Akos  Varga-Szemes  to  Radiographic Image Interpretation, Computer-Assisted
                            
                            
                                This is a "connection" page, showing publications  Akos  Varga-Szemes  has written about  Radiographic Image Interpretation, Computer-Assisted.
                            
                            
                            
                                
                                    
                                            
    
        
        
        
            Connection Strength
            
                
            
            2.266
         
        
        
     
 
    
        
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            Individualized coronary calcium scoring at any tube voltage using a kV-independent reconstruction algorithm. Eur Radiol. 2020 Nov; 30(11):5834-5840.
            
            
                Score: 0.139
             
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            Accuracy of an Artificial Intelligence Deep Learning Algorithm Implementing a Recurrent Neural Network With Long Short-term Memory for the Automated Detection of Calcified Plaques From Coronary Computed Tomography Angiography. J Thorac Imaging. 2020 May; 35 Suppl 1:S49-S57.
            
            
                Score: 0.139
             
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            Artificial Intelligence-based Fully Automated Per Lobe Segmentation and Emphysema-quantification Based on Chest Computed Tomography Compared With Global Initiative for Chronic Obstructive Lung Disease Severity of Smokers. J Thorac Imaging. 2020 May; 35 Suppl 1:S28-S34.
            
            
                Score: 0.139
             
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            Machine Learning/Deep Neuronal Network: Routine Application in Chest Computed Tomography and Workflow Considerations. J Thorac Imaging. 2020 May; 35 Suppl 1:S21-S27.
            
            
                Score: 0.139
             
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            Low-kV coronary artery calcium scoring with tin filtration using a kV-independent reconstruction algorithm. J Cardiovasc Comput Tomogr. 2020 May - Jun; 14(3):246-250.
            
            
                Score: 0.135
             
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            Evaluation of a Deep Learning-Based Automated CT Coronary Artery Calcium Scoring Algorithm. JACC Cardiovasc Imaging. 2020 02; 13(2 Pt 1):524-526.
            
            
                Score: 0.134
             
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            Influence of Coronary Calcium on Diagnostic Performance of Machine Learning CT-FFR: Results From MACHINE Registry. JACC Cardiovasc Imaging. 2020 03; 13(3):760-770.
            
            
                Score: 0.132
             
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            Artificial intelligence machine learning-based coronary CT fractional flow reserve (CT-FFRML): Impact of iterative and filtered back projection reconstruction techniques. J Cardiovasc Comput Tomogr. 2019 Nov - Dec; 13(6):331-335.
            
            
                Score: 0.125
             
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            Iterative beam-hardening correction with advanced modeled iterative reconstruction in low voltage CT coronary calcium scoring with tin filtration: Impact on coronary artery calcium quantification and image quality. J Cardiovasc Comput Tomogr. 2017 Sep - Oct; 11(5):354-359.
            
            
                Score: 0.114
             
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            Cinematic Rendering in CT: A Novel, Lifelike 3D Visualization Technique. AJR Am J Roentgenol. 2017 Aug; 209(2):370-379.
            
            
                Score: 0.113
             
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            CT coronary calcium scoring with tin filtration using iterative beam-hardening calcium correction reconstruction. Eur J Radiol. 2017 Jun; 91:29-34.
            
            
                Score: 0.112
             
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            Accuracy of Noncontrast Quiescent-Interval Single-Shot Lower Extremity MR Angiography Versus CT?Angiography for Diagnosis of Peripheral Artery Disease: Comparison With Digital Subtraction Angiography. JACC Cardiovasc Imaging. 2017 10; 10(10 Pt A):1116-1124.
            
            
                Score: 0.110
             
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            Virtual unenhanced imaging of the liver with third-generation dual-source dual-energy CT and advanced modeled iterative reconstruction. Eur J Radiol. 2016 Jul; 85(7):1257-64.
            
            
                Score: 0.105
             
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            Dual-Energy Computed Tomography Angiography of the Lower Extremity Runoff: Impact of Noise-Optimized Virtual Monochromatic Imaging on Image Quality and Diagnostic Accuracy. Invest Radiol. 2016 Feb; 51(2):139-46.
            
            
                Score: 0.103
             
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            Coronary CT angiography in obese patients using 3(rd) generation dual-source CT: effect of body mass index on image quality. Eur Radiol. 2016 Sep; 26(9):2937-46.
            
            
                Score: 0.103
             
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            Approaches to ultra-low radiation dose coronary artery calcium scoring based on 3rd generation dual-source CT: A phantom study. Eur J Radiol. 2016 Jan; 85(1):39-47.
            
            
                Score: 0.102
             
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            Optimization of contrast material administration for coronary CT angiography using a software-based test-bolus evaluation algorithm. Br J Radiol. 2022 May 01; 95(1133):20201456.
            
            
                Score: 0.039
             
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            Comparison of Artificial Intelligence-Based Fully Automatic Chest CT Emphysema Quantification to Pulmonary Function Testing. AJR Am J Roentgenol. 2020 05; 214(5):1065-1071.
            
            
                Score: 0.034
             
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            Review of Clinical Applications for Virtual Monoenergetic Dual-Energy CT. Radiology. 2019 11; 293(2):260-271.
            
            
                Score: 0.033
             
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            High-pitch low-voltage CT coronary artery calcium scoring with tin filtration: accuracy and radiation dose reduction. Eur Radiol. 2018 Jul; 28(7):3097-3104.
            
            
                Score: 0.030
             
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            Optimization of window settings for standard and advanced virtual monoenergetic imaging in abdominal dual-energy CT angiography. Abdom Radiol (NY). 2017 03; 42(3):772-780.
            
            
                Score: 0.028
             
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            Analysis of myocardial perfusion parameters in an ex-vivo porcine heart model using third generation dual-source CT. J Cardiovasc Comput Tomogr. 2017 Mar - Apr; 11(2):141-147.
            
            
                Score: 0.028
             
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            CT angiography for planning transcatheter aortic valve replacement using automated tube voltage selection: Image quality and radiation exposure. Eur J Radiol. 2017 Jan; 86:276-283.
            
            
                Score: 0.027
             
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            Coronary CT angiography derived morphological and functional quantitative plaque markers correlated with invasive fractional flow reserve for detecting hemodynamically significant stenosis. J Cardiovasc Comput Tomogr. 2016 May-Jun; 10(3):199-206.
            
            
                Score: 0.026
             
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            A noise-optimized virtual monochromatic reconstruction algorithm improves stent visualization and diagnostic accuracy for detection of in-stent re-stenosis in lower extremity run-off CT angiography. Eur Radiol. 2016 Dec; 26(12):4380-4389.
            
            
                Score: 0.026
             
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            Effect of automated tube voltage selection, integrated circuit detector and advanced iterative reconstruction on radiation dose and image quality of 3rd generation dual-source aortic CT angiography: An intra-individual comparison. Eur J Radiol. 2016 May; 85(5):972-8.
            
            
                Score: 0.026
             
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            Automated tube voltage selection for radiation dose and contrast medium reduction at coronary CT angiography using 3(rd) generation dual-source CT. Eur Radiol. 2016 Oct; 26(10):3608-16.
            
            
                Score: 0.026