| CABNet: Category attention block for imbalanced diabetic retinopathy grading A He, T Li, N Li, K Wang, H Fu IEEE Transactions on Medical Imaging 40 (1), 143-153, 2020 | 231 | 2020 |
| H2Former: An efficient hierarchical hybrid transformer for medical image segmentation A He, K Wang, T Li, C Du, S Xia, H Fu IEEE Transactions on Medical Imaging 42 (9), 2763-2775, 2023 | 45 | 2023 |
| A multi-feature fusion based on transfer learning for chicken embryo eggs classification L Huang, A He, M Zhai, Y Wang, R Bai, X Nie Symmetry 11 (5), 606, 2019 | 31 | 2019 |
| Progressive multiscale consistent network for multiclass fundus lesion segmentation A He, K Wang, T Li, W Bo, H Kang, H Fu IEEE transactions on medical imaging 41 (11), 3146-3157, 2022 | 20 | 2022 |
| NKUT: Dataset and Benchmark for Pediatric Mandibular Wisdom Teeth Segmentation Z Zhou, Y Chen, A He, X Que, K Wang, R Yao, T Li IEEE Journal of Biomedical and Health Informatics, 2024 | 1 | 2024 |
| DVPT: Dynamic Visual Prompt Tuning of Large Pre-trained Models for Medical Image Analysis A He, K Wang, Z Wang, T Li, H Fu arXiv preprint arXiv:2307.09787, 2023 | 1 | 2023 |
| Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation Z Zhou, A He, Y Wu, R Yao, X Xie, T Li arXiv preprint arXiv:2406.07952, 2024 | | 2024 |
| FRCNet Frequency and Region Consistency for Semi-supervised Medical Image Segmentation A He, T Li, Y Wu, K Zou, H Fu arXiv preprint arXiv:2405.16573, 2024 | | 2024 |
| Bilateral Supervision Network for Semi-supervised Medical Image Segmentation A He, T Li, J Yan, K Wang, H Fu IEEE Transactions on Medical Imaging, 2023 | | 2023 |
| ResEnsemble-DDPM: Residual Denoising Diffusion Probabilistic Models for Ensemble Learning S Zhenning, D Changsheng, X Xueshuo, P Bin, H Along, L Tao arXiv preprint arXiv:2312.01682, 2023 | | 2023 |
| Resfusion: Prior Residual Noise embedded Denoising Diffusion Probabilistic Models S Zhenning, D Changsheng, P Bin, X Xueshuo, H Along, Q Qiaoying, ... arXiv preprint arXiv:2311.14900, 2023 | | 2023 |
