Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples-Reference-Cited by-同舟云学术

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Unsupervised super-resolution: creating high-resolution medical images from low-resolution anisotropic examples

Published:2021-02-15 Issue: Volume: Page:
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Container-title:Medical Imaging 2021: Image Processing
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Author:

Sander Jörg,de Vos Bob D.,Išgum Ivana

Publisher

SPIE

Cited by 13 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

1. C2 LOG-GAN: Concave convex and local global attention based generative adversarial network for super resolution MRI reconstruction;Biomedical Signal Processing and Control;2024-10

2. Pushing the limits of zero-shot self-supervised super-resolution of anisotropic MR images;Medical Imaging 2024: Image Processing;2024-04-02

3. Self-supervised super-resolution of 2-D pre-clinical MRI acquisitions;Medical Imaging 2024: Clinical and Biomedical Imaging;2024-04-02

4. Medical image super-resolution for smart healthcare applications: A comprehensive survey;Information Fusion;2024-03

5. PIDNET: Polar Transformation Based Implicit Disentanglement Network for Truncation Artifacts;Entropy;2024-01-24

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