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Journal Abstract Search

224 related items for PubMed ID: 35084210

  • 1. Application of deep learning image reconstruction in low-dose chest CT scan.
    Wang H, Li LL, Shang J, Song J, Liu B.
    Br J Radiol; 2022 May 01; 95(1133):20210380. PubMed ID: 35084210
    [Abstract] [Full Text] [Related]

  • 2. Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise.
    Kim JH, Yoon HJ, Lee E, Kim I, Cha YK, Bak SH.
    Korean J Radiol; 2021 Jan 01; 22(1):131-138. PubMed ID: 32729277
    [Abstract] [Full Text] [Related]

  • 3. The efficacy of low-dose CT with deep learning image reconstruction in the surveillance of incidentally detected pancreatic cystic lesions.
    Koh S, Lee NK, Kim S, Hong SB, Kim DU, Han SY.
    Abdom Radiol (NY); 2023 Aug 01; 48(8):2585-2595. PubMed ID: 37204510
    [Abstract] [Full Text] [Related]

  • 4. Improved overall image quality in low-dose dual-energy computed tomography enterography using deep-learning image reconstruction.
    Lin X, Gao Y, Zhu C, Song J, Liu L, Li J, Wu X.
    Abdom Radiol (NY); 2024 Sep 01; 49(9):2979-2987. PubMed ID: 38480547
    [Abstract] [Full Text] [Related]

  • 5. Image Quality and Lesion Detectability of Lower-Dose Abdominopelvic CT Obtained Using Deep Learning Image Reconstruction.
    Park J, Shin J, Min IK, Bae H, Kim YE, Chung YE.
    Korean J Radiol; 2022 Apr 01; 23(4):402-412. PubMed ID: 35289146
    [Abstract] [Full Text] [Related]

  • 6. Image quality improvement in low-dose chest CT with deep learning image reconstruction.
    Tian Q, Li X, Li J, Cheng Y, Niu X, Zhu S, Xu W, Guo J.
    J Appl Clin Med Phys; 2022 Dec 01; 23(12):e13796. PubMed ID: 36210060
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  • 9. Deep Learning Reconstruction Shows Better Lung Nodule Detection for Ultra-Low-Dose Chest CT.
    Jiang B, Li N, Shi X, Zhang S, Li J, de Bock GH, Vliegenthart R, Xie X.
    Radiology; 2022 Apr 01; 303(1):202-212. PubMed ID: 35040674
    [Abstract] [Full Text] [Related]

  • 10. Iterative reconstruction vs deep learning image reconstruction: comparison of image quality and diagnostic accuracy of arterial stenosis in low-dose lower extremity CT angiography.
    Qu T, Guo Y, Li J, Cao L, Li Y, Chen L, Sun J, Lu X, Guo J.
    Br J Radiol; 2022 Dec 01; 95(1140):20220196. PubMed ID: 36341682
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  • 11. Clinical value of deep learning image reconstruction on the diagnosis of pulmonary nodule for ultra-low-dose chest CT imaging.
    Zheng Z, Ai Z, Liang Y, Li Y, Wu Z, Wu M, Han Q, Ma K, Xiang Z.
    Clin Radiol; 2024 Aug 01; 79(8):628-636. PubMed ID: 38749827
    [Abstract] [Full Text] [Related]

  • 12. Image Quality Improvement of Low-dose Abdominal CT using Deep Learning Image Reconstruction Compared with the Second Generation Iterative Reconstruction.
    Kang HJ, Lee JM, Park SJ, Lee SM, Joo I, Yoon JH.
    Curr Med Imaging; 2024 Aug 01; 20():e250523217310. PubMed ID: 37231764
    [Abstract] [Full Text] [Related]

  • 13. Impact of deep learning-based image reconstruction on image quality compared with adaptive statistical iterative reconstruction-Veo in renal and adrenal computed tomography.
    Bie Y, Yang S, Li X, Zhao K, Zhang C, Zhong H.
    J Xray Sci Technol; 2022 Aug 01; 30(3):409-418. PubMed ID: 35124575
    [Abstract] [Full Text] [Related]

  • 14. Assessment of low-dose paranasal sinus CT imaging using a new deep learning image reconstruction technique in children compared to adaptive statistical iterative reconstruction V (ASiR-V).
    Li Y, Liu X, Zhuang XH, Wang MJ, Song XF.
    BMC Med Imaging; 2022 Jun 03; 22(1):106. PubMed ID: 35658908
    [Abstract] [Full Text] [Related]

  • 15. A Deep Learning Image Reconstruction Algorithm for Improving Image Quality and Hepatic Lesion Detectability in Abdominal Dual-Energy Computed Tomography: Preliminary Results.
    Chu B, Gan L, Shen Y, Song J, Liu L, Li J, Liu B.
    J Digit Imaging; 2023 Dec 03; 36(6):2347-2355. PubMed ID: 37580484
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  • 17. Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.
    Li S, Yuan L, Lu T, Yang X, Ren W, Wang L, Zhao J, Deng J, Liu X, Xue C, Sun Q, Zhang W, Zhou J.
    Eur J Radiol; 2023 Nov 03; 168():111128. PubMed ID: 37816301
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  • 18. Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT.
    Yoo SJ, Park YS, Choi H, Kim DS, Goo JM, Yoon SH.
    PLoS One; 2024 Nov 03; 19(2):e0297390. PubMed ID: 38386632
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  • 19. Deep learning image reconstruction for pancreatic low-dose computed tomography: comparison with hybrid iterative reconstruction.
    Noda Y, Iritani Y, Kawai N, Miyoshi T, Ishihara T, Hyodo F, Matsuo M.
    Abdom Radiol (NY); 2021 Sep 03; 46(9):4238-4244. PubMed ID: 33973060
    [Abstract] [Full Text] [Related]

  • 20. A feasibility study of realizing low-dose abdominal CT using deep learning image reconstruction algorithm.
    Li LL, Wang H, Song J, Shang J, Zhao XY, Liu B.
    J Xray Sci Technol; 2021 Sep 03; 29(2):361-372. PubMed ID: 33612538
    [Abstract] [Full Text] [Related]

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