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Author

Ruishan Liu

3 papers indexed here

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Open access Jul 2026

Interpretable multimodal deep learning for time-resolved survival prediction after hepatocellular carcinoma resection.

Hepatocellular carcinoma (HCC) exhibits substantial interpatient heterogeneity, leading to markedly variable outcomes and survival even among patients with similar stages and imaging phenotypes. Mainstream staging systems remain suboptimal, whereas pathology-dependent factors and high-cost genomic assays are neither sc...

Fan Li, Huancheng Yang, Ruishan Liu et al. · 0 citations
Open access Jul 2026

Prediction of axillary lymph node metastasis using a transformer model and multi-omics validation in breast cancer.

Our study developed a multiomics-driven transformer model that combines mammography, MRI, transcriptomic and proteomic data to noninvasively predict axillary lymph node (ALN) metastasis in breast cancer. A total of 2105 patients from 10 institutions were included for model training and validation. The model achieved an...

Xiaodong Liu, Fan Li, Ye Xiang et al. · 0 citations

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