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    • Multidimensional dual encoding network for liver lesion classification from multi-phase magnetic resonance imaging
    • The cross-modality survival prediction method of glioblastoma based on dual-graph neural networks
    • DMCA-GAN: dual multilevel constrained attention GAN for MRI-based hippocampus segmentation
    • A histogram-driven generative adversarial network for brain MRI to CT synthesis
    • Unsupervised deep consistency learning adaptation network for cardiac cross-modality structural segmentation
    • A task-unified network with transformer and spatial–temporal convolution for left ventricular quantification
    • The multimodal MRI brain tumor segmentation based on AD-net
    • MLRD-net: 3D multiscale local cross-channel residual denoising network for MRI-based brain tumor segmentation
    • DSLN: dual-tutor student learning network for multiracial glaucoma detection
    • TAUNet: a triple-attention-based multi-modality MRI fusion U-net for cardiac pathology segmentation
    • MFAUNet: multiscale feature attentive U‐net for cardiac MRI structural segmentation
    • CCUT-Net: Pixel-Wise Global Context Channel Attention UT-Net for Head and Neck Tumor Segmentation
    • Segmentation of the multimodal brain tumor image used the multi-pathway architecture method based on 3D FCN
    • Segmentation of the multimodal brain tumor images used res-U-net
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Internationalization (i18n)

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