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114 related items for PubMed ID: 38749827

  • 1. 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; 79(8):628-636. PubMed ID: 38749827
    [Abstract] [Full Text] [Related]

  • 2. Improving image quality of triple-low-protocol renal artery CT angiography with deep-learning image reconstruction: a comparative study with standard-dose single-energy and dual-energy CT with adaptive statistical iterative reconstruction.
    Meng Z, Guo Y, Deng S, Xiang Q, Cao J, Zhang Y, Zhang K, Ma K, Xie S, Kang Z.
    Clin Radiol; 2024 May; 79(5):e651-e658. PubMed ID: 38433041
    [Abstract] [Full Text] [Related]

  • 3. Ultra-low-dose chest computed tomography with model-based iterative reconstruction in the analysis of solid pulmonary nodules: A prospective study.
    O'Regan PW, Harold-Barry A, O'Mahony AT, Crowley C, Joyce S, Moore N, O'Connor OJ, Henry MT, Ryan DJ, Maher MM.
    World J Radiol; 2024 Nov 28; 16(11):668-677. PubMed ID: 39635307
    [Abstract] [Full Text] [Related]

  • 4. Image quality of virtual monochromatic and material density iodine images for evaluation of head and neck neoplasms using deep learning-based CT image reconstruction - A retrospective observational study.
    Bürckenmeyer F, Gräger S, Mlynska L, Güttler F, Ingwersen M, Teichgräber U, Krämer M.
    Eur J Radiol; 2024 Dec 28; 181():111806. PubMed ID: 39500043
    [Abstract] [Full Text] [Related]

  • 5. Deep learning based ultra-low dose fan-beam computed tomography image enhancement algorithm: Feasibility study in image quality for radiotherapy.
    Jiang H, Qin S, Jia L, Wei Z, Xiong W, Xu W, Gong W, Zhang W, Yu L.
    J Appl Clin Med Phys; 2024 Dec 28; 25(12):e14560. PubMed ID: 39540681
    [Abstract] [Full Text] [Related]

  • 6. Deep-learning reconstruction enhances image quality of Adamkiewicz Artery in low-keV dual-energy CT.
    Tatsugami F, Higaki T, Kawashita I, Fujioka C, Nakamura Y, Takahashi S, Awai K.
    Acta Radiol; 2024 Dec 28; 65(12):1569-1575. PubMed ID: 39435504
    [Abstract] [Full Text] [Related]

  • 7. 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 28; 303(1):202-212. PubMed ID: 35040674
    [Abstract] [Full Text] [Related]

  • 8. Investigating the role of imaging factors in the variability of CT-based texture analysis metrics.
    Varghese BA, Cen SY, Jensen K, Levy J, Andersen HK, Schulz A, Lei X, Duddalwar VA, Goodenough DJ.
    J Appl Clin Med Phys; 2024 Apr 28; 25(4):e14192. PubMed ID: 37962032
    [Abstract] [Full Text] [Related]

  • 9. Low-dose Ultra-high-resolution Photon-Counting Detector CT for Visceral Artery CT Angiography: A Preliminary Study.
    Wang L, Hu Y, Zhong J, Yue X, Xu Z, Ding B, Chu J, Yan F, Yao W, Zhang H, Hu W.
    Acad Radiol; 2024 Dec 28; 31(12):5087-5099. PubMed ID: 39112295
    [Abstract] [Full Text] [Related]

  • 10. Deep learning in pulmonary nodule detection and segmentation: a systematic review.
    Gao C, Wu L, Wu W, Huang Y, Wang X, Sun Z, Xu M, Gao C.
    Eur Radiol; 2025 Jan 28; 35(1):255-266. PubMed ID: 38985185
    [Abstract] [Full Text] [Related]

  • 11. The effectiveness of deep learning model in differentiating benign and malignant pulmonary nodules on spiral CT.
    Liu D, Zhao Y, Liu B.
    Technol Health Care; 2024 Jan 28; 32(6):5129-5140. PubMed ID: 39520159
    [Abstract] [Full Text] [Related]

