Liyilei Su - RankMe

15 papers Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A systematic review for transformer-based long-term series forecasting. Artif. Intell. Rev. Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang
2025	—	`conf`	Diffusion-Based Pre-Training for Label-Efficient Abdominal Multi-Organ Segmentation. BIBM Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Jingyu Li, Liyilei Su, Bingding Huang
2025	—	`conf`	Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning. BIBM Wei Zhang, Yu Lu, Han Jiang, Xiujuan Zhao, Qianying Liu, Bingding Huang, Zhaoshun Zhang, Zhicheng Dong, Liyilei Su
2025	—	`conf`	ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. ISBI Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan
2025	J	`jnl`	ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. CoRR Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan
2025	J	`jnl`	RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans. Complex Intell. Syst. Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang
2025	—	`conf`	SegSAM-3D: Integrating Semantic Point Prompts and Multi-Layer Feature Sampling in SAM for Medical Imaging Segmentation. BIBM Jiayi Wu, Rashid Khan, Haoran Zheng, Liyilei Su, Wei Zhang, Bingding Huang
2024	J	`jnl`	Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. Biomed. Signal Process. Control. Chengmin Zhou, Liyilei Su, Tiegong Wang, Jinxing Gao, Jing Li, Jun Liu, Zongzhou Ye, Xiaoming Zhai, Weiguo Xie, Chengwei Shao, Bingding Huang
2024	J	`jnl`	Label-efficient Multi-organ Segmentation Method with Diffusion Model. CoRR Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Liyilei Su, Jingyu Li, Bingding Huang
2023	J	`jnl`	A Systematic Review for Transformer-based Long-term Series Forecasting. CoRR Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang
2023	—	`conf`	Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods. AAIA Ruyun Ruan, Shoujin Huang, Liyilei Su, Rashid Khan, Bingding Huang
2022	—	`conf`	Semi-supervised 3D U-Net Learning Based on Meta Pseudo Labels. FLARE@MICCAI Chuda Xiao, Zhuo Chen, Haoyu Li, Dan Li, Rashid Khan, Jinyu Tian, Weiguo Xie, Liyilei Su
2021	—	`conf`	A convolutional generative adversarial framework for data augmentation based on a robust optimal transport metric. HPCC/DSS/SmartCity/DependSys Liyilei Su, Xianjun Fu, Qingmao Hu
2021	J	`jnl`	Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment. Comput. Methods Programs Biomed. Liyilei Su, Xianjun Fu, Qingmao Hu
2018	J	`jnl`	Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations. IEEE Access Liyilei Su, Xianjun Fu, Xiaodong Zhang, Xiaoguang Cheng, Yimin Ma, Yungen Gan, Qingmao Hu