SELECTOR: Heterogeneous graph network with convolutional masked autoencoder for multimodal robust prediction of cancer survival. - Liangrui Pan; Yijun Peng; Yan Li; Xiang Wang; Wenjuan Liu; Liwen Xu; Qingchun Liang; Shaoliang Peng (Comput. Biol. Medicine, 2024)

DEDUCE: Multi-head attention decoupled contrastive learning to discover cancer subtypes based on multi-omics data. - Liangrui Pan; Xiang Wang; Qingchun Liang; Jiandong Shang; Wenjuan Liu; Liwen Xu; Shaoliang Peng (Comput. Methods Programs Biomed., 2024)

Opportunities and challenges in the application of large artificial intelligence models in radiology. - Liangrui Pan; Zhenyu Zhao; Ying Lu; Kewei Tang; Liyong Fu; Qingchun Liang; Shaoliang Peng (CoRR, 2024)

FORESEE: Multimodal and Multi-view Representation Learning for Robust Prediction of Cancer Survival. - Liangrui Pan; Yijun Peng; Yan Li; Yiyi Liang; Liwen Xu; Qingchun Liang; Shaoliang Peng (CoRR, 2024)

Feature-interactive Siamese graph encoder-based image analysis to predict STAS from histopathology images in lung cancer. - Liangrui Pan; Qingchun Liang; Wenwu Zeng; Yijun Peng; Zhenyu Zhao; Yiyi Liang; Jiadi Luo; Xiang Wang; Shaoliang Peng (CoRR, 2024)

Application of deep learning-based multimodal fusion technology in cancer diagnosis: A survey. - Yan Li; Liangrui Pan; Yijun Peng; Xiaoyu Li; Xiang Wang; Limeng Qu; Qiya Song; Qingchun Liang; Shaoliang Peng (Eng. Appl. Artif. Intell., 2025)

SMILE: a Scale-aware Multiple Instance Learning Method for Multicenter STAS Lung Cancer Histopathology Diagnosis. - Liangrui Pan; Xiaoyu Li; Yutao Dou; Qiya Song; Jiadi Luo; Qingchun Liang; Shaoliang Peng (CoRR, 2025)

PathGene: Benchmarking Driver Gene Mutations and Exon Prediction Using Multicenter Lung Cancer Histopathology Image Dataset. - Liangrui Pan; Qingchun Liang; Shen Zhao; Songqing Fan; Shaoliang Peng (CoRR, 2025)

STAMP: Multi-pattern Attention-aware Multiple Instance Learning for STAS Diagnosis in Multi-center Histopathology Images. - Liangrui Pan; xiaoyu Li; Guang Zhu; Guanting Li; Ruixin Wang; Jiadi Luo; Yaning Yang; Qingchun Liang; Shaoliang Peng (CoRR, 2025)