These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

272 related articles for article (PubMed ID: 31506818)

  • 1. Optimization of radiation dose for CT detection of lytic and sclerotic bone lesions: a phantom study.
    Greffier J; Frandon J; Pereira F; Hamard A; Beregi JP; Larbi A; Omoumi P
    Eur Radiol; 2020 Feb; 30(2):1075-1078. PubMed ID: 31506818
    [TBL] [Abstract][Full Text] [Related]  

  • 2. CT dose optimization for the detection of pulmonary arteriovenous malformation (PAVM): A phantom study.
    Greffier J; Boccalini S; Beregi JP; Vlassenbroek A; Vuillod A; Dupuis-Girod S; Boussel L; Douek P; Si-Mohamed S
    Diagn Interv Imaging; 2020 May; 101(5):289-297. PubMed ID: 31932228
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improved image quality and dose reduction in abdominal CT with deep-learning reconstruction algorithm: a phantom study.
    Greffier J; Durand Q; Frandon J; Si-Mohamed S; Loisy M; de Oliveira F; Beregi JP; Dabli D
    Eur Radiol; 2023 Jan; 33(1):699-710. PubMed ID: 35864348
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Contribution of an artificial intelligence deep-learning reconstruction algorithm for dose optimization in lumbar spine CT examination: A phantom study.
    Greffier J; Frandon J; Durand Q; Kammoun T; Loisy M; Beregi JP; Dabli D
    Diagn Interv Imaging; 2023 Feb; 104(2):76-83. PubMed ID: 36100524
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Image quality and dose reduction opportunity of deep learning image reconstruction algorithm for CT: a phantom study.
    Greffier J; Hamard A; Pereira F; Barrau C; Pasquier H; Beregi JP; Frandon J
    Eur Radiol; 2020 Jul; 30(7):3951-3959. PubMed ID: 32100091
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.
    Greffier J; Si-Mohamed S; Frandon J; Loisy M; de Oliveira F; Beregi JP; Dabli D
    Med Phys; 2022 Aug; 49(8):5052-5063. PubMed ID: 35696272
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CT iterative reconstruction algorithms: a task-based image quality assessment.
    Greffier J; Frandon J; Larbi A; Beregi JP; Pereira F
    Eur Radiol; 2020 Jan; 30(1):487-500. PubMed ID: 31359122
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Effect of tin filter-based spectral shaping CT on image quality and radiation dose for routine use on ultralow-dose CT protocols: A phantom study.
    Greffier J; Pereira F; Hamard A; Addala T; Beregi JP; Frandon J
    Diagn Interv Imaging; 2020 Jun; 101(6):373-381. PubMed ID: 32008994
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Comparison of two deep learning image reconstruction algorithms in chest CT images: A task-based image quality assessment on phantom data.
    Greffier J; Frandon J; Si-Mohamed S; Dabli D; Hamard A; Belaouni A; Akessoul P; Besse F; Guiu B; Beregi JP
    Diagn Interv Imaging; 2022 Jan; 103(1):21-30. PubMed ID: 34493475
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Impact of iterative reconstructions on image quality and detectability of focal liver lesions in low-energy monochromatic images.
    Greffier J; Frandon J; Hamard A; Teissier JM; Pasquier H; Beregi JP; Dabli D
    Phys Med; 2020 Sep; 77():36-42. PubMed ID: 32771702
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Impact of dose reduction and the use of an advanced model-based iterative reconstruction algorithm on spectral performance of a dual-source CT system: A task-based image quality assessment.
    Greffier J; Dabli D; Hamard A; Akessoul P; Belaouni A; Beregi JP; Frandon J
    Diagn Interv Imaging; 2021; 102(7-8):405-412. PubMed ID: 33820752
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Impact of iterative reconstruction on image quality of low-dose CT of the lumbar spine.
    Alshamari M; Geijer M; Norrman E; Lidén M; Krauss W; Jendeberg J; Magnuson A; Geijer H
    Acta Radiol; 2017 Jun; 58(6):702-709. PubMed ID: 28157395
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of two deep-learning image reconstruction algorithms on cardiac CT images: A phantom study.
    Greffier J; Pastor M; Si-Mohamed S; Goutain-Majorel C; Peudon-Balas A; Bensalah MZ; Frandon J; Beregi JP; Dabli D
    Diagn Interv Imaging; 2024 Mar; 105(3):110-117. PubMed ID: 37949769
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Spatial resolution, noise properties, and detectability index of a deep learning reconstruction algorithm for dual-energy CT of the abdomen.
    Thor D; Titternes R; Poludniowski G
    Med Phys; 2023 May; 50(5):2775-2786. PubMed ID: 36774193
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A systematic task-based image quality assessment of photon-counting and energy integrating CT as a function of reconstruction kernel and phantom size.
    Bhattarai M; Bache S; Abadi E; Samei E
    Med Phys; 2024 Feb; 51(2):1047-1060. PubMed ID: 37469179
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Development, validation, and relevance of in vivo low-contrast task transfer function to estimate detectability in clinical CT images.
    Smith TB; Abadi E; Solomon J; Samei E
    Med Phys; 2021 Dec; 48(12):7698-7711. PubMed ID: 34713908
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Radiation dose optimization potential of deep learning-based reconstruction for multiphase hepatic CT: A clinical and phantom study.
    Nagayama Y; Goto M; Sakabe D; Emoto T; Shigematsu S; Taguchi N; Maruyama N; Takada S; Uchimura R; Hayashi H; Kidoh M; Oda S; Nakaura T; Funama Y; Hatemura M; Hirai T
    Eur J Radiol; 2022 Jun; 151():110280. PubMed ID: 35381567
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Super-resolution deep-learning reconstruction for cardiac CT: impact of radiation dose and focal spot size on task-based image quality.
    Emoto T; Nagayama Y; Takada S; Sakabe D; Shigematsu S; Goto M; Nakato K; Yoshida R; Harai R; Kidoh M; Oda S; Nakaura T; Hirai T
    Phys Eng Sci Med; 2024 Sep; 47(3):1001-1014. PubMed ID: 38884668
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Comparison of two versions of a deep learning image reconstruction algorithm on CT image quality and dose reduction: A phantom study.
    Greffier J; Dabli D; Frandon J; Hamard A; Belaouni A; Akessoul P; Fuamba Y; Le Roy J; Guiu B; Beregi JP
    Med Phys; 2021 Oct; 48(10):5743-5755. PubMed ID: 34418110
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Relationships of clinical protocols and reconstruction kernels with image quality and radiation dose in a 128-slice CT scanner: study with an anthropomorphic and water phantom.
    Paul J; Krauss B; Banckwitz R; Maentele W; Bauer RW; Vogl TJ
    Eur J Radiol; 2012 May; 81(5):e699-703. PubMed ID: 21316888
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.