Rainer Kargel
Forchheim, BY, Germany
Last Updated: 09/26/2026
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Found 8 publications
Performance of a deep learning tool to detect missed aortic dilatation in a large chest CT cohort.
Journal: Frontiers in cardiovascular medicine
Published: June 18, 2022
Assessing the Accuracy of an Artificial Intelligence-Based Segmentation Algorithm for the Thoracic Aorta in Computed Tomography Applications.
Journal: Diagnostics (Basel, Switzerland)
Published: April 23, 2022
Fully automated guideline-compliant diameter measurements of the thoracic aorta on ECG-gated CT angiography using deep learning.
Journal: Quantitative imaging in medicine and surgery
Published: February 09, 2021
Machine Learning and Deep Neural Network Applications in the Thorax: Pulmonary Embolism, Chronic Thromboembolic Pulmonary Hypertension, Aorta, and Chronic Obstructive Pulmonary Disease.
Journal: Journal of thoracic imaging
Published: April 10, 2020
Utilizing Artificial Intelligence to Determine Bone Mineral Density Via Chest Computed Tomography.
Journal: Journal of thoracic imaging
Published: February 22, 2020
The Technome - A Predictive Internal Calibration Approach for Quantitative Imaging Biomarker Research.
Journal: Scientific reports
Published: March 14, 2019
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.
Journal: Academic radiology
Published: April 07, 2017
Showing 1-8 of 8
Last Updated: 09/26/2026