Author

Wang-Ning Ge

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Preprint Aug 2026

ELVAE: Evidential Learning-Based Variational Autoencoder for Uncertainty-Aware Generation

ELVAE exposes a controllable sensitivity mechanism whose trained four-output realization is operationally informative, while the exact reconstruction-visible information remains three-dimensional and baseline image quality is a separate question.

Wang-Ning Ge · 3 citations

Preprint Jul 2026

ELECTRIC: Evidential Learning-Enhanced CT Reconstruction via Iterative Correction

This work introduces ELECTRIC (Evidential Learning-Enhanced CT Reconstruction via Iterative Correction), a physics-guided Bayesian formulation that provides an evidential neural network and an error-predictive epistemic-uncertainty surrogate, and demonstrates the complete ELECTRIC closed-loop pipeline.

Wang-Ning Ge · 0 citations