Funder
Natural Science Foundation of Tianjin Municipality
National Key Research and Development Program of China
Subject
Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Reference47 articles.
1. Automatic correction of motion artifacts in magnetic resonance images using an entropy focus criterion;Atkinson;IEEE Trans. Med. Imaging,1997
2. S. Bell-Kligler, A. Shocher, M. Irani, Blind Super-Resolution Kernel Estimation using an Internal-GAN.” arXiv, Jan. 07, 2020. Accessed: Jul. 20, 2022. [Online]. Available: http://arxiv.org/abs/1909.06581.
3. Two-stage multi-modal MR images fusion method based on Parametric Logarithmic Image Processing (PLIP) Model;Bhateja;Pattern Recognit. Lett.,2020
4. J. Chen, J. Chen, H. Chao, and M. Yang, Image Blind Denoising with Generative Adversarial Network Based Noise Modeling, in 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Salt Lake City, UT: IEEE, Jun. 2018, pp. 3155–3164. doi: 10.1109/CVPR.2018.00333.
5. MR image denoising and super-resolution using regularized reverse diffusion;Chung;IEEE Trans. Med. Imaging,2023
Cited by
3 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