Tag: image reconstruction

A Science Bulletin review finds that super-resolution microscopy is shifting from sharper visualization toward validated measurements of molecular organization and ...

A simulation study found that CLEAR combined channel-aware diffusion denoising with deep joint source–channel coding to improve image reconstruction over ...

Ukrainian researchers report a hybrid CUDA execution method that accelerates wavelet-based MRI denoising to over 200 images per second while ...

Researchers have developed a pixel-segmenting imaging method that maps intra-pixel quantum efficiency using evolutionary algorithms, reducing the effective sampling unit ...

A University of Texas at Arlington team is developing AI-based 4D reconstruction methods to substantially reduce radiation dose in multi-phase ...

A Transformer-based network that treats each ultrasound sensor's time series as a token reconstructs photoacoustic images in a single forward ...

Researchers have integrated transformer attention mechanisms into learned primal-dual PET reconstruction, achieving cleaner images from noisy low-count scanner data.

Researchers have built a hybrid quantum-classical deep learning model that uses variational quantum circuits and a statistical image prior to ...

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.