SEMIR replaces dense voxel computation with a learned topology-preserving graph minor that supports exact decoding and GNN-based inference for small-structure segmentation in large medical images.
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Central positions in innovation networks lead firms to pursue more exploratory technological search and broader portfolios, producing measurable productivity gains.
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SEMIR: Semantic Minor-Induced Representation Learning on Graphs for Visual Segmentation
SEMIR replaces dense voxel computation with a learned topology-preserving graph minor that supports exact decoding and GNN-based inference for small-structure segmentation in large medical images.
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From centrality to productivity: How firms reconfigure technological search in innovation networks?
Central positions in innovation networks lead firms to pursue more exploratory technological search and broader portfolios, producing measurable productivity gains.