MMNet: a medical image-to-image translation network based on manifold-value correction and manifold matching
Author:
Funder
National Natural Science Foundation of China
the Chongqing Talent Plan
Chongqing Graduate Research Innovation Project of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08685-9.pdf
Reference46 articles.
1. Chen X, Jia C (2021) An overview of image-to-image translation using generative adversarial networks. In: International conference on pattern recognition (ICPR). Springer, Cham, pp 366–380. https://doi.org/10.1007/978-3-030-68780-9_31
2. Zhu J-Y, Park T, Isola P, Efros AA (2017) Unpaired image-to-image translation using cycle-consistent adversarial networks. In: Proceedings of the IEEE international conference on computer vision (ICCV), pp 2242–2251. https://doi.org/10.1109/ICCV.2017.244
3. Park T, Efros AA, Zhang R, Zhu J-Y. Contrastive learning for unpaired image-to-image translation. In: European conference on computer vision (ECCV). Springer, Cham, pp 319–345. https://doi.org/10.1007/978-3-030-58545-7_19
4. Choi Y, Uh Y, Yoo J, Ha J-W (2020) StarGAN v2: diverse image synthesis for multiple domains. In: Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR), pp 8185–8194. https://doi.org/10.1109/CVPR42600.2020.00821
5. Yuxin D, Longfei W (2022) Multidomain image-to-image translation model based on hidden space sharing. Neural Comput Appl 34(1):283–298. https://doi.org/10.1007/s00521-021-06386-9
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