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20242026
most citedHigh-throughput digital twin framework for predicting neurite deterioration using MetaFormer attention

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2026

MGRD: Compact morphology-gated residual diffusion for variance-aware cross-domain neurite forecasting

Tsung Yeh Hsieh, Cosmin Anitescu, Chunghwan Kim +2

Tracking neurite morphology over time helps characterize structural changes during neuronal development and deterioration, but long-term time-lapse imaging is resource-intensive an…