Author:
Remedios Samuel W.,Han Shuo,Dewey Blake E.,Pham Dzung L.,Prince Jerry L.,Carass Aaron
Publisher
Springer International Publishing
Reference23 articles.
1. American College of Radiology: American College of Radiology magnetic resonance imaging accreditation program: Phantom test guidance for use of the large MRI phantom for the ACR MRI accreditation program, p. 16 (2018)
2. Chaudhari, A.S., et al.: Super-resolution musculoskeletal MRI using deep learning. Magn. Reson. Med. 80(5), 2139–2154 (2018)
3. Chen, Y., Xie, Y., Zhou, Z., Shi, F., Christodoulou, A.G., Li, D.: Brain MRI super resolution using 3D deep densely connected neural networks. In: 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), pp. 739–742 (2018)
4. Chen, Y., Liu, S., Wang, X.: Learning continuous image representation with local implicit image function. arXiv preprint arXiv:2012.09161 (2020)
5. Delannoy, Q., et al.: SegSRGAN: super-resolution and segmentation using generative adversarial networks - application to neonatal brain MRI. Computers in Biology and Medicine 120, 103755 (2020)
Cited by
5 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