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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

Weigang Hu

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Open access Sep 2026

Interpretable graph-conditioned CNNs for dose-volume histogram prediction in radiotherapy.

BACKGROUND Accurate dose-volume histogram (DVH) prediction is essential for high-quality and automated radiotherapy (RT) planning. However, existing deep learning methods primarily focus on voxel-level dose prediction followed by post-processing to extract DVHs, a workflow that can introduce cumulative errors and limit...

Xiao-Ling Zhu, C. Ling, Hao Xu et al. · 0 citations
Open access Aug 2026

Decoupling the dosimetric impact of setup errors and anatomical deformations in image-guided radiotherapy using diagnostic-quality FBCT and glmmLasso regularization

This study uses artifact-free fan-beam CT (FBCT) and a generalized linear mixed Lasso model to decouple interfraction setup errors and anatomical deformations within a simulated image-guided radiotherapy workflow, providing quantitative support for future site-specific ART research.

Lianzi Zhao, Ying Guo, Yuanshuai Di et al. · 0 citations

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