October 2026

Material decomposition enables spectral CT to distinguish and quantify different materials, serving as the cornerstone of several clinically important applications. However, the material decomposition

Hyperspectral imaging provides rich spectral information for quantitative remote sensing, yet hyperspectral sensors remain costly and thus unavailable in many UAV deployments. Spectral super-resolutio

This study proposes an innovative unsupervised reconstruction approach for solving highly nonlinear and ill-posed inverse scattering problems (ISPs). We establish a novel implicit representation metho

Terahertz synthetic aperture radar (THz-SAR) provides high spatial resolution and low latency, offering significant potential for advanced remote sensing applications. However, motion compensation in

Lensless diffraction imaging provides an effective solution for developing IoMT-based cell analysis devices, although it remains challenging to develop a sensing-computing integrated circuit for diffr