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 *

305 related articles for article (PubMed ID: 30390295)

  • 1. Real-time scatter estimation for medical CT using the deep scatter estimation: Method and robustness analysis with respect to different anatomies, dose levels, tube voltages, and data truncation.
    Maier J; Eulig E; Vöth T; Knaup M; Kuntz J; Sawall S; Kachelrieß M
    Med Phys; 2019 Jan; 46(1):238-249. PubMed ID: 30390295
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Efficient scatter distribution estimation and correction in CBCT using concurrent Monte Carlo fitting.
    Bootsma GJ; Verhaegen F; Jaffray DA
    Med Phys; 2015 Jan; 42(1):54-68. PubMed ID: 25563247
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A model-based scatter artifacts correction for cone beam CT.
    Zhao W; Vernekohl D; Zhu J; Wang L; Xing L
    Med Phys; 2016 Apr; 43(4):1736. PubMed ID: 27036571
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Empirical scatter correction: CBCT scatter artifact reduction without prior information.
    Trapp P; Maier J; Susenburger M; Sawall S; Kachelrieß M
    Med Phys; 2022 Jul; 49(7):4566-4584. PubMed ID: 35390181
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.
    Nomura Y; Xu Q; Shirato H; Shimizu S; Xing L
    Med Phys; 2019 Jul; 46(7):3142-3155. PubMed ID: 31077390
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A Monte Carlo based scatter removal method for non-isocentric cone-beam CT acquisitions using a deep convolutional autoencoder.
    van der Heyden B; Uray M; Fonseca GP; Huber P; Us D; Messner I; Law A; Parii A; Reisz N; Rinaldi I; Vilches Freixas G; Deutschmann H; Verhaegen F; Steininger P
    Phys Med Biol; 2020 Jul; 65(14):145002. PubMed ID: 32294626
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A practical cone-beam CT scatter correction method with optimized Monte Carlo simulations for image-guided radiation therapy.
    Xu Y; Bai T; Yan H; Ouyang L; Pompos A; Wang J; Zhou L; Jiang SB; Jia X
    Phys Med Biol; 2015 May; 60(9):3567-87. PubMed ID: 25860299
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A correlated sampling-based Monte Carlo simulation for fast CBCT iterative scatter correction.
    Qin P; Lin G; Li X; Piao Z; Huang S; Wu W; Qi M; Ma J; Zhou L; Xu Y
    Med Phys; 2023 Mar; 50(3):1466-1480. PubMed ID: 36323626
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Multi-energy blended CBCT spectral imaging and scatter-decoupled material decomposition using a spectral modulator with flying focal spot (SMFFS).
    Deng Y; Zhou H; Wang Z; Wang AS; Gao H
    Med Phys; 2024 Apr; 51(4):2398-2412. PubMed ID: 38477717
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Local filtration based scatter correction for cone-beam CT using primary modulation.
    Zhu L
    Med Phys; 2016 Nov; 43(11):6199. PubMed ID: 27806607
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of detruncation on the accuracy of Monte Carlo-based scatter estimation in truncated CBCT.
    Waltrich N; Sawall S; Maier J; Kuntz J; Stannigel K; Lindenberg K; Kachelrieß M
    Med Phys; 2018 Jun; ():. PubMed ID: 29888791
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Real-time estimation of patient-specific dose distributions for medical CT using the deep dose estimation.
    Maier J; Klein L; Eulig E; Sawall S; Kachelrieß M
    Med Phys; 2022 Apr; 49(4):2259-2269. PubMed ID: 35107176
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Evaluation of CBCT scatter correction using deep convolutional neural networks for head and neck adaptive proton therapy.
    Lalonde A; Winey B; Verburg J; Paganetti H; Sharp GC
    Phys Med Biol; 2020 Dec; 65(24):. PubMed ID: 32580174
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Shading correction for on-board cone-beam CT in radiation therapy using planning MDCT images.
    Niu T; Sun M; Star-Lack J; Gao H; Fan Q; Zhu L
    Med Phys; 2010 Oct; 37(10):5395-406. PubMed ID: 21089775
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A deep neural network for fast and accurate scatter estimation in quantitative SPECT/CT under challenging scatter conditions.
    Xiang H; Lim H; Fessler JA; Dewaraja YK
    Eur J Nucl Med Mol Imaging; 2020 Dec; 47(13):2956-2967. PubMed ID: 32415551
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Adaptive scatter kernel deconvolution modeling for cone-beam CT scatter correction via deep reinforcement learning.
    Piao Z; Deng W; Huang S; Lin G; Qin P; Li X; Wu W; Qi M; Zhou L; Li B; Ma J; Xu Y
    Med Phys; 2024 Feb; 51(2):1163-1177. PubMed ID: 37459053
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Scatter correction based on adaptive photon path-based Monte Carlo simulation method in Multi-GPU platform.
    Zhang Y; Chen Y; Zhong A; Jia X; Wu S; Qi H; Zhou L; Xu Y
    Comput Methods Programs Biomed; 2020 Oct; 194():105487. PubMed ID: 32473514
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Combining scatter reduction and correction to improve image quality in cone-beam computed tomography (CBCT).
    Jin JY; Ren L; Liu Q; Kim J; Wen N; Guan H; Movsas B; Chetty IJ
    Med Phys; 2010 Nov; 37(11):5634-44. PubMed ID: 21158275
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Correction for patient table-induced scattered radiation in cone-beam computed tomography (CBCT).
    Sun M; Nagy T; Virshup G; Partain L; Oelhafen M; Star-Lack J
    Med Phys; 2011 Apr; 38(4):2058-73. PubMed ID: 21626939
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep learning for x-ray scatter correction in dedicated breast CT.
    Pautasso JJ; Caballo M; Mikerov M; Boone JM; Michielsen K; Sechopoulos I
    Med Phys; 2023 Apr; 50(4):2022-2036. PubMed ID: 36565012
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.