BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

480 related articles for article (PubMed ID: 33052702)

  • 1. 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]  

  • 2. 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]  

  • 3. Model-based iterative reconstruction technique for ultralow-dose computed tomography of the lung: a pilot study.
    Yamada Y; Jinzaki M; Tanami Y; Shiomi E; Sugiura H; Abe T; Kuribayashi S
    Invest Radiol; 2012 Aug; 47(8):482-9. PubMed ID: 22766910
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. 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]  

  • 6. Prospective evaluation of deep learning image reconstruction for Lung-RADS and automatic nodule volumetry on ultralow-dose chest CT.
    Yoo SJ; Park YS; Choi H; Kim DS; Goo JM; Yoon SH
    PLoS One; 2024; 19(2):e0297390. PubMed ID: 38386632
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Pulmonary Emphysema Quantification on Ultra-Low-Dose Computed Tomography Using Model-Based Iterative Reconstruction With or Without Lung Setting.
    Hata A; Yanagawa M; Kikuchi N; Honda O; Tomiyama N
    J Comput Assist Tomogr; 2018; 42(5):760-766. PubMed ID: 29958197
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Ultra-low-dose CT of the lung: effect of iterative reconstruction techniques on image quality.
    Yanagawa M; Gyobu T; Leung AN; Kawai M; Kawata Y; Sumikawa H; Honda O; Tomiyama N
    Acad Radiol; 2014 Jun; 21(6):695-703. PubMed ID: 24713541
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Ultra-low-dose CT reconstructed with the artificial intelligence iterative reconstruction algorithm (AIIR) in
    Hu Y; Zheng Z; Yu H; Wang J; Yang X; Shi H
    EJNMMI Phys; 2023 Jan; 10(1):1. PubMed ID: 36592256
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Ultra-low-dose hepatic multiphase CT using deep learning-based image reconstruction algorithm focused on arterial phase in chronic liver disease: A non-inferiority study.
    Lee HJ; Kim JS; Lee JK; Lee HA; Pak S
    Eur J Radiol; 2023 Feb; 159():110659. PubMed ID: 36584563
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep-learning reconstruction for ultra-low-dose lung CT: Volumetric measurement accuracy and reproducibility of artificial ground-glass nodules in a phantom study.
    Mikayama R; Shirasaka T; Kojima T; Sakai Y; Yabuuchi H; Kondo M; Kato T
    Br J Radiol; 2022 Feb; 95(1130):20210915. PubMed ID: 34908478
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Image Quality and Lesion Detection on Deep Learning Reconstruction and Iterative Reconstruction of Submillisievert Chest and Abdominal CT.
    Singh R; Digumarthy SR; Muse VV; Kambadakone AR; Blake MA; Tabari A; Hoi Y; Akino N; Angel E; Madan R; Kalra MK
    AJR Am J Roentgenol; 2020 Mar; 214(3):566-573. PubMed ID: 31967501
    [No Abstract]   [Full Text] [Related]  

  • 14. Superior objective and subjective image quality of deep learning reconstruction for low-dose abdominal CT imaging in comparison with model-based iterative reconstruction and filtered back projection.
    Tamura A; Mukaida E; Ota Y; Kamata M; Abe S; Yoshioka K
    Br J Radiol; 2021 Jul; 94(1123):20201357. PubMed ID: 34142867
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Ultra-low-dose chest computed tomography for interstitial lung disease using model-based iterative reconstruction with or without the lung setting.
    Hata A; Yanagawa M; Honda O; Miyata T; Tomiyama N
    Medicine (Baltimore); 2019 May; 98(22):e15936. PubMed ID: 31145365
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis.
    Nagatani Y; Takahashi M; Murata K; Ikeda M; Yamashiro T; Miyara T; Koyama H; Koyama M; Sato Y; Moriya H; Noma S; Tomiyama N; Ohno Y; Murayama S;
    Eur J Radiol; 2015 Jul; 84(7):1401-12. PubMed ID: 25892051
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Chest CT with iterative reconstruction algorithms for airway stent evaluation in patients with malignant obstructive tracheobronchial diseases.
    Li T; Zhang Y; Wang Y; Gao J; Jiang Y
    Medicine (Baltimore); 2016 Sep; 95(39):e4873. PubMed ID: 27684818
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. 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]  

  • 20. Quantitative measurements of emphysema in ultra-high resolution computed tomography using model-based iterative reconstruction in comparison to that using hybrid iterative reconstruction.
    Muramatsu S; Sato K; Yamashiro T; Doi K
    Phys Eng Sci Med; 2022 Mar; 45(1):115-124. PubMed ID: 35023075
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 24.