#neuroimaging

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2 curated events

papersSEP 11 04:00 UTC

arXiv paper uses representation learning on cortical folding to study neurodevelopmental markers

A preprint on arXiv cs.LG describes a method that learns representations of human cortical folding patterns, which form before birth and stay largely stable afterwards. The authors suggest these folding signatures could serve as early markers of neurodevelopment. The abstract is truncated, so reported results could not be fully assessed.

arxiv/representation-learning/neuroimaging/research

papersSEP 10 04:00 UTC

XAI-Refine: Automated Explanation-Knowledge Loop for Brain-Age Prediction

A new arXiv preprint introduces XAI-Refine, a framework that couples post-hoc explanation methods with a knowledge-refinement loop for brain-age prediction models. The authors argue that high predictive accuracy alone does not show a model relies on reproducible or neurobiologically plausible mechanisms, so explanations are fed back to iteratively improve the model. The approach aims to make brain-age estimates more interpretable and mechanistically grounded.

brain-age/explainability/research/neuroimaging