COVID-19 lung infection segmentation with a novel two-stage cross-domain transfer learning framework. - Jiannan Liu; Bo Dong 001; Shuai Wang 038; Hui Cui 002; Deng-Ping Fan; Jiquan Ma; Geng Chen 001 (Medical Image Anal., 2021)

Learning global dependencies and multi-semantics within heterogeneous graph for predicting disease-related lncRNAs. - Ping Xuan; Shuai Wang 038; Hui Cui 002; Yue Zhao; Tiangang Zhang; Peiliang Wu (Briefings Bioinform., 2022)

Graph Reasoning Method Based on Affinity Identification and Representation Decoupling for Predicting lncRNA-Disease Associations. - Shuai Wang 038; Hui Cui 002; Tiangang Zhang; Peiliang Wu; Toshiya Nakaguchi; Ping Xuan (J. Chem. Inf. Model., 2023)

Learning Association Characteristics by Dynamic Hypergraph and Gated Convolution Enhanced Pairwise Attributes for Prediction of Disease-Related lncRNAs. - Ping Xuan; Siyuan Lu; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Mask-Guided Target Node Feature Learning and Dynamic Detailed Feature Enhancement for lncRNA-Disease Association Prediction. - Ping Xuan; Wei Wang; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Tiangang Zhang (J. Chem. Inf. Model., 2024)

Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes. - Ping Xuan; Jing Gu; Hui Cui 002; Shuai Wang 038; Toshiya Nakaguchi; Cheng Liu; Tiangang Zhang (Bioinform., 2024)