AIMC Journal:
European radiology

Showing 201 to 210 of 621 articles

Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.

European radiology Jul 11, 2023
OBJECTIVES: To evaluate the effect of super-resolution deep-learning-based reconstruction (SR-DLR) on the image quality of coronary CT angiography (CCTA).
Humans Algorithms Retrospective Studies Coronary Angiography Radiographic Image Interpretation, Computer-Assisted Radiation Dosage Tomography, X-Ray Computed Deep Learning Plaque, Atherosclerotic Computed Tomography Angiography
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Deep learning-assisted LI-RADS grading and distinguishing hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT: a two-center study.

European radiology Jul 1, 2023
OBJECTIVES: To develop a deep learning (DL) method that can determine the Liver Imaging Reporting and Data System (LI-RADS) grading of high-risk liver lesions and distinguish hepatocellular carcinoma (HCC) from non-HCC based on multiphase CT.
Contrast Media Magnetic Resonance Imaging Tomography, X-Ray Computed Sensitivity and Specificity Liver Neoplasms Deep Learning Humans Carcinoma, Hepatocellular Retrospective Studies
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Combining deep learning and intelligent biometry to extract ultrasound standard planes and assess early gestational weeks.

European radiology Jul 1, 2023
OBJECTIVES: To develop and validate a fully automated AI system to extract standard planes, assess early gestational weeks, and compare the performance of the developed system to sonographers.
Humans Retrospective Studies Deep Learning Pregnancy Gestational Age Female Biometry Ultrasonography, Prenatal
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A deep learning method for the automated assessment of paradoxical pulsation after myocardial infarction using multicenter cardiac MRI data.

European radiology Jun 30, 2023
OBJECTIVE: The current study aimed to explore a deep convolutional neural network (DCNN) model that integrates multidimensional CMR data to accurately identify LV paradoxical pulsation after reperfusion by primary percutaneous coronary intervention w...
Magnetic Resonance Imaging Prospective Studies Humans Myocardial Infarction Deep Learning Neural Networks, Computer
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Pneumonia-Plus: a deep learning model for the classification of bacterial, fungal, and viral pneumonia based on CT tomography.

European radiology Jun 30, 2023
OBJECTIVES: This study aims to develop a deep learning algorithm, Pneumonia-Plus, based on computed tomography (CT) images for accurate classification of bacterial, fungal, and viral pneumonia.
Pneumonia, Bacterial Anti-Bacterial Agents Pneumonia, Viral Humans Tomography, X-Ray Computed Retrospective Studies Deep Learning
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A CT-based deep learning radiomics nomogram outperforms the existing prognostic models for outcome prediction in clear cell renal cell carcinoma: a multicenter study.

European radiology Jun 30, 2023
OBJECTIVES: To develop and validate a CT-based deep learning radiomics nomogram (DLRN) for outcome prediction in clear cell renal cell carcinoma (ccRCC), and its performance was compared with the Stage, Size, Grade, and Necrosis (SSIGN) score, the Un...
Carcinoma, Renal Cell Neoplasm Staging Tomography, X-Ray Computed Kidney Neoplasms Deep Learning Prognosis Humans Nomograms Retrospective Studies
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Feasibility of AI-assisted compressed sensing protocols in knee MR imaging: a prospective multi-reader study.

European radiology Jun 29, 2023
OBJECTIVES: To evaluate the image quality and diagnostic performance of AI-assisted compressed sensing (ACS) accelerated two-dimensional fast spin-echo MRI compared with standard parallel imaging (PI) in clinical 3.0T rapid knee scans.
Artificial Intelligence Prospective Studies Magnetic Resonance Imaging Feasibility Studies Humans Imaging, Three-Dimensional Knee Injuries
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Real-time, acquisition parameter-free voxel-wise patient-specific Monte Carlo dose reconstruction in whole-body CT scanning using deep neural networks.

European radiology Jun 27, 2023
OBJECTIVE: We propose a deep learning-guided approach to generate voxel-based absorbed dose maps from whole-body CT acquisitions.
Monte Carlo Method Phantoms, Imaging Whole Body Imaging Neural Networks, Computer Humans Tomography, X-Ray Computed Radiation Dosage
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Fully automated segmentation and radiomics feature extraction of hypopharyngeal cancer on MRI using deep learning.

European radiology Jun 20, 2023
OBJECTIVES: To use convolutional neural network for fully automated segmentation and radiomics features extraction of hypopharyngeal cancer (HPC) tumor in MRI.
Magnetic Resonance Imaging Hypopharyngeal Neoplasms Humans Deep Learning Image Processing, Computer-Assisted Reproducibility of Results
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Computerised emergency work-up for mass-like brain MRI lesions: can explainable AI support radiologists?

European radiology Jun 20, 2023
Multiparametric Magnetic Resonance Imaging Humans Artificial Intelligence Deep Learning Brain Magnetic Resonance Imaging Neoplasms
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