BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

169 related articles for article (PubMed ID: 38486193)

  • 1. Channel-wise attention enhanced and structural similarity constrained cycleGAN for effective synthetic CT generation from head and neck MRI images.
    Gong C; Huang Y; Luo M; Cao S; Gong X; Ding S; Yuan X; Zheng W; Zhang Y
    Radiat Oncol; 2024 Mar; 19(1):37. PubMed ID: 38486193
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.
    Zhao Y; Wang H; Yu C; Court LE; Wang X; Wang Q; Pan T; Ding Y; Phan J; Yang J
    Med Phys; 2023 Jul; 50(7):4399-4414. PubMed ID: 36698291
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of an unsupervised cycle contrastive unpaired translation network for MRI-to-CT synthesis.
    Wang J; Yan B; Wu X; Jiang X; Zuo Y; Yang Y
    J Appl Clin Med Phys; 2022 Nov; 23(11):e13775. PubMed ID: 36168935
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comprehensive evaluation of similarity between synthetic and real CT images for nasopharyngeal carcinoma.
    Yuan S; Chen X; Liu Y; Zhu J; Men K; Dai J
    Radiat Oncol; 2023 Nov; 18(1):182. PubMed ID: 37936196
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Pseudo-CT generation from multi-parametric MRI using a novel multi-channel multi-path conditional generative adversarial network for nasopharyngeal carcinoma patients.
    Tie X; Lam SK; Zhang Y; Lee KH; Au KH; Cai J
    Med Phys; 2020 Apr; 47(4):1750-1762. PubMed ID: 32012292
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Synthetic CT reconstruction using a deep spatial pyramid convolutional framework for MR-only breast radiotherapy.
    Olberg S; Zhang H; Kennedy WR; Chun J; Rodriguez V; Zoberi I; Thomas MA; Kim JS; Mutic S; Green OL; Park JC
    Med Phys; 2019 Sep; 46(9):4135-4147. PubMed ID: 31309586
    [TBL] [Abstract][Full Text] [Related]  

  • 7. CBCT-based synthetic CT generation using generative adversarial networks with disentangled representation.
    Liu J; Yan H; Cheng H; Liu J; Sun P; Wang B; Mao R; Du C; Luo S
    Quant Imaging Med Surg; 2021 Dec; 11(12):4820-4834. PubMed ID: 34888192
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Artificial intelligence-based bone-enhanced magnetic resonance image-a computed tomography/magnetic resonance image composite image modality in nasopharyngeal carcinoma radiotherapy.
    Song L; Li Y; Dong G; Lambo R; Qin W; Wang Y; Zhang G; Liu J; Xie Y
    Quant Imaging Med Surg; 2021 Dec; 11(12):4709-4720. PubMed ID: 34888183
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Patch-based generative adversarial neural network models for head and neck MR-only planning.
    Klages P; Benslimane I; Riyahi S; Jiang J; Hunt M; Deasy JO; Veeraraghavan H; Tyagi N
    Med Phys; 2020 Feb; 47(2):626-642. PubMed ID: 31733164
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Magnetic resonance-based synthetic computed tomography images generated using generative adversarial networks for nasopharyngeal carcinoma radiotherapy treatment planning.
    Peng Y; Chen S; Qin A; Chen M; Gao X; Liu Y; Miao J; Gu H; Zhao C; Deng X; Qi Z
    Radiother Oncol; 2020 Sep; 150():217-224. PubMed ID: 32622781
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Synthetic CT generation from MRI using 3D transformer-based denoising diffusion model.
    Pan S; Abouei E; Wynne J; Chang CW; Wang T; Qiu RLJ; Li Y; Peng J; Roper J; Patel P; Yu DS; Mao H; Yang X
    Med Phys; 2024 Apr; 51(4):2538-2548. PubMed ID: 38011588
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Bony structure enhanced synthetic CT generation using Dixon sequences for pelvis MR-only radiotherapy.
    Liang X; Yen A; Bai T; Godley A; Shen C; Wu J; Meng B; Lin MH; Medin P; Yan Y; Owrangi A; Desai N; Hannan R; Garant A; Jiang S; Deng J
    Med Phys; 2023 Dec; 50(12):7368-7382. PubMed ID: 37358195
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Dosimetric evaluation of synthetic CT for head and neck radiotherapy generated by a patch-based three-dimensional convolutional neural network.
    Dinkla AM; Florkow MC; Maspero M; Savenije MHF; Zijlstra F; Doornaert PAH; van Stralen M; Philippens MEP; van den Berg CAT; Seevinck PR
    Med Phys; 2019 Sep; 46(9):4095-4104. PubMed ID: 31206701
    [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. Improvement of megavoltage computed tomography image quality for adaptive helical tomotherapy using cycleGAN-based image synthesis with small datasets.
    Lee D; Jeong SW; Kim SJ; Cho H; Park W; Han Y
    Med Phys; 2021 Oct; 48(10):5593-5610. PubMed ID: 34418109
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. 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]  

  • 19. On the effect of training database size for MR-based synthetic CT generation in the head.
    Estakhraji SIZ; Pirasteh A; Bradshaw T; McMillan A
    Comput Med Imaging Graph; 2023 Jul; 107():102227. PubMed ID: 37167815
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Evaluating the Hounsfield unit assignment and dose differences between CT-based standard and deep learning-based synthetic CT images for MRI-only radiation therapy of the head and neck.
    Singhrao K; Dugan CL; Calvin C; Pelayo L; Yom SS; Chan JW; Scholey JE; Singer L
    J Appl Clin Med Phys; 2024 Jan; 25(1):e14239. PubMed ID: 38128040
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.