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Journal Abstract Search

456 related items for PubMed ID: 35059803

  • 1. High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses.
    Li W, Diao K, Wen Y, Shuai T, You Y, Zhao J, Liao K, Lu C, Yu J, He Y, Li Z.
    Eur Radiol; 2022 May; 32(5):2912-2920. PubMed ID: 35059803
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  • 4. A deep-learning reconstruction algorithm that improves the image quality of low-tube-voltage coronary CT angiography.
    Wang M, Fan J, Shi X, Qin L, Yan F, Yang W.
    Eur J Radiol; 2022 Jan; 146():110070. PubMed ID: 34856519
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  • 12. [The application of setting tube voltage and iodine delivery rate in weight-grouped for reducing the radiation and contrast medium dose in coronary CT angiography].
    Zhang Y, Wu JX, Wang Y, Yuan HS.
    Zhonghua Yi Xue Za Zhi; 2024 Mar 12; 104(10):751-757. PubMed ID: 38462355
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  • 13. Deep Learning Image Reconstruction Algorithm for CCTA: Image Quality Assessment and Clinical Application.
    Catapano F, Lisi C, Savini G, Olivieri M, Figliozzi S, Caracciolo A, Monti L, Francone M.
    J Comput Assist Tomogr; 2024 Mar 12; 48(2):217-221. PubMed ID: 37621087
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  • 14. Deep Learning Image Reconstruction for Transcatheter Aortic Valve Implantation Planning: Image Quality, Diagnostic Performance, Contrast volume and Radiation Dose Assessment.
    Zhang Y, Liu Z, Cheng Y, Wang Z, Li Z, Li J, Shuai T.
    Acad Radiol; 2024 Jun 12; 31(6):2268-2280. PubMed ID: 38472024
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  • 16. Validation of deep-learning image reconstruction for coronary computed tomography angiography: Impact on noise, image quality and diagnostic accuracy.
    Benz DC, Benetos G, Rampidis G, von Felten E, Bakula A, Sustar A, Kudura K, Messerli M, Fuchs TA, Gebhard C, Pazhenkottil AP, Kaufmann PA, Buechel RR.
    J Cardiovasc Comput Tomogr; 2020 Jun 12; 14(5):444-451. PubMed ID: 31974008
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  • 18. Improving image quality with deep learning image reconstruction in double-low-dose head CT angiography compared with standard dose and adaptive statistical iterative reconstruction.
    Huang X, Zhao W, Wang G, Wang Y, Li J, Li Y, Zeng Q, Guo J.
    Br J Radiol; 2023 Mar 12; 96(1143):20220625. PubMed ID: 36606518
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  • 19. [The application value of deep learning image reconstruction on improving image quality and evaluating the Qanadli embolism index of dual low-dose CT pulmonary angiography].
    Qiu SM, Zhang H, Liu ZX, Zhang L, Meng YK, Sun XN, Xie LX, Zhang YC, Wang H, Xu K.
    Zhonghua Yi Xue Za Zhi; 2023 May 23; 103(19):1477-1482. PubMed ID: 37198110
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