Author:
Sun Xiaoyi,Liu Zhizhe,Zheng Shuai,Lin Chen,Zhu Zhenfeng,Zhao Yao
Publisher
Springer Nature Switzerland
Reference25 articles.
1. Bercea, C.I., Wiestler, B., Rueckert, D., Albarqouni, S.: Feddis: disentangled federated learning for unsupervised brain pathology segmentation. arXiv preprint arXiv:2103.03705 (2021)
2. Chen, C., Dou, Q., Chen, H., Qin, J., Heng, P.A.: Synergistic image and feature adaptation: towards cross-modality domain adaptation for medical image segmentation. In: Proceedings of AAAI, vol. 33, pp. 865–872 (2019)
3. Chen, C., Dou, Q., Chen, H., Qin, J., Heng, P.A.: Unsupervised bidirectional cross-modality adaptation via deeply synergistic image and feature alignment for medical image segmentation. IEEE TMI 39(7), 2494–2505 (2020)
4. Chen, X., et al.: Diverse data augmentation for learning image segmentation with cross-modality annotations. MedIA 71, 102060 (2021)
5. Dou, Q., Ouyang, C., Chen, C., Chen, H., Heng, P.A.: Unsupervised cross-modality domain adaptation of convnets for biomedical image segmentations with adversarial loss. In: IJCAI, pp. 691–697 (2018)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献