| Multi-step cascaded networks for brain tumor segmentation X Li, G Luo, K Wang Medical Image Computing and Computer Assisted Intervention– MICCAI 2019 …, 2020 | 76 | 2020 |
| Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation X Li, G Luo, W Wang, K Wang, Y Gao, S Li IEEE Journal of Biomedical and Health Informatics 26 (3), 1140-1151, 2021 | 17 | 2021 |
| The state-of-the-art 3D anisotropic intracranial hemorrhage segmentation on non-contrast head CT: The INSTANCE challenge X Li, G Luo, K Wang, H Wang, J Liu, X Liang, J Jiang, Z Song, C Zheng, ... arXiv preprint arXiv:2301.03281, 2023 | 11 | 2023 |
| ULTRA: Uncertainty-Aware Label Distribution Learning for Breast Tumor Cellularity Assessment X Li, X Liang, G Luo, W Wang, K Wang, S Li Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 …, 2022 | 6 | 2022 |
| Efficient automatic segmentation for multi-level pulmonary arteries: The PARSE challenge G Luo, K Wang, J Liu, S Li, X Liang, X Li, S Gan, W Wang, S Dong, ... arXiv preprint arXiv:2304.03708, 2023 | 5 | 2023 |
| Curriculum label distribution learning for imbalanced medical image segmentation X Li, G Luo, W Wang, K Wang, S Li Medical Image Analysis 89, 102911, 2023 | 2 | 2023 |
| Synergistically Learning Class-specific Tokens for Multi-class Whole Slide Image Classification P Sun, W Wang, X Li, S Dong, S Li, K Wang, G Luo 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| Ambiguity-aware breast tumor cellularity estimation via self-ensemble label distribution learning X Li, X Liang, G Luo, W Wang, K Wang, S Li Medical Image Analysis 90, 102944, 2023 | | 2023 |
Wang KuanquanHarbin Institute of TechnologyVerified email at hit.edu.cn
