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Open access Aug 2026

A Bilingual Benchmark for Evaluating Diagnostic Performance of Multimodal Large Language Models in Radiology (RadM-Bench): Evaluation Development and Validation

Abstract Background Multimodal large language models are increasingly used in radiological diagnosis, but their performance has not been systematically evaluated across volumetric (3D) imaging, real-world clinical versus public teaching cases, and bilingual contexts. Objective The aim of the study is to develop a bilin...

Qing-Xia Wu, Qing-Xia Wu, Pei-Pei Zhang et al. · 0 citations
Open access Sep 2026

SubDIVIDE: Efficient tensor‐valued diffusion magnetic resonance imaging via joint diffusional variance decomposition modeling and subspace reconstruction

Tensor‐valued diffusion MRI enables disentangling microscopic diffusion anisotropy and isotropic heterogeneity through models such as diffusional variance decomposition (DIVIDE) and diffusion tensor distributions (DTD). However, these models require dense sampling across multiple b ‐values and b‐tensor shapes, ma...

Cheng Yang, Jing-Guo Yan, Zi-Han Zhou et al. · 0 citations

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