Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations. - Liyilei Su; Xianjun Fu; Xiaodong Zhang 024; Xiaoguang Cheng; Yimin Ma; Yungen Gan; Qingmao Hu (IEEE Access, 2018)

A convolutional generative adversarial framework for data augmentation based on a robust optimal transport metric. - Liyilei Su; Xianjun Fu; Qingmao Hu (HPCC/DSS/SmartCity/DependSys, 2021)

Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment. - Liyilei Su; Xianjun Fu; Qingmao Hu (Comput. Methods Programs Biomed., 2021)

Semi-supervised 3D U-Net Learning Based on Meta Pseudo Labels. - Chuda Xiao; Zhuo Chen; Haoyu Li; Dan Li; Rashid Khan; Jinyu Tian 005; Weiguo Xie; Liyilei Su (FLARE@MICCAI, 2022)

Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods. - Ruyun Ruan; Shoujin Huang; Liyilei Su; Rashid Khan; Bingding Huang (AAIA, 2023)

Label-efficient Multi-organ Segmentation Method with Diffusion Model. - Yongzhi Huang; Jinxin Zhu; Haseeb Hassan; Liyilei Su; Jingyu Li; Bingding Huang (CoRR, 2024)

Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. - Chengmin Zhou; Liyilei Su; Tiegong Wang; Jinxing Gao; Jing Li; Jun Liu; Zongzhou Ye; Xiaoming Zhai; Weiguo Xie; Chengwei Shao; Bingding Huang (Biomed. Signal Process. Control., 2024)

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. - Xiangyang Hu; Xiangyu Shen; Yifei Sun 005; Xuhao Shan; Wenwen Min; Liyilei Su; Xiaomao Fan; Ahmed Elazab; Ruiquan Ge; Changmiao Wang; Xiaopeng Fan (ISBI, 2025)

A systematic review for transformer-based long-term series forecasting. - Liyilei Su; Xumin Zuo; Rui Li; Xin Wang 168; Heng Zhao; Bingding Huang (Artif. Intell. Rev., 2025)