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Coupling adaptive normalization with few-shot meta-learning and anatomical concept guidance provides a practical pathway toward robust and transparent AI-assisted neuroimaging diagnosis, and suggests that coupling adaptive normalization with few-shot meta-learning and anatomical concept guidance provides a practical pa...
The proposed causal-aware distilled GBDT achieves stronger predictive performance than conventional interpretable baselines and substantially higher causal consistency than black-box temporal models, suggesting that causal structure can serve as an inductive bias for converting complex temporal prediction into interpre...
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