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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Weigang Hu

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Open access Sep 2026

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

A novel deep learning framework that directly predicts full DVHs for multiple organs-at-risk (OARs) from computed tomography (CT) and structure contours and a graph neural network (GNN) that models each DVH as a structured graph, enabling sequential dose-volume dependencies to be learned explicitly.

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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