IEEE

HGTFN: A Hypergraph and Transformer Fusion Network for Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have demonstrated significant potential in hyperspectral image (HSI) classification. However, their performance is often constrained by fixed graph structures ...
IEEE

Progressive Hybrid-Order Hypergraph Framework for Hyperspectral Image Classification

Abstract: Hypergraph neural networks (HGNNs) have garnered considerable attention in hyperspectral image (HSI) classification for their ability to model higher order nonlinear relationships. However, ...
eWeek

6 Free AI Image Editors for Prompt-Based Photo Editing in 2026

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
The Lancet

AI-based volumetric six-tissue body composition quantification from CT cardiac attenuation scans for mortality prediction: a multicentre study

aDepartments of Medicine (Division of Artificial Intelligence in Medicine), Biomedical Sciences, and Imaging, Cedars-Sinai Medical Center, Los Angeles, CA, USA hDivision of Cardiology, Department of ...