AIMC Journal:
European radiology
Showing 171 to 180 of 621 articles
Deep learning reconstruction vs standard reconstruction for abdominal CT: the influence of BMI.
European radiology
Aug 31, 2023
OBJECTIVE: This study aimed to evaluate the image quality and lesion conspicuity of the deep learning image reconstruction (DLIR) algorithm compared with standard image reconstruction algorithms on abdominal enhanced computed tomography (CT) scanning...
Use of artificial intelligence in triaging of chest radiographs to reduce radiologists' workload.
European radiology
Aug 24, 2023
OBJECTIVES: To evaluate whether deep learning-based detection algorithms (DLD)-based triaging can reduce outpatient chest radiograph interpretation workload while maintaining noninferior sensitivity.
Accelerated 3D MR neurography of the brachial plexus using deep learning-constrained compressed sensing.
European radiology
Aug 22, 2023
OBJECTIVES: To explore the use of deep learning-constrained compressed sensing (DLCS) in improving image quality and acquisition time for 3D MRI of the brachial plexus.
Effects of a comprehensive brain computed tomography deep learning model on radiologist detection accuracy.
European radiology
Aug 22, 2023
OBJECTIVES: Non-contrast computed tomography of the brain (NCCTB) is commonly used to detect intracranial pathology but is subject to interpretation errors. Machine learning can augment clinical decision-making and improve NCCTB scan interpretation. ...
Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer.
European radiology
Aug 19, 2023
OBJECTIVE: This study aimed to establish a MRI-based deep learning radiomics (DLR) signature to predict the human epidermal growth factor receptor 2 (HER2)-low-positive status and further verified the difference in prognosis by the DLR model.
Comparison of manual and artificial intelligence based quantification of myocardial strain by feature tracking-a cardiovascular MR study in health and disease.
European radiology
Aug 18, 2023
OBJECTIVES: The analysis of myocardial deformation using feature tracking in cardiovascular MR allows for the assessment of global and segmental strain values. The aim of this study was to compare strain values derived from artificial intelligence (A...
Value of deep learning reconstruction of chest low-dose CT for image quality improvement and lung parenchyma assessment on lung window.
European radiology
Aug 15, 2023
OBJECTIVES: To explore the performance of low-dose computed tomography (LDCT) with deep learning reconstruction (DLR) for the improvement of image quality and assessment of lung parenchyma.
Deep learning enables the differentiation between early and late stages of hip avascular necrosis.
European radiology
Aug 15, 2023
OBJECTIVES: To develop a deep learning methodology that distinguishes early from late stages of avascular necrosis of the hip (AVN) to determine treatment decisions.
Deep learning-based assessment of CT markers of sarcopenia and myosteatosis for outcome assessment in patients with advanced pancreatic cancer after high-intensity focused ultrasound treatment.
European radiology
Aug 12, 2023
OBJECTIVES: To evaluate the prognostic value of CT-based markers of sarcopenia and myosteatosis in comparison to the Eastern Cooperative Oncology Group (ECOG) score for survival of patients with advanced pancreatic cancer treated with high-intensity ...
Towards reproducible radiomics research: introduction of a database for radiomics studies.
European radiology
Aug 12, 2023
OBJECTIVES: To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database.
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