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2020 – today
- 2025
[j5]Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang
:
A systematic review for transformer-based long-term series forecasting. Artif. Intell. Rev. 58(3): 80 (2025)- [j4]Rashid Khan, Chao Chen, Asim Zaman, Jiayi Wu, Haixing Mai, Liyilei Su, Yan Kang, Bingding Huang:
RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans. Complex Intell. Syst. 11(2) (2025) - [c7]Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Jingyu Li, Liyilei Su, Bingding Huang:
Diffusion-Based Pre-Training for Label-Efficient Abdominal Multi-Organ Segmentation. BIBM 2025: 1-6 - [c6]Wei Zhang, Yu Lu, Han Jiang, Xiujuan Zhao, Qianying Liu, Bingding Huang, Zhaoshun Zhang, Zhicheng Dong, Liyilei Su:
Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning. BIBM 2025: 3248-3253 - [c5]Jiayi Wu, Rashid Khan, Haoran Zheng, Liyilei Su, Wei Zhang, Bingding Huang:
SegSAM-3D: Integrating Semantic Point Prompts and Multi-Layer Feature Sampling in SAM for Medical Imaging Segmentation. BIBM 2025: 5724-5731 - [c4]Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan:
ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. ISBI 2025: 1-5 - [i3]Xiangyang Hu, Xiangyu Shen, Yifei Sun, Xuhao Shan, Wenwen Min, Liyilei Su, Xiaomao Fan, Ahmed Elazab, Ruiquan Ge, Changmiao Wang, Xiaopeng Fan:
ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction. CoRR abs/2501.11276 (2025) - 2024
- [j3]Chengmin Zhou, Liyilei Su, Tiegong Wang, Jinxing Gao, Jing Li, Jun Liu, Zongzhou Ye, Xiaoming Zhai, Weiguo Xie, Chengwei Shao, Bingding Huang:
Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images. Biomed. Signal Process. Control. 87(Part B): 105505 (2024) - [i2]Yongzhi Huang, Jinxin Zhu, Haseeb Hassan, Liyilei Su, Jingyu Li, Bingding Huang:
Label-efficient Multi-organ Segmentation Method with Diffusion Model. CoRR abs/2402.15216 (2024) - 2023
- [c3]Ruyun Ruan, Shoujin Huang, Liyilei Su, Rashid Khan, Bingding Huang:
Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods. AAIA 2023: 223-228 - [i1]Liyilei Su, Xumin Zuo, Rui Li, Xin Wang, Heng Zhao, Bingding Huang:
A Systematic Review for Transformer-based Long-term Series Forecasting. CoRR abs/2310.20218 (2023) - 2022
- [c2]Chuda Xiao, Zhuo Chen, Haoyu Li, Dan Li, Rashid Khan, Jinyu Tian, Weiguo Xie, Liyilei Su:
Semi-supervised 3D U-Net Learning Based on Meta Pseudo Labels. FLARE@MICCAI 2022: 214-222 - 2021
- [j2]Liyilei Su, Xianjun Fu, Qingmao Hu:
Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment. Comput. Methods Programs Biomed. 212: 106456 (2021) - [c1]Liyilei Su, Xianjun Fu, Qingmao Hu:
A convolutional generative adversarial framework for data augmentation based on a robust optimal transport metric. HPCC/DSS/SmartCity/DependSys 2021: 1155-1162
2010 – 2019
- 2018
- [j1]Liyilei Su, Xianjun Fu, Xiaodong Zhang, Xiaoguang Cheng, Yimin Ma, Yungen Gan, Qingmao Hu:
Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations. IEEE Access 6: 19993-20008 (2018)
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