Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Qiang Lin

View on Semantic Scholar

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#edge computing Open access Sep 2026

A deep learning framework with directional perception and spatial focusing for enhanced low-dose CT image denoising

Low-dose computed tomography (CT) has been increasingly adopted to minimize radiation exposure. However, it often introduces excessive image noise and structural degradation, thereby compromising diagnostic accuracy. Existing deep learning-based denoising methods frequently suffer from over-smoothing and limited...

Qing-Lei Yan, Qiang Lin, Tong-Tong Li et al. · 0 citations
Sep 2026

Deep learning-based diagnostic report generation for low-resolution functional medical images via cross-modal visual and textual alignment

A unified framework for automatic report generation from SPECT bone scintigrams that integrates domain-adaptive representation learning, fine-grained image–text alignment, and anatomy-guided supervision is proposed, offering a valuable pathway to achieving trustworthy and intelligent diagnostic support within nuclear m...

Tao Song, Qiang Lin, Tong-Tong Li et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.