Search Results - "Schoepf, U"
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Predictive Value of Computed Tomography in Acute Pulmonary Embolism: Systematic Review and Meta-analysis
Published in The American journal of medicine (01-07-2015)“…Abstract Background Many computed tomography (CT) parameters have been proposed as potential predictors of outcome in acute pulmonary embolism. We sought to…”
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Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT
Published in Radiology (01-11-2019)“…In this article, the authors discuss the technical background and summarize the current body of literature regarding virtual monoenergetic (VM) images derived…”
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A clinically applicable deep-learning model for detecting intracranial aneurysm in computed tomography angiography images
Published in Nature communications (30-11-2020)“…Intracranial aneurysm is a common life-threatening disease. Computed tomography angiography is recommended as the standard diagnosis tool; yet, interpretation…”
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State of the Art: Iterative CT Reconstruction Techniques
Published in Radiology (01-08-2015)“…Owing to recent advances in computing power, iterative reconstruction (IR) algorithms have become a clinically viable option in computed tomographic (CT)…”
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Cinematic Rendering in CT: A Novel, Lifelike 3D Visualization Technique
Published in American journal of roentgenology (1976) (01-08-2017)“…The purpose of this article is to present an overview of cinematic rendering, illustrating its potential advantages and applications. Volume-rendered…”
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Slow and Steady Wins the Race: Lower Heart Rates Improve Diagnostic Quality for Coronary CT Angiography
Published in Radiology (01-09-2021)Get full text
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A Brave New World: Toward Precision Phenotyping and Understanding of Coronary Artery Disease Using Radiomics Plaque Analysis
Published in Radiology (01-04-2021)Get full text
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Clinical applications of machine learning in cardiovascular disease and its relevance to cardiac imaging
Published in European heart journal (21-06-2019)“…Artificial intelligence (AI) has transformed key aspects of human life. Machine learning (ML), which is a subset of AI wherein machines autonomously acquire…”
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CT angiography after 20 years: a transformation in cardiovascular disease characterization continues to advance
Published in Radiology (01-06-2014)“…Through a marriage of spiral computed tomography (CT) and graphical volumetric image processing, CT angiography was born 20 years ago. Fueled by a series of…”
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Photon counting detectors – Not only a technical breakthrough, but also a new era in patient care?
Published in European journal of radiology (01-09-2022)Get full text
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11
CT in transcatheter aortic valve replacement
Published in Radiology (01-12-2013)“…Transcatheter aortic valve replacement is a new method to treat patients with symptomatic, severe aortic stenosis who are at high surgical risk. Short- and…”
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12
Coronary CT Angiography-derived Fractional Flow Reserve: Machine Learning Algorithm versus Computational Fluid Dynamics Modeling
Published in Radiology (01-07-2018)“…Purpose To compare two technical approaches for determination of coronary computed tomography (CT) angiography-derived fractional flow reserve (FFR)-FFR…”
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Coronary CT Angiography-derived Fractional Flow Reserve
Published in Radiology (01-10-2017)“…Invasive coronary angiography (ICA) with measurement of fractional flow reserve (FFR) by means of a pressure wire technique is the established reference…”
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Diagnostic accuracy of non-contrast quiescent-interval slice-selective (QISS) MRA combined with MRI-based vascular calcification visualization for the assessment of arterial stenosis in patients with lower extremity peripheral artery disease
Published in European radiology (01-05-2021)“…Objectives The proton density–weighted, in-phase stack-of-stars (PDIP-SOS) MRI technique provides calcification visualization in peripheral artery disease…”
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On-Site Computed Tomography–Derived Fractional Flow Reserve to Guide Management of Patients With Stable Coronary Artery Disease: The TARGET Randomized Trial
Published in Circulation (New York, N.Y.) (02-05-2023)“…Computed tomography-derived fractional flow reserve (CT-FFR) using on-site machine learning enables identification of both the presence of coronary artery…”
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Contrast Media for Coronary CT Angiography: Should an Iso-osmolar Agent Be Used?
Published in Radiology (01-01-2018)Get full text
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Oracle of Our Time: Machine Learning for Predicting Cardiovascular Events
Published in Radiology (01-08-2019)Get full text
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18
Dual-energy CT of the lung
Published in American journal of roentgenology (1976) (01-11-2012)“…The introduction of dual-energy CT (DECT) has ushered in the ability of material differentiation and tissue characterization beyond the traditional CT…”
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Radiomics: The Next Frontier of Cardiac Computed Tomography
Published in Circulation. Cardiovascular imaging (01-03-2021)“…Radiomics uses advanced image analysis to extract massive amounts of quantitative information from digital images, which is not otherwise distinguishable to…”
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Comparison of Diagnostic Value of a Novel Noninvasive Coronary Computed Tomography Angiography Method Versus Standard Coronary Angiography for Assessing Fractional Flow Reserve
Published in The American journal of cardiology (01-11-2014)“…Noninvasive fractional flow reserve (FFR) from coronary computed tomography angiography (cCTA) correlates well with invasive FFR and substantially improves the…”
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