Publications

• Gao, R., Yuan, X., Sun, Y. et al. “Enhancing gastric cancer prognosis prediction via multi-step multi-modality ensemble survival modeling of HE-stained images and mIHC data.”. Computer Methods and Programs in Biomedicine, 2025. paper & code
• Gao, R., Yuan, X., Ma, Y. et al. “Harnessing TME depicted by histological images to improve cancer prognosis through a deep learning system.”. Cell Reports Medicine, 2024. paper & code
• Gao, R., Zhao, S., Aishanjiang, K. et al. “Deep learning for differential diagnosis of malignant hepatic tumors based on multi-phase contrast-enhanced CT and clinical data.” Journal of hematology & oncology, 2021. paper & code
• Wang, Y., Gao, R., Wei, T. et al. “Predicting long-term progression of Alzheimer’s disease using a multimodal deep learning model incorporating interaction effects.” Journal of Translational Medicine, 2024. paper
• Hong, J., Gao, R. and Yang, Y. “CrepHAN: cross-species prediction of enhancers by using hierarchical attention networks.” Bioinformatics, 2021. paper
• Yuan, X., Ma, Y., Gao, R. et al. “HEARTSVG: a fast and accurate method for identifying spatially variable genes in large-scale spatial transcriptomics.”. Nature Communications, 2024. paper
• Wei, T., Yuan, X., Gao, R.. et al. “Survival prediction of stomach cancer using expression data and deep learning models with histopathological image.” Cancer Science, 2023. paper

You can also find some of my publications on my Google Scholar profile.