Author

Yu Shen

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Open access Aug 2026

A curriculum-guided unified framework for robust unsupervised domain adaptation on multi-cohort Parkinson’s disease diagnosis

Background Current artificial intelligence (AI) models for Parkinson’s disease (PD) diagnosis via magnetic resonance imaging (MRI) are significantly impeded by domain shift, and performance often decreases due to heterogeneity in imaging protocols and scanners across hospitals. While existing unsupervised domain adapta...

Yu Shen, Jinjin Hai, Kai Qiao et al. · Quantitative Imaging in Medi... · 0 citations

Open access Aug 2026

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

Within the scope of this benchmark, multimodal inputs improved performance over clinical history alone, but performance gaps remain in volumetric data processing and cross-context generalization, with mean diagnostic performance across the 10 evaluated models remaining below clinically actionable levels on both dataset...

Qing-Xia Wu, Qing-Xia Wu, Pei-Pei Zhang et al. · Journal of Medical Internet... · 0 citations