BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

126 related articles for article (PubMed ID: 38169217)

  • 1. Towards safer imaging: A comparative study of deep learning-based denoising and iterative reconstruction in intraindividual low-dose CT scans using an in-vivo large animal model.
    Mück J; Reiter E; Klingert W; Bertolani E; Schenk M; Nikolaou K; Afat S; Brendlin AS
    Eur J Radiol; 2024 Feb; 171():111267. PubMed ID: 38169217
    [TBL] [Abstract][Full Text] [Related]  

  • 2. How Real Are Computed Tomography Low Dose Simulations? An Investigational In-Vivo Large Animal Study.
    Brendlin AS; Wrazidlo R; Almansour H; Estler A; Plajer D; Vega SGC; Klingert W; Bertolani E; Othman AE; Schenk M; Afat S
    Acad Radiol; 2023 Aug; 30(8):1678-1694. PubMed ID: 36669998
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Novel Deep Learning Denoising Enhances Image Quality and Lowers Radiation Exposure in Interventional Bronchial Artery Embolization Cone Beam CT.
    Brendlin AS; Dehdab R; Stenzl B; Mueck J; Ghibes P; Groezinger G; Kim J; Afat S; Artzner C
    Acad Radiol; 2024 May; 31(5):2144-2155. PubMed ID: 37989681
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Application of Deep Learning-Based Denoising Technique for Radiation Dose Reduction in Dynamic Abdominal CT: Comparison with Standard-Dose CT Using Hybrid Iterative Reconstruction Method.
    Nagata M; Ichikawa Y; Domae K; Yoshikawa K; Kanii Y; Yamazaki A; Nagasawa N; Ishida M; Sakuma H
    J Digit Imaging; 2023 Aug; 36(4):1578-1587. PubMed ID: 36944812
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Deep Learning Denoising of Low-Dose Computed Tomography Chest Images: A Quantitative and Qualitative Image Analysis.
    Azour L; Hu Y; Ko JP; Chen B; Knoll F; Alpert JB; Brusca-Augello G; Mason DM; Wickstrom ML; Kwon YJF; Babb J; Liang Z; Moore WH
    J Comput Assist Tomogr; 2023 Mar-Apr 01; 47(2):212-219. PubMed ID: 36790870
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.
    Hata A; Yanagawa M; Yoshida Y; Miyata T; Tsubamoto M; Honda O; Tomiyama N
    AJR Am J Roentgenol; 2020 Dec; 215(6):1321-1328. PubMed ID: 33052702
    [No Abstract]   [Full Text] [Related]  

  • 7. Low dose of contrast agent and low radiation liver computed tomography with deep-learning-based contrast boosting model in participants at high-risk for hepatocellular carcinoma: prospective, randomized, double-blind study.
    Kang HJ; Lee JM; Ahn C; Bae JS; Han S; Kim SW; Yoon JH; Han JK
    Eur Radiol; 2023 May; 33(5):3660-3670. PubMed ID: 36934202
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning-based reconstruction can improve the image quality of low radiation dose head CT.
    Nagayama Y; Iwashita K; Maruyama N; Uetani H; Goto M; Sakabe D; Emoto T; Nakato K; Shigematsu S; Kato Y; Takada S; Kidoh M; Oda S; Nakaura T; Hatemura M; Ueda M; Mukasa A; Hirai T
    Eur Radiol; 2023 May; 33(5):3253-3265. PubMed ID: 36973431
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Deep learning versus iterative reconstruction on image quality and dose reduction in abdominal CT: a live animal study.
    Zhang JZ; Ganesh H; Raslau FD; Nair R; Escott E; Wang C; Wang G; Zhang J
    Phys Med Biol; 2022 Jul; 67(14):. PubMed ID: 35709707
    [No Abstract]   [Full Text] [Related]  

