Author:
Abdullah Abdullah,Holler Martin,Kunisch Karl,Landman Malena Sabate
Publisher
Springer International Publishing
Reference21 articles.
1. Abdullah, A., Holler, M., Kunisch, K., Landman, M.S.: Source code for: latent-space disentanglement with untrained generator networks for the isolation of different motion types in video data (2023). https://github.com/hollerm/generator_based_motion_isolation
2. Bustin, A., Fuin, N., Botnar, R.M., Prieto, C.: From compressed-sensing to artificial intelligence-based cardiac MRI reconstruction. Front. Cardiovasc. Med. 7, 17 (2020). https://doi.org/10.3389/fcvm.2020.00017
3. Chen, X., Duan, Y., Houthooft, R., Schulman, J., Sutskever, I., Abbeel, P.: InfoGAN: interpretable representation learning by information maximizing generative adversarial nets. In: Advances in Neural Information Processing Systems, vol. 29 (2016)
4. Fortun, D., Bouthemy, P., Kervrann, C.: Optical flow modeling and computation: a survey. Comput. Vis. Image Underst. 134, 1–21 (2015). https://doi.org/10.1016/j.cviu.2015.02.008
5. Fu, Y., Lei, Y., Wang, T., Curran, W.J., Liu, T., Yang, X.: Deep learning in medical image registration: a review. Phys. Med. Biol. 65(20), 20TR01 (2020). https://doi.org/10.1088/1361-6560/ab843e
Cited by
2 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