A graph network that predicts future subcortical surface shape from the metric tensor, decoded with as-rigid-as-possible reconstruction, beats the temporal mean on all 14 ADNI structures.
Title resolution pending
1 Pith paper cite this work, alongside 38 external citations. Polarity classification is still indexing.
1
Pith paper citing it
38
external citations · OpenAlex
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2026 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Predicting Brain Morphometry with MT-GNN: Mesh Evolution in Continuous Time with Graph-Based Metric Tensor Embeddings
A graph network that predicts future subcortical surface shape from the metric tensor, decoded with as-rigid-as-possible reconstruction, beats the temporal mean on all 14 ADNI structures.