  • 10. Radiation Dose Reduction for 80-kVp Pediatric CT Using Deep Learning-Based Reconstruction: A Clinical and Phantom Study.
    Nagayama Y; Goto M; Sakabe D; Emoto T; Shigematsu S; Oda S; Tanoue S; Kidoh M; Nakaura T; Funama Y; Uchimura R; Takada S; Hayashi H; Hatemura M; Hirai T
    AJR Am J Roentgenol; 2022 Aug; 219(2):315-324. PubMed ID: 35195431
    [No Abstract]   [Full Text] [Related]  

  • 11. Image quality in liver CT: low-dose deep learning vs standard-dose model-based iterative reconstructions.
    Park S; Yoon JH; Joo I; Yu MH; Kim JH; Park J; Kim SW; Han S; Ahn C; Kim JH; Lee JM
    Eur Radiol; 2022 May; 32(5):2865-2874. PubMed ID: 34821967
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Knowledge-based iterative model reconstruction (IMR) algorithm in ultralow-dose CT for evaluation of urolithiasis: evaluation of radiation dose reduction, image quality, and diagnostic performance.
    Park SB; Kim YS; Lee JB; Park HJ
    Abdom Imaging; 2015 Oct; 40(8):3137-46. PubMed ID: 26197735
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. Radiation and iodine dose reduced thoraco-abdomino-pelvic dual-energy CT at 40 keV reconstructed with deep learning image reconstruction.
    Noda Y; Kawai N; Kawamura T; Kobori A; Miyase R; Iwashima K; Kaga T; Miyoshi T; Hyodo F; Kato H; Matsuo M
    Br J Radiol; 2022 Jun; 95(1134):20211163. PubMed ID: 35230135
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Deep learning image reconstruction algorithm reduces image noise while alters radiomics features in dual-energy CT in comparison with conventional iterative reconstruction algorithms: a phantom study.
    Zhong J; Xia Y; Chen Y; Li J; Lu W; Shi X; Feng J; Yan F; Yao W; Zhang H
    Eur Radiol; 2023 Feb; 33(2):812-824. PubMed ID: 36197579
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Low-dose whole-body CT using deep learning image reconstruction: image quality and lesion detection.
    Noda Y; Kaga T; Kawai N; Miyoshi T; Kawada H; Hyodo F; Kambadakone A; Matsuo M
    Br J Radiol; 2021 May; 94(1121):20201329. PubMed ID: 33571010
    [TBL] [Abstract][Full Text] [Related]  

  • 17. AI Denoising Improves Image Quality and Radiological Workflows in Pediatric Ultra-Low-Dose Thorax Computed Tomography Scans.
    Brendlin AS; Schmid U; Plajer D; Chaika M; Mader M; Wrazidlo R; Männlin S; Spogis J; Estler A; Esser M; Schäfer J; Afat S; Tsiflikas I
    Tomography; 2022 Jun; 8(4):1678-1689. PubMed ID: 35894005
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Low-Dose Abdominal CT Using a Deep Learning-Based Denoising Algorithm: A Comparison with CT Reconstructed with Filtered Back Projection or Iterative Reconstruction Algorithm.
    Shin YJ; Chang W; Ye JC; Kang E; Oh DY; Lee YJ; Park JH; Kim YH
    Korean J Radiol; 2020 Mar; 21(3):356-364. PubMed ID: 32090528
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning reconstruction CT for liver metastases: low-dose dual-energy vs standard-dose single-energy.
    Lyu P; Li Z; Chen Y; Wang H; Liu N; Liu J; Zhan P; Liu X; Shang B; Wang L; Gao J
    Eur Radiol; 2024 Jan; 34(1):28-38. PubMed ID: 37532899
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study.
    Park HJ; Choi SY; Lee JE; Lim S; Lee MH; Yi BH; Cha JG; Min JH; Lee B; Jung Y
    Eur Radiol; 2022 Jun; 32(6):3974-3984. PubMed ID: 35064803
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.