BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

134 related articles for article (PubMed ID: 38389358)

  • 1. An Evaluation Analysis for Computed Tomography Image Quality of Primary Liver Cancer Lesions Based on Deep Learning Image Reconstruction.
    Sun Y; Sun DZ; Han CL
    Curr Med Imaging; 2024; 20():1-6. PubMed ID: 38389358
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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; 168():111128. PubMed ID: 37816301
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improving lesion conspicuity in abdominal dual-energy CT with deep learning image reconstruction: a prospective study with five readers.
    Zhong J; Wang L; Shen H; Li J; Lu W; Shi X; Xing Y; Hu Y; Ge X; Ding D; Yan F; Du L; Yao W; Zhang H
    Eur Radiol; 2023 Aug; 33(8):5331-5343. PubMed ID: 36976337
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving spatial resolution and diagnostic confidence with thinner slice and deep learning image reconstruction in contrast-enhanced abdominal CT.
    Cao L; Liu X; Qu T; Cheng Y; Li J; Li Y; Chen L; Niu X; Tian Q; Guo J
    Eur Radiol; 2023 Mar; 33(3):1603-1611. PubMed ID: 36190531
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Low-dose liver CT: image quality and diagnostic accuracy of deep learning image reconstruction algorithm.
    Caruso D; De Santis D; Del Gaudio A; Guido G; Zerunian M; Polici M; Valanzuolo D; Pugliese D; Persechino R; Cremona A; Barbato L; Caloisi A; Iannicelli E; Laghi A
    Eur Radiol; 2024 Apr; 34(4):2384-2393. PubMed ID: 37688618
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Application of deep learning image reconstruction algorithm to improve image quality in CT angiography of children with Takayasu arteritis.
    Sun J; Li H; Li H; Li M; Gao Y; Zhou Z; Peng Y
    J Xray Sci Technol; 2022; 30(1):177-184. PubMed ID: 34806646
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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; 36(6):2347-2355. PubMed ID: 37580484
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Impact of novel deep learning image reconstruction algorithm on diagnosis of contrast-enhanced liver computed tomography imaging: Comparing to adaptive statistical iterative reconstruction algorithm.
    Yang S; Bie Y; Pang G; Li X; Zhao K; Zhang C; Zhong H
    J Xray Sci Technol; 2021; 29(6):1009-1018. PubMed ID: 34569983
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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; 30(3):409-418. PubMed ID: 35124575
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Evaluation of thin-slice abdominal DECT using deep-learning image reconstruction in 74 keV virtual monoenergetic images: an image quality comparison.
    Xu JJ; Lönn L; Budtz-Jørgensen E; Jawad S; Ulriksen PS; Hansen KL
    Abdom Radiol (NY); 2023 Apr; 48(4):1536-1544. PubMed ID: 36810705
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Can 1.25 mm thin-section images generated with Deep Learning Image Reconstruction technique replace standard-of-care 5 mm images in abdominal CT?
    Cao J; Mroueh N; Pisuchpen N; Parakh A; Lennartz S; Pierce TT; Kambadakone AR
    Abdom Radiol (NY); 2023 Oct; 48(10):3253-3264. PubMed ID: 37369922
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. 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; 22(1):131-138. PubMed ID: 32729277
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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; 20():e250523217310. PubMed ID: 37231764
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A study of using a deep learning image reconstruction to improve the image quality of extremely low-dose contrast-enhanced abdominal CT for patients with hepatic lesions.
    Cao L; Liu X; Li J; Qu T; Chen L; Cheng Y; Hu J; Sun J; Guo J
    Br J Radiol; 2021 Feb; 94(1118):20201086. PubMed ID: 33242256
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Task-based characterization of a deep learning image reconstruction and comparison with filtered back-projection and a partial model-based iterative reconstruction in abdominal CT: A phantom study.
    Racine D; Becce F; Viry A; Monnin P; Thomsen B; Verdun FR; Rotzinger DC
    Phys Med; 2020 Aug; 76():28-37. PubMed ID: 32574999
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Diagnostic performance and image quality of deep learning image reconstruction (DLIR) on unenhanced low-dose abdominal CT for urolithiasis.
    Delabie A; Bouzerar R; Pichois R; Desdoit X; Vial J; Renard C
    Acta Radiol; 2022 Sep; 63(9):1283-1292. PubMed ID: 34365803
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The image quality of deep-learning image reconstruction of chest CT images on a mediastinal window setting.
    Hata A; Yanagawa M; Yoshida Y; Miyata T; Kikuchi N; Honda O; Tomiyama N
    Clin Radiol; 2021 Feb; 76(2):155.e15-155.e23. PubMed ID: 33220941
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.