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MGRD: Compact morphology-gated residual diffusion for variance-aware cross-domain neurite forecasting
Tracking neurite morphology over time helps characterize structural changes during neuronal development and deterioration, but long-term time-lapse imaging is resource-intensive and difficult to scale. Forecasting future morphology could reduce this burden. Existing neurite digital-twin models such
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