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Liyilei Su

A systematic review for transformer-based long-term series forecasting
2025 · Liyilei Su, Xumin Zuo, et al. · Artificial Intelligence Review · 252
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Deep Segmentation Networks for Segmenting Kidneys and Detecting Kidney Stones in Unenhanced Abdominal CT Images
2022 · Dan Li, Chuda Xiao, et al. · Diagnostics · 94
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Generative adversarial network based data augmentation and gender-last training strategy with application to bone age assessment
2021 · Liyilei Su, Xianjun Fu, et al. · Computer Methods and Programs in Biomedicine · 27
Delineation of Carpal Bones From Hand X-Ray Images Through Prior Model, and Integration of Region-Based and Boundary-Based Segmentations
2018 · Liyilei Su, Xianjun Fu, et al. · IEEE Access · 26
RenalSegNet: automated segmentation of renal tumor, veins, and arteries in contrast-enhanced CT scans
2025 · Rashid Khan, Chao Chen, et al. · Complex & Intelligent Systems · 22
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Optical navigation robot-assisted puncture system for accurate lung nodule biopsy: an animal study
2023 · Jing Li, Liyilei Su, et al. · Quantitative Imaging in Medicine and Surgery · 16
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Customized m-RCNN and hybrid deep classifier for liver cancer segmentation and classification
2024 · Rashid Khan, Liyilei Su, et al. · Heliyon · 15
MLAU-Net: Deep supervised attention and hybrid loss strategies for enhanced segmentation of low-resolution kidney ultrasound
2024 · Rashid Khan, Asim Zaman, et al. · Digital Health · 9
ITCFN: Incomplete Triple-Modal Co-Attention Fusion Network for Mild Cognitive Impairment Conversion Prediction
2025 · Xiangyang Hu, Xiangyu Shen, et al. · IEEE International Symposium on Biomedical Imaging (ISBI) · 7
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Transformative Deep Neural Network Approaches in Kidney Ultrasound Segmentation: Empirical Validation with an Annotated Dataset
2024 · Rashid Khan, Chuda Xiao, et al. · Interdisciplinary Sciences Computational Life Sciences · 5
Label-efficient multi-organ segmentation with a diffusion model
2024 · Huang, Yongzhi, Xi, Fengjun, et al. · arXiv (Cornell University) · 5
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Bridging the Gap: A Fusion of CNN and Transformer Models for Real-Time Object Detection
2023 · Yuanke Pan, Chengmin Zhou, et al. · IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC) · 4
Enhancing Early Detection of Tractional Retinal Lesions in OCT via Self-Supervised Learning
2025 · Wei Zhang, Yu Lu, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · 1
Deep learning to predict respiratory lung-tissue displacement from multi-phase pulmonary computed tomography images
2023 · Chengmin Zhou, Liyilei Su, et al. · Biomedical Signal Processing and Control · 1
Semi-supervised 3D U-Net Learning Based on Meta Pseudo Labels
2022 · Chuda Xiao, Zhuo Chen, et al. · Lecture notes in computer science · 1
A convolutional generative adversarial framework for data augmentation based on a robust optimal transport metric
2021 · Liyilei Su, Xianjun Fu, et al. · IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS) · 1
UMC-FM: Uncertainty-Guided Mamba-Consistent Feature Mixing for Semi-supervised Pulmonary Vessel Segmentation
2026 · Zhiqing Liang, Faizan Ahmad, et al. · Lecture notes in computer science
SegSAM-3D: Integrating Semantic Point Prompts and Multi-Layer Feature Sampling in SAM for Medical Imaging Segmentation
2025 · Jiayi Wu, Rashid Khan, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Diffusion-Based Pre-Training for Label-Efficient Abdominal Multi-Organ Segmentation
2025 · Yongzhi Huang, Jinxin Zhu, et al. · IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
ITR-Net: A Hybrid Deep Learning Architecture for Precise and Efficient Medical Image Registration
2023 · Yan Yan, Liyilei Su, et al. · IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC)
Predicting Microsatellite Instability from Pathological Images Using Self-Supervised Learning Methods
2023 · Ruyun Ruan, Shoujin Huang, et al. · International Conference on Advances in Artificial Intelligence and Applications (AAIA)
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Works count: 21
Citation count: 486
H-index: 8
I10-index: 7
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