BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

310 related articles for article (PubMed ID: 30676951)

  • 1. A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.
    Gao Y; Liu Y; Wang Y; Shi Z; Yu J
    IEEE Trans Med Imaging; 2019 Sep; 38(9):2059-2069. PubMed ID: 30676951
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Multimodal MRI synthesis using unified generative adversarial networks.
    Dai X; Lei Y; Fu Y; Curran WJ; Liu T; Mao H; Yang X
    Med Phys; 2020 Dec; 47(12):6343-6354. PubMed ID: 33053202
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Unsupervised arterial spin labeling image superresolution via multiscale generative adversarial network.
    Cui J; Gong K; Han P; Liu H; Li Q
    Med Phys; 2022 Apr; 49(4):2373-2385. PubMed ID: 35048390
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Synthesizing high-resolution magnetic resonance imaging using parallel cycle-consistent generative adversarial networks for fast magnetic resonance imaging.
    Xie H; Lei Y; Wang T; Roper J; Dhabaan AH; Bradley JD; Liu T; Mao H; Yang X
    Med Phys; 2022 Jan; 49(1):357-369. PubMed ID: 34821395
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Denoising of 3D magnetic resonance images using a residual encoder-decoder Wasserstein generative adversarial network.
    Ran M; Hu J; Chen Y; Chen H; Sun H; Zhou J; Zhang Y
    Med Image Anal; 2019 Jul; 55():165-180. PubMed ID: 31085444
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Improvement of 2D cine image quality using 3D priors and cycle generative adversarial network for low field MRI-guided radiation therapy.
    Dong Y; Yang F; Wen J; Cai J; Zeng F; Liu M; Li S; Wang J; Ford JC; Portelance L; Yang Y
    Med Phys; 2024 May; 51(5):3495-3509. PubMed ID: 38043123
    [TBL] [Abstract][Full Text] [Related]  

  • 7. High-fidelity fast volumetric brain MRI using synergistic wave-controlled aliasing in parallel imaging and a hybrid denoising generative adversarial network (HDnGAN).
    Li Z; Tian Q; Ngamsombat C; Cartmell S; Conklin J; Filho ALMG; Lo WC; Wang G; Ying K; Setsompop K; Fan Q; Bilgic B; Cauley S; Huang SY
    Med Phys; 2022 Feb; 49(2):1000-1014. PubMed ID: 34961944
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.
    Yu B; Zhou L; Wang L; Shi Y; Fripp J; Bourgeat P
    IEEE Trans Med Imaging; 2019 Jul; 38(7):1750-1762. PubMed ID: 30714911
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intensity non-uniformity correction in MR imaging using residual cycle generative adversarial network.
    Dai X; Lei Y; Liu Y; Wang T; Ren L; Curran WJ; Patel P; Liu T; Yang X
    Phys Med Biol; 2020 Nov; 65(21):215025. PubMed ID: 33245059
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Cross modality generative learning framework for anatomical transitive Magnetic Resonance Imaging (MRI) from Electrical Impedance Tomography (EIT) image.
    Wang Z; Nawaz M; Khan S; Xia P; Irfan M; Wong EC; Chan R; Cao P
    Comput Med Imaging Graph; 2023 Sep; 108():102272. PubMed ID: 37515968
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Reconstruction of multicontrast MR images through deep learning.
    Do WJ; Seo S; Han Y; Ye JC; Choi SH; Park SH
    Med Phys; 2020 Mar; 47(3):983-997. PubMed ID: 31889314
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Normalization of breast MRIs using cycle-consistent generative adversarial networks.
    Modanwal G; Vellal A; Mazurowski MA
    Comput Methods Programs Biomed; 2021 Sep; 208():106225. PubMed ID: 34198016
    [TBL] [Abstract][Full Text] [Related]  

  • 15. IAS-NET: Joint intraclassly adaptive GAN and segmentation network for unsupervised cross-domain in neonatal brain MRI segmentation.
    Li B; You X; Wang J; Peng Q; Yin S; Qi R; Ren Q; Hong Z
    Med Phys; 2021 Nov; 48(11):6962-6975. PubMed ID: 34494276
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Image super-resolution using progressive generative adversarial networks for medical image analysis.
    Mahapatra D; Bozorgtabar B; Garnavi R
    Comput Med Imaging Graph; 2019 Jan; 71():30-39. PubMed ID: 30472408
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Conditional generative adversarial network for 3D rigid-body motion correction in MRI.
    Johnson PM; Drangova M
    Magn Reson Med; 2019 Sep; 82(3):901-910. PubMed ID: 31006909
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Synthesis of pseudo-CT images from pelvic MRI images based on an MD-CycleGAN model for radiotherapy.
    Sun H; Xi Q; Fan R; Sun J; Xie K; Ni X; Yang J
    Phys Med Biol; 2022 Jan; 67(3):. PubMed ID: 34879356
    [No Abstract]   [Full Text] [Related]  

  • 19. Image Translation by Ad CycleGAN for COVID-19 X-Ray Images: A New Approach for Controllable GAN.
    Liang Z; Huang JX; Antani S
    Sensors (Basel); 2022 Dec; 22(24):. PubMed ID: 36559994
    [TBL] [Abstract][Full Text] [Related]  

  • 20. 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]  

    [Next]    [New Search]
    of 16.