Generative adversarial network-based sinogram super-resolution for computed tomography imaging

Research article (Physics in Medicine and Biology, 2020) · cited 25× · AI/ML
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Generative adversarial network-based sinogram super-resolution for computed tomography imaging

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Generative adversarial network-based sinogram super-resolution for computed tomography imaging is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generative adversarial network-based sinogram super-resolution for computed tomography imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-adversarial-network-based-sinogram-super-resolution-for-computed-tomography-imaging
MLA “Generative adversarial network-based sinogram super-resolution for computed tomography imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-adversarial-network-based-sinogram-super-resolution-for-computed-tomography-imaging.
BibTeX @misc{4ortxyz_generative-adversarial-network-based-sinogram-super-resolution-for-computed-tomography-imaging_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative adversarial network-based sinogram super-resolution for computed tomography imaging}}, year = {2026}, url = {https://4ort.xyz/entity/generative-adversarial-network-based-sinogram-super-resolution-for-computed-tomography-imaging}, note = {Accessed: 2026-05-24}}
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