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 *

288 related articles for article (PubMed ID: 36065694)

  • 1. [Effect of Deep Learning-based Contrast-enhanced CT Image Reconstruction on the Image Quality of the Biliary System].
    Wang ST; Xu J; Wang X; Wang Y; Xue HD; Jin ZY
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2022 Aug; 44(4):614-620. PubMed ID: 36065694
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Effects of contrast enhancement boost postprocessing technique in combination with different reconstruction algorithms on the image quality of abdominal CT angiography.
    Xu J; Wang S; Wang X; Wang Y; Xue H; Yan J; Xu M; Jin Z
    Eur J Radiol; 2022 Sep; 154():110388. PubMed ID: 35714492
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. 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]  

  • 5. A comparative analysis of deep learning and hybrid iterative reconstruction algorithms with contrast-enhancement-boost post-processing on the image quality of indirect computed tomography venography of the lower extremities.
    Du H; Sui X; Zhao R; Wang J; Ming Y; Piao S; Wang J; Ma Z; Wang Y; Song L; Song W
    BMC Med Imaging; 2024 Jul; 24(1):163. PubMed ID: 38956583
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The effect of deep learning reconstruction on abdominal CT densitometry and image quality: a systematic review and meta-analysis.
    van Stiphout JA; Driessen J; Koetzier LR; Ruules LB; Willemink MJ; Heemskerk JWT; van der Molen AJ
    Eur Radiol; 2022 May; 32(5):2921-2929. PubMed ID: 34913104
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Effects of reconstruction technique on the quality of abdominal CT angiography: A comparison between forward projected model-based iterative reconstruction solution (FIRST) and conventional reconstruction methods.
    Wu R; Hori M; Onishi H; Nakamoto A; Fukui H; Ota T; Nishida T; Enchi Y; Satoh K; Tomiyama N
    Eur J Radiol; 2018 Sep; 106():100-105. PubMed ID: 30150030
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Deep learning image reconstruction for quality assessment of iodine concentration in computed tomography: A phantom study.
    Jeon PH; Lee CL
    J Xray Sci Technol; 2023; 31(2):409-422. PubMed ID: 36744361
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Improving Image Quality and Reducing Radiation Dose for Pediatric CT by Using Deep Learning Reconstruction.
    Brady SL; Trout AT; Somasundaram E; Anton CG; Li Y; Dillman JR
    Radiology; 2021 Jan; 298(1):180-188. PubMed ID: 33201790
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Image Quality and Lesion Detectability of Pancreatic Phase Thin-Slice Computed Tomography Images With a Deep Learning-Based Reconstruction Algorithm.
    Nakamoto A; Onishi H; Tsuboyama T; Fukui H; Ota T; Ogawa K; Yano K; Kiso K; Honda T; Tatsumi M; Tomiyama N
    J Comput Assist Tomogr; 2023 Sep-Oct 01; 47(5):698-703. PubMed ID: 37707398
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Dose reduction in chest CT: comparison of the adaptive iterative dose reduction 3D, adaptive iterative dose reduction, and filtered back projection reconstruction techniques.
    Yamada Y; Jinzaki M; Hosokawa T; Tanami Y; Sugiura H; Abe T; Kuribayashi S
    Eur J Radiol; 2012 Dec; 81(12):4185-95. PubMed ID: 22883532
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Impact of adaptive iterative dose reduction (AIDR) 3D on low-dose abdominal CT: comparison with routine-dose CT using filtered back projection.
    Matsuki M; Murakami T; Juri H; Yoshikawa S; Narumi Y
    Acta Radiol; 2013 Oct; 54(8):869-75. PubMed ID: 23761554
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Image quality assessment of pediatric chest and abdomen CT by deep learning reconstruction.
    Yoon H; Kim J; Lim HJ; Lee MJ
    BMC Med Imaging; 2021 Oct; 21(1):146. PubMed ID: 34629049
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Improvement in Image Quality and Visibility of Coronary Arteries, Stents, and Valve Structures on CT Angiography by Deep Learning Reconstruction.
    Otgonbaatar C; Ryu JK; Shin J; Woo JY; Seo JW; Shim H; Hwang DH
    Korean J Radiol; 2022 Nov; 23(11):1044-1054. PubMed ID: 36196766
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of a Deep Learning-Based Reconstruction Algorithm with Filtered Back Projection and Iterative Reconstruction Algorithms for Pediatric Abdominopelvic CT.
    Son W; Kim M; Hwang JY; Kim YW; Park C; Choo KS; Kim TU; Jang JY
    Korean J Radiol; 2022 Jul; 23(7):752-762. PubMed ID: 35695313
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adaptive iterative dose reduction algorithm in CT: effect on image quality compared with filtered back projection in body phantoms of different sizes.
    Kim M; Lee JM; Yoon JH; Son H; Choi JW; Han JK; Choi BI
    Korean J Radiol; 2014; 15(2):195-204. PubMed ID: 24644409
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Deep learning reconstruction allows for usage of contrast agent of lower concentration for coronary CTA than filtered back projection and hybrid iterative reconstruction.
    Otgonbaatar C; Ryu JK; Shin J; Kim HM; Seo JW; Shim H; Hwang DH
    Acta Radiol; 2023 Mar; 64(3):1007-1017. PubMed ID: 35979586
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Image quality of adaptive iterative dose reduction 3D of coronary CT angiography of 640-slice CT: comparison with filtered back-projection.
    Yoo RE; Park EA; Lee W; Shim H; Kim YK; Chung JW; Park JH
    Int J Cardiovasc Imaging; 2013 Mar; 29(3):669-76. PubMed ID: 22923280
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 15.