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 *

181 related articles for article (PubMed ID: 33989035)

  • 1. Artificial intelligence in medical imaging: implications for patient radiation safety.
    Seah J; Brady Z; Ewert K; Law M
    Br J Radiol; 2021 Oct; 94(1126):20210406. PubMed ID: 33989035
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep Learning CT Image Reconstruction in Clinical Practice.
    Arndt C; Güttler F; Heinrich A; Bürckenmeyer F; Diamantis I; Teichgräber U
    Rofo; 2021 Mar; 193(3):252-261. PubMed ID: 33302311
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Use of artificial intelligence in computed tomography dose optimisation.
    McCollough CH; Leng S
    Ann ICRP; 2020 Dec; 49(1_suppl):113-125. PubMed ID: 32870019
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Artificial intelligence in image reconstruction: The change is here.
    Singh R; Wu W; Wang G; Kalra MK
    Phys Med; 2020 Nov; 79():113-125. PubMed ID: 33246273
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning-based Reconstruction for Lower-Dose Pediatric CT: Technical Principles, Image Characteristics, and Clinical Implementations.
    Nagayama Y; Sakabe D; Goto M; Emoto T; Oda S; Nakaura T; Kidoh M; Uetani H; Funama Y; Hirai T
    Radiographics; 2021; 41(7):1936-1953. PubMed ID: 34597178
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics.
    Higaki T; Nakamura Y; Zhou J; Yu Z; Nemoto T; Tatsugami F; Awai K
    Acad Radiol; 2020 Jan; 27(1):82-87. PubMed ID: 31818389
    [TBL] [Abstract][Full Text] [Related]  

  • 7. The promise of artificial intelligence and deep learning in PET and SPECT imaging.
    Arabi H; AkhavanAllaf A; Sanaat A; Shiri I; Zaidi H
    Phys Med; 2021 Mar; 83():122-137. PubMed ID: 33765602
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Dose reduction potential of vendor-agnostic deep learning model in comparison with deep learning-based image reconstruction algorithm on CT: a phantom study.
    Choi H; Chang W; Kim JH; Ahn C; Lee H; Kim HY; Cho J; Lee YJ; Kim YH
    Eur Radiol; 2022 Feb; 32(2):1247-1255. PubMed ID: 34390372
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning reconstruction for contrast-enhanced CT of the upper abdomen: similar image quality with lower radiation dose in direct comparison with iterative reconstruction.
    Nam JG; Hong JH; Kim DS; Oh J; Goo JM
    Eur Radiol; 2021 Aug; 31(8):5533-5543. PubMed ID: 33555354
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Basics of iterative reconstruction methods in computed tomography: A vendor-independent overview.
    Stiller W
    Eur J Radiol; 2018 Dec; 109():147-154. PubMed ID: 30527298
    [TBL] [Abstract][Full Text] [Related]  

  • 11. [Opportunities for artificial intelligence in radiation protection : Improving safety of diagnostic imaging].
    Pashazadeh A; Hoeschen C
    Radiologie (Heidelb); 2023 Jul; 63(7):530-538. PubMed ID: 37347256
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Computed Tomography Image Reconstruction.
    Seeram E
    Radiol Technol; 2020 Nov; 92(2):155CT-169CT. PubMed ID: 33203780
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning reconstruction computed tomography with low-dose imaging.
    Tamura A; Ota Y; Yoshioka K
    Pediatr Radiol; 2024 Jul; 54(8):1410. PubMed ID: 38758373
    [No Abstract]   [Full Text] [Related]  

  • 14. CT radiation dose and iterative reconstruction techniques.
    Padole A; Ali Khawaja RD; Kalra MK; Singh S
    AJR Am J Roentgenol; 2015 Apr; 204(4):W384-92. PubMed ID: 25794087
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Machine Learning and Deep Neural Networks: Applications in Patient and Scan Preparation, Contrast Medium, and Radiation Dose Optimization.
    Eberhard M; Alkadhi H
    J Thorac Imaging; 2020 May; 35 Suppl 1():S17-S20. PubMed ID: 32079904
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The future of CT: deep learning reconstruction.
    McLeavy CM; Chunara MH; Gravell RJ; Rauf A; Cushnie A; Staley Talbot C; Hawkins RM
    Clin Radiol; 2021 Jun; 76(6):407-415. PubMed ID: 33637310
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Deep learning-based denoising algorithm in comparison to iterative reconstruction and filtered back projection: a 12-reader phantom study.
    Kim Y; Oh DY; Chang W; Kang E; Ye JC; Lee K; Kim HY; Kim YH; Park JH; Lee YJ; Lee KH
    Eur Radiol; 2021 Nov; 31(11):8755-8764. PubMed ID: 33885958
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial Intelligence and Cardiac PET/Computed Tomography Imaging.
    Miller RJH; Singh A; Dey D; Slomka P
    PET Clin; 2022 Jan; 17(1):85-94. PubMed ID: 34809873
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Quantitative Molecular Positron Emission Tomography Imaging Using Advanced Deep Learning Techniques.
    Zaidi H; El Naqa I
    Annu Rev Biomed Eng; 2021 Jul; 23():249-276. PubMed ID: 33797938
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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; 22(1):106. PubMed ID: 35658908
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.