BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

344 related articles for article (PubMed ID: 32580174)

  • 1. 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]  

  • 2. 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]  

  • 3. Proton dose calculation on scatter-corrected CBCT image: Feasibility study for adaptive proton therapy.
    Park YK; Sharp GC; Phillips J; Winey BA
    Med Phys; 2015 Aug; 42(8):4449-59. PubMed ID: 26233175
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modified fast adaptive scatter kernel superposition (mfASKS) correction and its dosimetric impact on CBCT-based proton therapy dose calculation.
    Nomura Y; Xu Q; Peng H; Takao S; Shimizu S; Xing L; Shirato H
    Med Phys; 2020 Jan; 47(1):190-200. PubMed ID: 31661161
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. 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]  

  • 7. ScatterNet: A convolutional neural network for cone-beam CT intensity correction.
    Hansen DC; Landry G; Kamp F; Li M; Belka C; Parodi K; Kurz C
    Med Phys; 2018 Nov; 45(11):4916-4926. PubMed ID: 30199101
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A convolutional neural network for estimating cone-beam CT intensity deviations from virtual CT projections.
    Rusanov B; Ebert MA; Mukwada G; Hassan GM; Sabet M
    Phys Med Biol; 2021 Oct; 66(21):. PubMed ID: 34534979
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Planning CT-guided robust and fast cone-beam CT scatter correction using a local filtration technique.
    Cui H; Jiang X; Fang C; Zhu L; Yang Y
    Med Phys; 2021 Nov; 48(11):6832-6843. PubMed ID: 34662433
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. 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]  

  • 12. Measurement-based range evaluation for quality assurance of CBCT-based dose calculations in adaptive proton therapy.
    Neppl S; Kurz C; Köpl D; Yohannes I; Schneider M; Bondesson D; Rabe M; Belka C; Dietrich O; Landry G; Parodi K; Kamp F
    Med Phys; 2021 Aug; 48(8):4148-4159. PubMed ID: 34032301
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Investigating deformable image registration and scatter correction for CBCT-based dose calculation in adaptive IMPT.
    Kurz C; Kamp F; Park YK; Zöllner C; Rit S; Hansen D; Podesta M; Sharp GC; Li M; Reiner M; Hofmaier J; Neppl S; Thieke C; Nijhuis R; Ganswindt U; Belka C; Winey BA; Parodi K; Landry G
    Med Phys; 2016 Oct; 43(10):5635. PubMed ID: 27782706
    [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 generalized image quality improvement strategy of cone-beam CT using multiple spectral CT labels in Pix2pix GAN.
    Jiang Y; Zhang Y; Luo C; Yang P; Wang J; Liang X; Zhao W; Li R; Niu T
    Phys Med Biol; 2022 May; 67(11):. PubMed ID: 35487206
    [No Abstract]   [Full Text] [Related]  

  • 16. 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]  

  • 17. CBCT correction using a cycle-consistent generative adversarial network and unpaired training to enable photon and proton dose calculation.
    Kurz C; Maspero M; Savenije MHF; Landry G; Kamp F; Pinto M; Li M; Parodi K; Belka C; van den Berg CAT
    Phys Med Biol; 2019 Nov; 64(22):225004. PubMed ID: 31610527
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Image-based scatter correction for cone-beam CT using flip swin transformer U-shape network.
    Zhang X; Jiang Y; Luo C; Li D; Niu T; Yu G
    Med Phys; 2023 Aug; 50(8):5002-5019. PubMed ID: 36734321
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An unsupervised dual contrastive learning framework for scatter correction in cone-beam CT image.
    Wang T; Liu X; Dai J; Zhang C; He W; Liu L; Chan Y; He Y; Zhao H; Xie Y; Liang X
    Comput Biol Med; 2023 Oct; 165():107377. PubMed ID: 37651766
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 18.