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Chang-ye Ni

1 paper hereh-index 562 citations12 works total

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  • middle author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • eess.IV1

identity via Semantic Scholar / OpenAlex

collaborators

1 paper

eess.IV2026

Revisiting Global Token Mixing in Task-Dependent MRI Restoration: Insights from Minimal Gated CNN Baselines

Xiangjian Hou, Chao Qin, Chang Ni +3

Global token mixing, implemented via self-attention or state-space sequence models, has become a popular model design choice for MRI restoration. However, MRI restoration tasks dif…

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