AIMC Journal:
European radiology
Showing 231 to 240 of 621 articles
Deep learning segmentation results in precise delineation of the putamen in multiple system atrophy.
European radiology
May 1, 2023
OBJECTIVES: The precise segmentation of atrophic structures remains challenging in neurodegenerative diseases. We determined the performance of a Deep Neural Patchwork (DNP) in comparison to established segmentation algorithms regarding the ability t...
Development and validation of a deep learning model for prediction of intracranial aneurysm rupture risk based on multi-omics factor.
European radiology
Apr 26, 2023
OBJECTIVE: The clinical ability of radiomics to predict intracranial aneurysm rupture risk remains unexplored. This study aims to investigate the potential uses of radiomics and explore whether deep learning (DL) algorithms outperform traditional sta...
Construction and evaluation of a gated high-resolution neural network for automatic brain metastasis detection and segmentation.
European radiology
Apr 25, 2023
OBJECTIVES: To construct and evaluate a gated high-resolution convolutional neural network for detecting and segmenting brain metastasis (BM).
Artificial intelligence in thoracic imaging: the transition from research to practice.
European radiology
Apr 25, 2023
Reproducibility of a combined artificial intelligence and optimal-surface graph-cut method to automate bronchial parameter extraction.
European radiology
Apr 18, 2023
OBJECTIVES: Computed tomography (CT)-based bronchial parameters correlate with disease status. Segmentation and measurement of the bronchial lumen and walls usually require significant manpower. We evaluate the reproducibility of a deep learning and ...
Deep learning-assisted diagnosis of benign and malignant parotid tumors based on contrast-enhanced CT: a multicenter study.
European radiology
Apr 17, 2023
OBJECTIVES: To develop deep learning-assisted diagnosis models based on CT images to facilitate radiologists in differentiating benign and malignant parotid tumors.
Aging-related volume changes in the brain and cerebrospinal fluid using artificial intelligence-automated segmentation.
European radiology
Apr 15, 2023
OBJECTIVES: To verify the reliability of the volumes automatically segmented using a new artificial intelligence (AI)-based application and evaluate changes in the brain and CSF volume with healthy aging.
Deep learning-based diagnosis of osteoblastic bone metastases and bone islands in computed tomograph images: a multicenter diagnostic study.
European radiology
Apr 15, 2023
OBJECTIVE: To develop and validate a deep learning (DL) model based on CT for differentiating bone islands and osteoblastic bone metastases.
Intelligent noninvasive meningioma grading with a fully automatic segmentation using interpretable multiparametric deep learning.
European radiology
Apr 13, 2023
OBJECTIVES: To establish a robust interpretable multiparametric deep learning (DL) model for automatic noninvasive grading of meningiomas along with segmentation.
The effect of hepatic steatosis on liver volume determined by proton density fat fraction and deep learning-measured liver volume.
European radiology
Apr 4, 2023
OBJECTIVES: We aimed to evaluate the effect of hepatic steatosis (HS) on liver volume and to develop a formula to estimate lean liver volume correcting the HS effect.
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