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PUBMED FOR HANDHELDS

Journal Abstract Search


519 related items for PubMed ID: 35567847

  • 1. 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
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  • 2. Multi-Modal Brain Tumor Data Completion Based on Reconstruction Consistency Loss.
    Jiang Y, Zhang S, Chi J.
    J Digit Imaging; 2023 Aug; 36(4):1794-1807. PubMed ID: 36856903
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  • 3. DualMMP-GAN: Dual-scale multi-modality perceptual generative adversarial network for medical image segmentation.
    Zhu L, He Q, Huang Y, Zhang Z, Zeng J, Lu L, Kong W, Zhou F.
    Comput Biol Med; 2022 May; 144():105387. PubMed ID: 35305502
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  • 4. 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
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  • 8. 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
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  • 12. Bidirectional feature matching based on deep pairwise contrastive learning for multiparametric MRI image synthesis.
    Touati R, Kadoury S.
    Phys Med Biol; 2023 Jun 15; 68(12):. PubMed ID: 37257456
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  • 14. Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss.
    Ouyang J, Chen KT, Gong E, Pauly J, Zaharchuk G.
    Med Phys; 2019 Aug 15; 46(8):3555-3564. PubMed ID: 31131901
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  • 19. Generative adversarial networks with decoder-encoder output noises.
    Zhong G, Gao W, Liu Y, Yang Y, Wang DH, Huang K.
    Neural Netw; 2020 Jul 15; 127():19-28. PubMed ID: 32315932
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  • 20. 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 15; 26(1):17-26. PubMed ID: 34125692
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