is reflected both in research output and number of commercially available solutions.• Currently available commercial products using machine learning are often supported by limite...
Uncertainty measurement of radiomics features against inherent quantum noise in computed tomography imaging.
European radiology
Apr 14, 2021
OBJECTIVES: Quantum noise is a random process in X-ray-based imaging systems. We addressed and measured the uncertainty of radiomics features against this quantum noise in computed tomography (CT) images.
Deep learning model for predicting gestational age after the first trimester using fetal MRI.
European radiology
Apr 14, 2021
OBJECTIVES: To evaluate a deep learning model for predicting gestational age from fetal brain MRI acquired after the first trimester in comparison to biparietal diameter (BPD).
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