  • 12. The Best of Both Worlds: Ultra-high-pitch Pulmonary Angiography with Free-Breathing Technique by Means of Photon-Counting Detector CT for Diagnosis of Acute Pulmonary Embolism.
    Pannenbecker P, Heidenreich JF, Huflage H, Gruschwitz P, Patzer TS, Weng AM, Grunz JP, Kunz AS, Bley TA, Petritsch B.
    Acad Radiol; 2024 Dec 28; 31(12):5280-5288. PubMed ID: 38969575
    [Abstract] [Full Text] [Related]

  • 13. Application of Multi-Model Adaptive Statistical Iterative Reconstruction-Veo in Ultra-Low Dose Chest CT Examination of Children in Plateau Area.
    Wang XT, Bai RT, Cidanwangjiu, Suolangnima, Nimazhuoga, Su BY.
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2024 Nov 26. PubMed ID: 39588659
    [Abstract] [Full Text] [Related]

  • 14. Deep-learning reconstruction with low-contrast media and low-kilovoltage peak for CT of the liver.
    Tachibana Y, Takaji R, Shiroo T, Asayama Y.
    Clin Radiol; 2024 Apr 26; 79(4):e546-e553. PubMed ID: 38238148
    [Abstract] [Full Text] [Related]

  • 15. On the objectivity, reliability, and validity of deep learning enabled bioimage analyses.
    Segebarth D, Griebel M, Stein N, von Collenberg CR, Martin C, Fiedler D, Comeras LB, Sah A, Schoeffler V, Lüffe T, Dürr A, Gupta R, Sasi M, Lillesaar C, Lange MD, Tasan RO, Singewald N, Pape HC, Flath CM, Blum R.
    Elife; 2020 Oct 19; 9():. PubMed ID: 33074102
    [Abstract] [Full Text] [Related]

  • 16. Comparison of Two Modern Survival Prediction Tools, SORG-MLA and METSSS, in Patients With Symptomatic Long-bone Metastases Who Underwent Local Treatment With Surgery Followed by Radiotherapy and With Radiotherapy Alone.
    Lee CC, Chen CW, Yen HK, Lin YP, Lai CY, Wang JL, Groot OQ, Janssen SJ, Schwab JH, Hsu FM, Lin WH.
    Clin Orthop Relat Res; 2024 Dec 01; 482(12):2193-2208. PubMed ID: 39051924
    [Abstract] [Full Text] [Related]

  • 17. Ultralow dose coronary calcium scoring CT at reduced tube voltage and current by using deep learning image reconstruction.
    Zhuo L, Xu S, Zhang G, Xing L, Zhang Y, Ma Z, Wang J, Yin X.
    Eur J Radiol; 2024 Dec 01; 181():111742. PubMed ID: 39321657
    [Abstract] [Full Text] [Related]

  • 18. Prediction of benign and malignant pulmonary nodules using preoperative CT features: using PNI-GARS as a predictor.
    Zhan Y, Song F, Zhang W, Gong T, Zhao S, Lv F.
    Front Immunol; 2024 Dec 01; 15():1446511. PubMed ID: 39635520
    [Abstract] [Full Text] [Related]

  • 19. Defining the optimum strategy for identifying adults and children with coeliac disease: systematic review and economic modelling.
    Elwenspoek MM, Thom H, Sheppard AL, Keeney E, O'Donnell R, Jackson J, Roadevin C, Dawson S, Lane D, Stubbs J, Everitt H, Watson JC, Hay AD, Gillett P, Robins G, Jones HE, Mallett S, Whiting PF.
    Health Technol Assess; 2022 Oct 01; 26(44):1-310. PubMed ID: 36321689
    [Abstract] [Full Text] [Related]

  • 20. Fully automated measurement of noise, signal-to-noise ratio, and contrast-to-noise ratio on chest CT images: feasibility and efficiency.
    Mei B, Ma Z, Fu W, He L, Ma Z, Gong X.
    Acta Radiol; 2024 Dec 01; 65(12):1491-1498. PubMed ID: 39415680
    [Abstract] [Full Text] [Related]

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