A Multi-Feature Fusion Based on Transfer Learning for Chicken Embryo Eggs Classification. - Lvwen Huang; Along He; Mengqun Zhai; Yuxi Wang; Ruige Bai; Xiaolin Nie (Symmetry, 2019)

CABNet: Category Attention Block for Imbalanced Diabetic Retinopathy Grading. - Along He; Tao Li 022; Ning Li; Kai Wang 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2021)

Progressive Multi-scale Consistent Network for Multi-class Fundus Lesion Segmentation. - Along He; Kai Wang 001; Tao Li 022; Wang Bo; Hong Kang; Huazhu Fu (CoRR, 2022)

Progressive Multiscale Consistent Network for Multiclass Fundus Lesion Segmentation. - Along He; Kai Wang 001; Tao Li 022; Wang Bo; Hong Kang; Huazhu Fu (IEEE Trans. Medical Imaging, 2022)

DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis. - Along He; Kai Wang 001; Zhihong Wang; Tao Li 022; Huazhu Fu (CoRR, 2023)

Resfusion: Prior Residual Noise embedded Denoising Diffusion Probabilistic Models. - Zhenning Shi; Changsheng Dong; Bin Pan; Xueshuo Xie; Along He; Qiaoying Qu; Tao Li 002 (CoRR, 2023)

ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning. - Zhenning Shi; Changsheng Dong; Xueshuo Xie; Bin Pan; Along He; Li Tao (CoRR, 2023)

H2Former: An Efficient Hierarchical Hybrid Transformer for Medical Image Segmentation. - Along He; Kai Wang 001; Tao Li 022; Chengkun Du; Shuang Xia; Huazhu Fu (IEEE Trans. Medical Imaging, 2023)

Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation. - Zhenhuan Zhou; Along He; Yanlin Wu; Rui Yao; Xueshuo Xie; Tao Li 022 (BIBM, 2024)

FRCNet: Frequency and Region Consistency for Semi-supervised Medical Image Segmentation. - Along He; Tao Li 022; Yanlin Wu; Ke Zou; Huazhu Fu (MICCAI (8), 2024)

Open-Set Semi-supervised Medical Image Classification with Learnable Prototypes and Outlier Filter. - Along He; Tao Li 022; Yitian Zhao; Junyong Zhao; Huazhu Fu (MICCAI (11), 2024)

Resfusion: Denoising Diffusion Probabilistic Models for Image Restoration Based on Prior Residual Noise. - Zhenning Shi; Haoshuai Zheng; Chen Xu; Changsheng Dong; Bin Pan; Xueshuo Xie; Along He; Tao Li 002; Huazhu Fu (NeurIPS, 2024)

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation. - Zhenhuan Zhou; Along He; Yanlin Wu; Rui Yao; Xueshuo Xie; Tao Li 022 (CoRR, 2024)

TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation. - Yanlin Wu; Tao Li 022; Zhihong Wang; Hong Kang; Along He (CoRR, 2024)

Bilateral Supervision Network for Semi-Supervised Medical Image Segmentation. - Along He; Tao Li 022; Juncheng Yan; Kai Wang 001; Huazhu Fu (IEEE Trans. Medical Imaging, 2024)

NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation. - Zhenhuan Zhou; Yuzhu Chen; Along He; Xitao Que; Kai Wang 001; Rui Yao; Tao Li 022 (IEEE J. Biomed. Health Informatics, 2024)

Trans-SAM: Transfer Segment Anything Model to medical image segmentation with Parameter-Efficient Fine-Tuning. - Yanlin Wu; Zhihong Wang; Xiongfeng Yang; Hong Kang; Along He; Tao Li 022 (Knowl. Based Syst., 2025)

AdaptFRCNet: Semi-supervised adaptation of pre-trained model with frequency and region consistency for medical image segmentation. - Along He; Yanlin Wu; Zhihong Wang; Tao Li 022; Huazhu Fu (Medical Image Anal., 2025)

DVPT: Dynamic Visual Prompt Tuning of large pre-trained models for medical image analysis. - Along He; Yanlin Wu; Zhihong Wang; Tao Li 022; Huazhu Fu (Neural Networks, 2025)

Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation. - Zhenhuan Zhou; Yuchen Zhang; Along He; Peng Wang; Xueshuo Xie; Tao Li (CoRR, 2025)

GEMeX-ThinkVG: Towards Thinking with Visual Grounding in Medical VQA via Reinforcement Learning. - Bo Liu; Xiangyu Zhao; Along He; Yidi Chen; Huazhu Fu; Xiao-Ming Wu (CoRR, 2025)