Search Results - "Kärgel, Rainer"
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Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort
Published in Frontiers in cardiovascular medicine (22-08-2022)“…Purpose Thoracic aortic (TA) dilatation (TAD) is a risk factor for acute aortic syndrome and must therefore be reported in every CT report. However, the…”
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Publisher Correction: The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker Research
Published in Scientific reports (07-07-2020)“…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications
Published in Diagnostics (Basel) (23-07-2022)“…The aim was to evaluate the accuracy of a prototypical artificial intelligence-based algorithm for automated segmentation and diameter measurement of the…”
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The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker Research
Published in Scientific reports (24-01-2020)“…The goal of radiomics is to convert medical images into a minable data space by extraction of quantitative imaging features for clinically relevant analyses,…”
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Evaluation of Texture Analysis Parameter for Response Prediction in Patients with Hepatocellular Carcinoma Undergoing Drug-eluting Bead Transarterial Chemoembolization (DEB-TACE) Using Biphasic Contrast-enhanced CT Image Data: Correlation with Liver Perfusion CT
Published in Academic radiology (01-11-2017)“…This study aimed to evaluate the potential role of computed tomography texture analysis (CTTA) of arterial and portal-venous enhancement phase image data for…”
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Corrigendum to “Evaluation of Texture Analysis Parameter for Response Prediction in Patients with Hepatocellular Carcinoma Undergoing Drug-Eluting Bead Transarterial Chemoembolization (DEB-TACE) Using Biphasic Contrast-Enhanced CT Image Data Correlation with Liver Perfusion CT” [Acad Radiol 24 (2017): 1352–1363]
Published in Academic radiology (01-03-2020)Get full text
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Unraveling the interplay of image formation, data representation and learning in CT‐based COPD phenotyping automation: The need for a meta‐strategy
Published in Medical physics (Lancaster) (01-09-2021)“…Purpose In the literature on automated phenotyping of chronic obstructive pulmonary disease (COPD), there is a multitude of isolated classical machine learning…”
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Evaluation of Texture Analysis Parameter for Response Prediction in Patients with Hepatocellular Carcinoma Undergoing Drug-eluting Bead Transarterial Chemoembolization (DEB-TACE) Using Biphasic Contrast-enhanced CT Image Data
Published in Academic radiology (01-11-2017)“…This study aimed to evaluate the potential role of computed tomography texture analysis (CTTA) of arterial and portal-venous enhancement phase image data for…”
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Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learning
Published in Quantitative imaging in medicine and surgery (01-10-2021)“…Manually performed diameter measurements on ECG-gated CT-angiography (CTA) represent the gold standard for diagnosis of thoracic aortic dilatation. However,…”
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Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography
Published in Journal of thoracic imaging (01-05-2020)“…PURPOSE:The purpose of this study was to validate the accuracy of an artificial intelligence (AI) prototype application in determining bone mineral density…”
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