Yu, Rongshan

Using deep learning to predict anti-PD-1 response in melanoma and lung cancer patients from histopathology images

Hu, J., Cui, C., Yang, W., Huang, L., Yu, R., Liu, S., & Kong, Y. (2021) · Translational Oncology

AI in cancer detectionCancer Immunotherapy and Biomarkers

Cited by 75

Hybrid graph convolutional network with online masked autoencoder for robust multimodal cancer survival prediction

Hou, W., Lin, C., Yu, L., Qin, J., Yu, R., & Wang, L. (2023) · IEEE Transactions on Medical Imaging

Machine Learning in HealthcareAdvanced Graph Neural Networks

Cited by 74

Opioid-induced fragile-like regulatory T cells contribute to withdrawal

Zhu, Y., Yan, P., Wang, R., Lai, J., Tang, H., Xiao, X., Yu, R., Bao, X., Zhu, F., Wang, K., et al. (2023) · Cell

Opioid Use Disorder TreatmentImmunotoxicology and immune responses

Cited by 73

Deepfakes: A new threat to image fabrication in scientific publications?

Wang, L., Zhou, L., Yang, W., & Yu, R. (2022) · Patterns

Digital Media Forensic DetectionAcademic integrity and plagiarism

Cited by 60

Tracing unknown tumor origins with a biological-pathway-based transformer model

Xie, J., Chen, Y., Luo, S., Yang, W., Lin, Y., Wang, L., Ding, X., Tong, M., & Yu, R. (2024) · Cell Reports Methods

Cancer Diagnosis and TreatmentGene expression and cancer classification

Cited by 9