Unfolding Type-II Bayesian hyperparameter updates into a neural architecture with progressive correction mechanisms (biases to MLP to attention) improves reconstruction and convergence in brain source imaging while retaining algorithmic transparency.
Enhancing brain source reconstruction by initializing 3-d neural networks with physical inverse solutions.IEEE Transactions on Medical Imaging, 45(1):231–242, 2026
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Structure-Preserving Correction Learning for Sparse Bayesian Inference in Brain Source Imaging
Unfolding Type-II Bayesian hyperparameter updates into a neural architecture with progressive correction mechanisms (biases to MLP to attention) improves reconstruction and convergence in brain source imaging while retaining algorithmic transparency.