BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 37800874)

  • 1. Comparison and evaluation of different deep learning models of synthetic CT generation from CBCT for nasopharynx cancer adaptive proton therapy.
    Pang B; Si H; Liu M; Fu W; Zeng Y; Liu H; Cao T; Chang Y; Quan H; Yang Z
    Med Phys; 2023 Nov; 50(11):6920-6930. PubMed ID: 37800874
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Generating synthetic CT from low-dose cone-beam CT by using generative adversarial networks for adaptive radiotherapy.
    Gao L; Xie K; Wu X; Lu Z; Li C; Sun J; Lin T; Sui J; Ni X
    Radiat Oncol; 2021 Oct; 16(1):202. PubMed ID: 34649572
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Generation of synthetic CT from CBCT using deep learning approaches for head and neck cancer patients.
    Aouadi S; Yoganathan SA; Torfeh T; Paloor S; Caparrotti P; Hammoud R; Al-Hammadi N
    Biomed Phys Eng Express; 2023 Aug; 9(5):. PubMed ID: 37489854
    [No Abstract]   [Full Text] [Related]  

  • 4. Improving CBCT image quality to the CT level using RegGAN in esophageal cancer adaptive radiotherapy.
    Wang H; Liu X; Kong L; Huang Y; Chen H; Ma X; Duan Y; Shao Y; Feng A; Shen Z; Gu H; Kong Q; Xu Z; Zhou Y
    Strahlenther Onkol; 2023 May; 199(5):485-497. PubMed ID: 36688953
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cone Beam CT (CBCT) Based Synthetic CT Generation Using Deep Learning Methods for Dose Calculation of Nasopharyngeal Carcinoma Radiotherapy.
    Xue X; Ding Y; Shi J; Hao X; Li X; Li D; Wu Y; An H; Jiang M; Wei W; Wang X
    Technol Cancer Res Treat; 2021; 20():15330338211062415. PubMed ID: 34851204
    [No Abstract]   [Full Text] [Related]  

  • 6. Streaking artifact reduction for CBCT-based synthetic CT generation in adaptive radiotherapy.
    Gao L; Xie K; Sun J; Lin T; Sui J; Yang G; Ni X
    Med Phys; 2023 Feb; 50(2):879-893. PubMed ID: 36183234
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improving CBCT quality to CT level using deep learning with generative adversarial network.
    Zhang Y; Yue N; Su MY; Liu B; Ding Y; Zhou Y; Wang H; Kuang Y; Nie K
    Med Phys; 2021 Jun; 48(6):2816-2826. PubMed ID: 33259647
    [TBL] [Abstract][Full Text] [Related]  

  • 8. CBCT-based synthetic CT generated using CycleGAN with HU correction for adaptive radiotherapy of nasopharyngeal carcinoma.
    Jihong C; Kerun Q; Kaiqiang C; Xiuchun Z; Yimin Z; Penggang B
    Sci Rep; 2023 Apr; 13(1):6624. PubMed ID: 37095147
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A hybrid method of correcting CBCT for proton range estimation with deep learning and deformable image registration.
    Uh J; Wang C; Jordan JA; Pirlepesov F; Becksfort JB; Ates O; Krasin MJ; Hua CH
    Phys Med Biol; 2023 Jul; 68(16):. PubMed ID: 37442128
    [No Abstract]   [Full Text] [Related]  

  • 10. Cone-beam CT-derived relative stopping power map generation via deep learning for proton radiotherapy.
    Harms J; Lei Y; Wang T; McDonald M; Ghavidel B; Stokes W; Curran WJ; Zhou J; Liu T; Yang X
    Med Phys; 2020 Sep; 47(9):4416-4427. PubMed ID: 32579710
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Generating synthesized computed tomography (CT) from cone-beam computed tomography (CBCT) using CycleGAN for adaptive radiation therapy.
    Liang X; Chen L; Nguyen D; Zhou Z; Gu X; Yang M; Wang J; Jiang S
    Phys Med Biol; 2019 Jun; 64(12):125002. PubMed ID: 31108465
    [TBL] [Abstract][Full Text] [Related]  

  • 12. CBCT-based synthetic CT generation using deep-attention cycleGAN for pancreatic adaptive radiotherapy.
    Liu Y; Lei Y; Wang T; Fu Y; Tang X; Curran WJ; Liu T; Patel P; Yang X
    Med Phys; 2020 Jun; 47(6):2472-2483. PubMed ID: 32141618
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of CBCT based synthetic CT methods suitable for proton dose calculations in adaptive proton therapy.
    Thummerer A; Zaffino P; Meijers A; Marmitt GG; Seco J; Steenbakkers RJHM; Langendijk JA; Both S; Spadea MF; Knopf AC
    Phys Med Biol; 2020 Apr; 65(9):095002. PubMed ID: 32143207
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Generation of abdominal synthetic CTs from 0.35T MR images using generative adversarial networks for MR-only liver radiotherapy.
    Fu J; Singhrao K; Cao M; Yu V; Santhanam AP; Yang Y; Guo M; Raldow AC; Ruan D; Lewis JH
    Biomed Phys Eng Express; 2020 Jan; 6(1):015033. PubMed ID: 33438621
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Synthetic CT generation based on CBCT using respath-cycleGAN.
    Deng L; Hu J; Wang J; Huang S; Yang X
    Med Phys; 2022 Aug; 49(8):5317-5329. PubMed ID: 35488299
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A 4D-CBCT correction network based on contrastive learning for dose calculation in lung cancer.
    Cao N; Wang Z; Ding J; Zhang H; Zhang S; Gao L; Sun J; Xie K; Ni X
    Radiat Oncol; 2024 Feb; 19(1):20. PubMed ID: 38336759
    [TBL] [Abstract][Full Text] [Related]  

  • 17. CBCT-Based synthetic CT image generation using conditional denoising diffusion probabilistic model.
    Peng J; Qiu RLJ; Wynne JF; Chang CW; Pan S; Wang T; Roper J; Liu T; Patel PR; Yu DS; Yang X
    Med Phys; 2024 Mar; 51(3):1847-1859. PubMed ID: 37646491
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Multiresolution residual deep neural network for improving pelvic CBCT image quality.
    Wu W; Qu J; Cai J; Yang R
    Med Phys; 2022 Mar; 49(3):1522-1534. PubMed ID: 35034367
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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]  

  • 20. Dosimetric comparison of deformable image registration and synthetic CT generation based on CBCT images for organs at risk in cervical cancer radiotherapy.
    Chang Y; Liang Y; Yang B; Qiu J; Pei X; Xu XG
    Radiat Oncol; 2023 Jan; 18(1):3. PubMed ID: 36604687
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.