Author:
Han Luyi,Huang Yunzhi,Tan Tao,Mann Ritse
Publisher
Springer Nature Switzerland
Reference19 articles.
1. Bachman, P., Hjelm, R.D., Buchwalter, W.: Learning representations by maximizing mutual information across views. In: Advances in Neural Information Processing Systems 32 (2019)
2. Cardoso, M.J., et al.: Geodesic information flows: spatially-variant graphs and their application to segmentation and fusion. IEEE Trans. Med. Imaging 34(9), 1976–1988 (2015)
3. Chen, R., Huang, W., Huang, B., Sun, F., Fang, B.: Reusing discriminators for encoding: towards unsupervised image-to-image translation. In: Proceedings of the IEEE/CVF Conference on Computer Vision And Pattern Recognition, pp. 8168–8177 (2020)
4. Chen, T., Kornblith, S., Norouzi, M., Hinton, G.: A simple framework for contrastive learning of visual representations. In: International Conference on Machine Learning, pp. 1597–1607. PMLR (2020)
5. Choi, J.W.: Using out-of-the-box frameworks for contrastive unpaired image translation for vestibular schwannoma and cochlea segmentation: an approach for the crossmoda challenge. In: Crimi, A., Bakas, S. (eds.) Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries: 7th International Workshop, BrainLes 2021, Held in Conjunction with MICCAI 2021, Virtual Event, September 27, 2021, Revised Selected Papers, Part II, pp. 509–517. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-09002-8_44