Tag: image reconstruction

Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...

Researchers have used conditional generative diffusion models to complete truncated X-ray projection data, substantially reducing artifacts in cone-beam CT reconstructions.

Researchers in Lübeck have trained a neural network to reconstruct CT images using only raw X-ray measurements and scanner physics, ...

A new study quantifies how the Sun's gravity could act as a colossal telescope lens, identifying white dwarfs, stellar surfaces, ...

A prospective study of 124 patients found that a deep learning reconstruction technique called DEPICTA can complete a multi-contrast brain ...

Researchers at Harbin Engineering University have developed a dual-stream semantic communication framework that lets embodied AI agents preserve both visual ...