Author:
Pawar Mahesh,Kakde Sandeep,Yadav Prashant Mani
Publisher
Springer International Publishing
Reference18 articles.
1. Mardani, M., Gong, E., Cheng, J.Y., Vasanawala, S., Zaharchuk, G., Alley, M., Thakur, N., Han, S., Dally, W., Pauly, J.M., Xing, L.: Deep generative adversarial networks for compressed sensing automates MRI. arXiv Prepr (2017)
2. Oktay, O., Bai, W., Lee, M., Guerrero, R., Kamnitsas, K., Caballero, J., de Marvao, A., Cook, S., O’Regan, D., Rueckert, D.: Multi-input cardiac image super-resolution using convolutional neural networks. In: Medical Image Computing and Computer-Assisted Intervention (2016)
3. Pham, C.H., Ducournau, A., Fablet, R., Rousseau, F.: Brain MRI super-resolution using deep 3D convolutional networks. In: 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017) (2017)
4. Ledig, C., Theis, L., Huszar, F., Caballero, J., et al.: Photo-realistic single image super-resolution using a generative adversarial network. Preprint at
arXiv:1609.04802
[cs.CV] (2016)
5. Jia, Y., Gholipour, A., He, Z., Warfield, S.K.: A new sparse representation framework for reconstruction of an isotropic high spatial resolution mr volume from orthogonal anisotropic resolution scans. IEEE Trans. Med. Imaging 36(5), 1182–1193 (2017)
Cited by
1 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