Funder
Fundamental Research Funds for the Central Universities
Publisher
Springer Science and Business Media LLC
Reference90 articles.
1. Zhou, H.-Y., J. Guo, Y. Zhang, L. Yu, L. Wang, and Yu, Y. nnFormer: interleaved transformer for volumetric segmentation, 2021. arXiv preprint arXiv:2109.03201.
2. Zhang, Y., N. He, J. Yang, Y. Li, D. Wei, Y. Huang, Y. Zhang, Z. He, and Y. Zheng. mmFormer: multimodal medical transformer for incomplete multimodal learning of brain tumor segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, 2022. Springer, 2022, pp. 107–117.
3. Cai, S., C. Shen, and X. Wang. Energy-based MRI semantic augmented segmentation for unpaired CT images. Electronics. 12(10):2174, 2023.
4. Su, R., J. Liu, D. Zhang, C. Cheng, and M. Ye. Multimodal glioma image segmentation using dual encoder structure and channel spatial attention block. Front. Neurosci.14:586197, 2020.
5. Qu, L., S. Liu, M. Wang, and Z. Song. TransMEF: a transformer-based multi-exposure image fusion framework using self-supervised multi-task learning. In: Proceedings of the AAAI Conference on Artificial Intelligence, 2022, vol. 36, pp. 2126–2134.