Adam S. Wang

ENCORE: Efficient Noise Context-Aware Representation for Low-Dose CT Denoising

While deep learning-based denoising has become widely adopted in low-dose CT, conventional models use generic architectures designed for natural images, failing to account for non-stationary and spatially correlated CT noise characteristics. To address this, we propose an Efficient Noise COntext-aware REpresentation (E...