BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

128 related articles for article (PubMed ID: 33690024)

  • 1. mustGAN: multi-stream Generative Adversarial Networks for MR Image Synthesis.
    Yurt M; Dar SU; Erdem A; Erdem E; Oguz KK; Çukur T
    Med Image Anal; 2021 May; 70():101944. PubMed ID: 33690024
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Image Synthesis in Multi-Contrast MRI With Conditional Generative Adversarial Networks.
    Dar SU; Yurt M; Karacan L; Erdem A; Erdem E; Cukur T
    IEEE Trans Med Imaging; 2019 Oct; 38(10):2375-2388. PubMed ID: 30835216
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Fat-saturated image generation from multi-contrast MRIs using generative adversarial networks with Bloch equation-based autoencoder regularization.
    Kim S; Jang H; Hong S; Hong YS; Bae WC; Kim S; Hwang D
    Med Image Anal; 2021 Oct; 73():102198. PubMed ID: 34403931
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Multi-Modal MRI Image Synthesis via GAN With Multi-Scale Gate Mergence.
    Zhan B; Li D; Wu X; Zhou J; Wang Y
    IEEE J Biomed Health Inform; 2022 Jan; 26(1):17-26. PubMed ID: 34125692
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Common feature learning for brain tumor MRI synthesis by context-aware generative adversarial network.
    Huang P; Li D; Jiao Z; Wei D; Cao B; Mo Z; Wang Q; Zhang H; Shen D
    Med Image Anal; 2022 Jul; 79():102472. PubMed ID: 35567847
    [TBL] [Abstract][Full Text] [Related]  

  • 7. BTMF-GAN: A multi-modal MRI fusion generative adversarial network for brain tumors.
    Liu X; Chen H; Yao C; Xiang R; Zhou K; Du P; Liu W; Liu J; Yu Z
    Comput Biol Med; 2023 May; 157():106769. PubMed ID: 36947904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Missing MRI Pulse Sequence Synthesis Using Multi-Modal Generative Adversarial Network.
    Sharma A; Hamarneh G
    IEEE Trans Med Imaging; 2020 Apr; 39(4):1170-1183. PubMed ID: 31603773
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MR-contrast-aware image-to-image translations with generative adversarial networks.
    Denck J; Guehring J; Maier A; Rothgang E
    Int J Comput Assist Radiol Surg; 2021 Dec; 16(12):2069-2078. PubMed ID: 34148167
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hi-Net: Hybrid-Fusion Network for Multi-Modal MR Image Synthesis.
    Zhou T; Fu H; Chen G; Shen J; Shao L
    IEEE Trans Med Imaging; 2020 Sep; 39(9):2772-2781. PubMed ID: 32086202
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Deep learning-based multi-modal computing with feature disentanglement for MRI image synthesis.
    Fei Y; Zhan B; Hong M; Wu X; Zhou J; Wang Y
    Med Phys; 2021 Jul; 48(7):3778-3789. PubMed ID: 33959965
    [TBL] [Abstract][Full Text] [Related]  

  • 13. 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]  

  • 14. T1-weighted and T2-weighted MRI image synthesis with convolutional generative adversarial networks.
    Kawahara D; Nagata Y
    Rep Pract Oncol Radiother; 2021; 26(1):35-42. PubMed ID: 33948300
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Attention-Based Multi-Scale Generative Adversarial Network for synthesizing contrast-enhanced MRI.
    Pan M; Zhang H; Tang Z; Zhao Y; Tian J
    Annu Int Conf IEEE Eng Med Biol Soc; 2021 Nov; 2021():3650-3653. PubMed ID: 34892028
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Recovering from missing data in population imaging - Cardiac MR image imputation via conditional generative adversarial nets.
    Xia Y; Zhang L; Ravikumar N; Attar R; Piechnik SK; Neubauer S; Petersen SE; Frangi AF
    Med Image Anal; 2021 Jan; 67():101812. PubMed ID: 33129140
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 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]  

  • 19. Multi-sequence MR image-based synthetic CT generation using a generative adversarial network for head and neck MRI-only radiotherapy.
    Qi M; Li Y; Wu A; Jia Q; Li B; Sun W; Dai Z; Lu X; Zhou L; Deng X; Song T
    Med Phys; 2020 Apr; 47(4):1880-1894. PubMed ID: 32027027
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Transformer-Based T2-weighted MRI Synthesis from T1-weighted Images.
    Pan K; Cheng P; Huang Z; Lin L; Tang X
    Annu Int Conf IEEE Eng Med Biol Soc; 2022 Jul; 2022():5062-5065. PubMed ID: 36083917
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.