Liyilei Su

According to our database, Liyilei Su authored at least 13 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

A systematic review for transformer-based long-term series forecasting.

Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang

Artif. Intell. Rev., March, 2025

RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans.

Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang

Complex Intell. Syst., 2025

ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction.

Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning.

Wei Zhang, Yu Lu, Han Jiang, Xiujuan Zhao, Qianying Liu, Bingding Huang, Zhaoshun Zhang, Zhicheng Dong, Liyilei Su

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

SegSAM-3D: Integrating Semantic Point Prompts and Multi-Layer Feature Sampling in SAM for Medical Imaging Segmentation.

Jiayi Wu, Rashid Khan, Haoran Zheng, Liyilei Su, Wei Zhang, Bingding Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

Diffusion-Based Pre-Training for Label-Efficient Abdominal Multi-Organ Segmentation.

Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Jingyu Li, Liyilei Su, Bingding Huang

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

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., January, 2024

Label-efficient Multi-organ Segmentation Method with Diffusion Model.

Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Liyilei Su, Jingyu Li, Bingding Huang

CoRR, 2024

2023

Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods.

Ruyun Ruan, Shoujin Huang, Liyilei Su, Rashid Khan, Bingding Huang

Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2022

Semi-supervised 3D U-Net Learning Based on Meta Pseudo Labels.

Chuda Xiao, Zhuo Chen, Haoyu Li, Dan Li, Rashid Khan, Jinyu Tian, Weiguo Xie, Liyilei Su

Proceedings of the Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, 2022

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

A convolutional generative adversarial framework for data augmentation based on a robust optimal transport metric.

Liyilei Su, Xianjun Fu, Qingmao Hu

Proceedings of the 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th Int Conf on Data Science & Systems; 19th Int Conf on Smart City; 7th Int Conf on Dependability in Sensor, 2021

2018

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, Xiaoguang Cheng, Yimin Ma, Yungen Gan, Qingmao Hu

IEEE Access, 2018