Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Advances in Total-Body PET/CT Research. Journal of Biosciences and Medicines, 14, 274-282. doi: 10.4236/jbm.2026.141021 . PET ...

The proposal was prompted by Proposition 50, which aims to redraw congressional districts. Critics and some supervisors questioned the proposal's feasibility, citing financial concerns and a lack of ...

Abstract: Super resolution (SR) has garnered significant attention within the computer vision community, driven by advances in deep learning (DL) techniques and the growing demand for high-quality ...

Existing super-resolution techniques still face considerable challenges in complex deep tissue environments. For example, Stimulated Emission Depletion (STED) microscopy relies on a doughnut-shaped ...

X-ray computed tomography (CT) is widely used in clinical practice for screening and diagnosing patients, as it enables the acquisition of high-resolution images of internal tissues and organs in a ...

Extreme weather events such as heatwaves, cyclones, floods, wildfires, and droughts are becoming more frequent due to climate change. Climate change causes shifts in biodiversity and impacts ...

eDL-cSIM: An AI-driven super-resolution imaging method that captures high-quality live-cell dynamics in a single exposure, enhancing speed, resolution, and environmental robustness for advanced ...

Deep learning–based synthetic super-resolution magnetic resonance imaging (SynthMRI) may improve the quantitative lesion performance of portable low–field strength magnetic resonance imaging (LF-MRI).