| Efficient skin lesion segmentation using separable-Unet with stochastic weight averaging P Tang, Q Liang, X Yan, S Xiang, W Sun, D Zhang, G Coppola Computer methods and programs in biomedicine 178, 289-301, 2019 | 149 | 2019 |
| GP-CNN-DTEL: Global-part CNN model with data-transformed ensemble learning for skin lesion classification P Tang, Q Liang, X Yan, S Xiang, D Zhang IEEE journal of biomedical and health informatics 24 (10), 2870-2882, 2020 | 106 | 2020 |
| FusionM4Net: A multi-stage multi-modal learning algorithm for multi-label skin lesion classification P Tang, X Yan, Y Nan, S Xiang, S Krammer, T Lasser Medical Image Analysis 76, 102307, 2022 | 53 | 2022 |
| Multi-proportion channel ensemble model for retinal vessel segmentation P Tang, Q Liang, X Yan, D Zhang, G Coppola, W Sun Computers in biology and medicine 111, 103352, 2019 | 35 | 2019 |
| AFLN-DGCL: Adaptive feature learning network with difficulty-guided curriculum learning for skin lesion segmentation P Tang, X Yan, Q Liang, D Zhang Applied Soft Computing 110, 107656, 2021 | 29 | 2021 |
| Feature pyramid nonlocal network with transform modal ensemble learning for breast tumor segmentation in ultrasound images P Tang, X Yang, Y Nan, S Xiang, Q Liang IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68 …, 2021 | 24 | 2021 |
| Joint-Individual Fusion Structure with Fusion Attention Module for Multi-Modal Skin Cancer Classification P Tang, X Yan, Y Nan, X Hu, BHM Krammer, T Lasser arXiv preprint arXiv:2312.04189, 2023 | | 2023 |
