Prediction of Egfr Mutation Status in Lung Adenocarcinoma Using Multi-Source Feature Representations. - Jianhong Cheng; Jin Liu 012; Meilin Jiang; Hailin Yue; Lin Wu; Jianxin Wang 001 (ICASSP, 2021)

Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension. - Shuyue Liu; Junwen Duan; Feng Gong; Hailin Yue; Jianxin Wang 001 (ISBRA, 2022)

DARC: Deep adaptive regularized clustering for histopathological image classification. - Junjian Li; Jin Liu 012; Hailin Yue; Jianhong Cheng; Hulin Kuang; Harrison X. Bai; Yu-Ping Wang 002; Jianxin Wang 001 (Medical Image Anal., 2022)

MLDRL: Multi-loss disentangled representation learning for predicting esophageal cancer response to neoadjuvant chemoradiotherapy using longitudinal CT images. - Hailin Yue; Jin Liu 012; Junjian Li; Hulin Kuang; Jinyi Lang; Jianhong Cheng; Lin Peng; Yongtao Han; Harrison X. Bai; Yu-Ping Wang 002; Qifeng Wang; Jianxin Wang 001 (Medical Image Anal., 2022)

Prediction of Glioma Grade Using Intratumoral and Peritumoral Radiomic Features From Multiparametric MRI Images. - Jianhong Cheng; Jin Liu 012; Hailin Yue; Harrison X. Bai; Yi Pan 001; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Automated Diagnosis of COVID-19 Using Deep Supervised Autoencoder With Multi-View Features From CT Images. - Jianhong Cheng; Wei Zhao 040; Jin Liu 012; Xingzhi Xie; Shangjie Wu; Liangliang Liu 001; Hailin Yue; Junjian Li; Jianxin Wang 001; Jun Liu 075 (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Multimodal Disentangled Variational Autoencoder With Game Theoretic Interpretability for Glioma Grading. - Jianhong Cheng; Min Gao; Jin Liu 012; Hailin Yue; Hulin Kuang; Jun Liu 075; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2022)

Domain-specific Knowledge Guided Self-supervised Learning for Pathological Image Segmentation. - Chenhui Wang; Hulin Kuang; Jin Liu 012; Junjian Li; Hailin Yue; Jianxin Wang 001 (BIBM, 2023)

A Fully Automated CT-Guided Learning for Survival Prediction of Esophageal Cancer. - Hailin Yue; Jin Liu 012; Hulin Kuang; Jianhong Cheng; Junjian Li; Jianxin Wang 001 (BIBM, 2023)

RBS-Net: Hippocampus segmentation using multi-layer feature learning with the region, boundary and structure loss. - Yu Chen; Hailin Yue; Hulin Kuang; Jianxin Wang 001 (Comput. Biol. Medicine, 2023)

Chinese EMR Named Entity Recognition Using Fused Label Relations Based on Machine Reading Comprehension Framework. - Junwen Duan; Shuyue Liu; Xincheng Liao; Feng Gong; Hailin Yue; Jianxin Wang 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

SDMFF: Spatial-Temporal Dual-Pathway Network with Multi-scale Feature Fusion for Parkinson's Disease Diagnosis. - Yijin Wang; Hailin Yue; Hulin Kuang; Jianxin Wang 001 (ISBRA (1), 2025)

Segmentation-Guided Deep Learning for Glioma Survival Risk Prediction with Multimodal MRI. - Jianhong Cheng; Hulin Kuang; Songhan Yang; Hailin Yue; Jin Liu 012; Jianxin Wang (Big Data Min. Anal., 2025)

MiCo: Multiple Instance Learning with Context-Aware Clustering for Whole Slide Image Analysis. - Junjian Li; Hulin Kuang; Jin Liu; Hailin Yue; Mengshen He; Jianxin Wang (CoRR, 2025)

Bipartite Patient-Modality Graph Learning with Event-Conditional Modelling of Censoring for Cancer Survival Prediction. - Hailin Yue; Hulin Kuang; Jin Liu; Junjian Li; Lanlan Wang; Mengshen He; Jianxin Wang (CoRR, 2025)

CA2CL: Cluster-Aware Adversarial Contrastive Learning for Pathological Image Analysis. - Junjian Li; Hulin Kuang; Jin Liu 012; Hailin Yue; Jianxin Wang 001 (IEEE J. Biomed. Health Informatics, 2025)