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 *

119 related articles for article (PubMed ID: 38293802)

  • 1. Deep-Learning Reconstruction of High-Resolution CT Improves Interobserver Agreement for the Evaluation of Pulmonary Fibrosis.
    Hamada A; Yasaka K; Hatano S; Kurokawa M; Inui S; Kubo T; Watanabe Y; Abe O
    Can Assoc Radiol J; 2024 Aug; 75(3):542-548. PubMed ID: 38293802
    [No Abstract]   [Full Text] [Related]  

  • 2. Deep learning reconstruction for high-resolution computed tomography images of the temporal bone: comparison with hybrid iterative reconstruction.
    Fujita N; Yasaka K; Hatano S; Sakamoto N; Kurokawa R; Abe O
    Neuroradiology; 2024 Jul; 66(7):1105-1112. PubMed ID: 38514472
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Abdominopelvic CT Image Quality: Evaluation of Thin (0.5-mm) Slices Using Deep Learning Reconstruction.
    Oostveen LJ; Smit EJ; Dekker HM; Buckens CF; Pegge SAH; de Lange F; Sechopoulos I; Prokop M
    AJR Am J Roentgenol; 2023 Mar; 220(3):381-388. PubMed ID: 36259592
    [No Abstract]   [Full Text] [Related]  

  • 5. Improving image quality with super-resolution deep-learning-based reconstruction in coronary CT angiography.
    Nagayama Y; Emoto T; Kato Y; Kidoh M; Oda S; Sakabe D; Funama Y; Nakaura T; Hayashi H; Takada S; Uchimura R; Hatemura M; Tsujita K; Hirai T
    Eur Radiol; 2023 Dec; 33(12):8488-8500. PubMed ID: 37432405
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Value of deep learning reconstruction of chest low-dose CT for image quality improvement and lung parenchyma assessment on lung window.
    Wang J; Sui X; Zhao R; Du H; Wang J; Wang Y; Qin R; Lu X; Ma Z; Xu Y; Jin Z; Song L; Song W
    Eur Radiol; 2024 Feb; 34(2):1053-1064. PubMed ID: 37581663
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Lung-Optimized Deep-Learning-Based Reconstruction for Ultralow-Dose CT.
    Goto M; Nagayama Y; Sakabe D; Emoto T; Kidoh M; Oda S; Nakaura T; Taguchi N; Funama Y; Takada S; Uchimura R; Hayashi H; Hatemura M; Kawanaka K; Hirai T
    Acad Radiol; 2023 Mar; 30(3):431-440. PubMed ID: 35738988
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improved stent sharpness evaluation with super-resolution deep learning reconstruction in coronary CT angiography.
    Ryu JK; Kim KH; Otgonbaatar C; Kim DS; Shim H; Seo JW
    Br J Radiol; 2024 Jun; 97(1159):1286-1294. PubMed ID: 38733576
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Can deep learning improve image quality of low-dose CT: a prospective study in interstitial lung disease.
    Zhao R; Sui X; Qin R; Du H; Song L; Tian D; Wang J; Lu X; Wang Y; Song W; Jin Z
    Eur Radiol; 2022 Dec; 32(12):8140-8151. PubMed ID: 35748899
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of Deep-Learning Image Reconstruction With Hybrid Iterative Reconstruction for Evaluating Lung Nodules With High-Resolution Computed Tomography.
    Hamada A; Yasaka K; Inui S; Okimoto N; Abe O
    J Comput Assist Tomogr; 2023 Jul-Aug 01; 47(4):583-589. PubMed ID: 36877787
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep-learning reconstruction for the evaluation of lumbar spinal stenosis in computed tomography.
    Miyo R; Yasaka K; Hamada A; Sakamoto N; Hosoi R; Mizuki M; Abe O
    Medicine (Baltimore); 2023 Jun; 102(23):e33910. PubMed ID: 37335676
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT.
    Akagi M; Nakamura Y; Higaki T; Narita K; Honda Y; Zhou J; Yu Z; Akino N; Awai K
    Eur Radiol; 2019 Nov; 29(11):6163-6171. PubMed ID: 30976831
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Value of deep learning reconstruction at ultra-low-dose CT for evaluation of urolithiasis.
    Zhang G; Zhang X; Xu L; Bai X; Jin R; Xu M; Yan J; Jin Z; Sun H
    Eur Radiol; 2022 Sep; 32(9):5954-5963. PubMed ID: 35357541
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Quantitative Analysis of Emphysema in Ultra-high-resolution CT by Using Deep Learning Reconstruction: Comparison with Hybrid Iterative Reconstruction].
    Muramatsu S; Sato K
    Nihon Hoshasen Gijutsu Gakkai Zasshi; 2020; 76(11):1163-1172. PubMed ID: 33229846
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction.
    Zhang D; Mu C; Zhang X; Yan J; Xu M; Wang Y; Wang Y; Xue H; Chen Y; Jin Z
    BMC Med Imaging; 2023 Feb; 23(1):33. PubMed ID: 36800947
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. [Deep learning reconstruction algorithm for coronary CT angiography in assessing obstructive coronary artery disease caused by calcified lesions: the clinical application value].
    Xu C; Yi Y; Li YY; Guo YB; Jin ZY; Wang YN
    Zhonghua Yi Xue Za Zhi; 2021 Oct; 101(39):3202-3207. PubMed ID: 34689531
    [No Abstract]   [Full Text] [Related]  

  • 20. Deep Learning Reconstruction Plus Single-Energy Metal Artifact Reduction for Supra Hyoid Neck CT in Patients With Dental Metals.
    Mizuki M; Yasaka K; Miyo R; Ohtake Y; Hamada A; Hosoi R; Abe O
    Can Assoc Radiol J; 2024 Feb; 75(1):74-81. PubMed ID: 37387607
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 6.