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Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention.

, , , , , и . ISBI, стр. 385-389. IEEE, (2020)

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Haibo Xuan

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Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution., , , , , , , , , и 1 other автор(ы). IEEE Trans. Medical Imaging, 42 (2): 368-379 (февраля 2023)Robust Brain Magnetic Resonance Image Segmentation for Hydrocephalus Patients: Hard and Soft Attention., , , , , и . ISBI, стр. 385-389. IEEE, (2020)A current bleeding mixer based on Gilbert-cell featuring LO amplification., , , и . SoCC, стр. 137-140. IEEE, (2009)A Self-ensembling Framework for Semi-supervised Knee Cartilage Defects Assessment with Dual-Consistency., , , , , , , , и . PRIME@MICCAI, том 12329 из Lecture Notes in Computer Science, стр. 200-209. Springer, (2020)Knee Cartilage Defect Assessment by Graph Representation and Surface Convolution., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Reconstruction of Isotropic High-Resolution MR Image from Multiple Anisotropic Scans Using Sparse Fidelity Loss and Adversarial Regularization., , , , , , и . MICCAI (3), том 11766 из Lecture Notes in Computer Science, стр. 65-73. Springer, (2019)Arbitrary Reduction of MRI Inter-slice Spacing Using Hierarchical Feature Conditional Diffusion., , , , , , , и . MLMI@MICCAI (1), том 14348 из Lecture Notes in Computer Science, стр. 23-32. Springer, (2023)3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment., , , , , , , , , и 1 other автор(ы). MLMI@MICCAI, том 12966 из Lecture Notes in Computer Science, стр. 347-355. Springer, (2021)Spatial attention-based implicit neural representation for arbitrary reduction of MRI slice spacing., , , , , , , , , и . Medical Image Anal., (2024)Learning MRI k-Space Subsampling Pattern Using Progressive Weight Pruning., , , , и . MICCAI (2), том 12262 из Lecture Notes in Computer Science, стр. 178-187. Springer, (2020)