Akos Varga-Szemes to Artificial Intelligence
This is a "connection" page, showing publications Akos Varga-Szemes has written about Artificial Intelligence.
Connection Strength
1.097
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Impact of Artificial Intelligence Assistance on Chest CT Interpretation Times: A Prospective Randomized Study. AJR Am J Roentgenol. 2022 Nov; 219(5):743-751.
Score: 0.175
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Another step to bring artificial intelligence closer to clinical application - noise reduction for late gadolinium enhancement. Int J Cardiol. 2021 12 15; 345:150-151.
Score: 0.167
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Emerging methods for the characterization of ischemic heart disease: ultrafast Doppler angiography, micro-CT, photon-counting CT, novel MRI and PET techniques, and artificial intelligence. Eur Radiol Exp. 2021 03 25; 5(1):12.
Score: 0.161
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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: 0.151
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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: 0.149
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The power and limitations of machine learning and artificial intelligence in cardiac CT. J Cardiovasc Comput Tomogr. 2018 May - Jun; 12(3):202-203.
Score: 0.132
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CNN-based evaluation of bone density improves diagnostic performance to detect osteopenia and osteoporosis in patients with non-contrast chest CT examinations. Eur J Radiol. 2023 Apr; 161:110728.
Score: 0.046
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Performance of an Artificial Intelligence-Based Platform Against Clinical Radiology Reports for the Evaluation of Noncontrast Chest CT. Acad Radiol. 2022 02; 29 Suppl 2:S108-S117.
Score: 0.040
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Automatic coronary calcium scoring in chest CT using a deep neural network in direct comparison with non-contrast cardiac CT: A validation study. Eur J Radiol. 2021 Jan; 134:109428.
Score: 0.039
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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: 0.038