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合作作者[TOP 5]

  • 曹国华

    合作成果数：10

  • 白晓

    合作成果数：8

  • 王华民

    合作成果数：8

  • 王哲

    合作成果数：7

  • 吴嘉怡

    合作成果数：5

访问统计


  总访问量
 334
  访问来源
    内部： 4
    外部： 330
    国内： 290
    国外： 44

  年访问量
 115
  访问来源
    内部： 0
    外部： 115
    国内： 100
    国外： 15

  月访问量
 6
  访问来源
    内部： 0
    外部： 6
    国内： 3
    国外： 3

访问量

访问量

1. 基于双域数据的成像矫正方法、系统、终端以及介质 [314]
2. BACK PROJECTION TENSOR DOMAIN FUSION IMPROVES CROSS-DOMAIN DEEP RE.. [274]
3. DD-WGAN: Generative Adversarial Networks with Wasserstein Distance.. [254]
4. DDHANet: Dual-Domain Hybrid Attention-Guided Network For CT Scatte.. [251]
5. Feasibility of data-driven scatter correction method in a Triple-S.. [240]
6. A FEATURE-GUIDED DUAL-DOMAIN NETWORK FOR CT METAL ARTIFACT REDUCTI.. [225]
7. IRDNet: Iterative Relation-Based Dual-Domain Network via Metal Art.. [218]
8. Sinogram Fidelity Network For Metal Artifact Reduction (SFNet) [217]
9. A Generative Network with Dual-Domain Discriminators for Low-Dose .. [161]
10. A dual-domain network with division residual connection and featur.. [94]
11. 基于深度学习的锥形束CT散射校正方法 [2]

下载量

1. Feasibility of data-driven scatter correction method in a Triple-S.. [18]
2. Sinogram Fidelity Network For Metal Artifact Reduction (SFNet) [15]
3. A Generative Network with Dual-Domain Discriminators for Low-Dose .. [12]
4. IRDNet: Iterative Relation-Based Dual-Domain Network via Metal Art.. [11]
5. A dual-domain network with division residual connection and featur.. [8]
6. BACK PROJECTION TENSOR DOMAIN FUSION IMPROVES CROSS-DOMAIN DEEP RE.. [7]
7. A FEATURE-GUIDED DUAL-DOMAIN NETWORK FOR CT METAL ARTIFACT REDUCTI.. [6]
8. DD-WGAN: Generative Adversarial Networks with Wasserstein Distance.. [5]
9. DDHANet: Dual-Domain Hybrid Attention-Guided Network For CT Scatte.. [5]
10. 基于双域数据的成像矫正方法、系统、终端以及介质 [1]