Veritas.AI is designed to advance the functionality of Spectrum Dynamics’ VERITON-CT scanner for nuclear imaging.

The final, formatted version of the article will be published soon. High-resolution retinal fundus images are critical for diagnosing diabetic retinopathy, yet clinical datasets often contain ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving classification and segmentation tasks.

Recent research (2024-2025) consistently demonstrates the advantages of integrated AI-VR training: Knowledge Acquisition: ...

Abstract: Deep neural networks have demonstrated highly competitive performance in super-resolution (SR) for natural images by learning mappings from low-resolution (LR) to high-resolution (HR) images ...

Detecting concealed explosives and chemical threats constitutes a critical challenge in global security, yet current ...

Monitoring forest health typically relies on remote sensing tools such as light detection and ranging (LiDAR), radar, and multispectral photography. While radar and LiDAR penetrate canopies to reveal ...

1 Department of Analytics, Harrisburg University of Science and Technology, Harrisburg, PA, United States 2 Department of Emergency Medicine, UMass Chan Medical School, Worcester, MA, United States ...

Abstract: Hyperspectral single-image super-resolution (SISR) remains a challenging task due to the difficulty of restoring fine spatial details and preserving spectral fidelity across a wide range of ...

A handful of Republicans joined Democrats to allow the measure to move forward, reflecting concerns in both parties about the administration’s strategy. By Robert Jimison and Megan Mineiro Reporting ...