Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset

Research article (European Radiology, 2023) · cited 13× · AI/ML
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Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset

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Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset is a scholarly article[1].

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  • Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset. Retrieved May 24, 2026, from https://4ort.xyz/entity/synthetic-t2-weighted-fat-sat-based-on-a-generative-adversarial-network-shows-potential-for-scan-time-reduction-in-spine
MLA “Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/synthetic-t2-weighted-fat-sat-based-on-a-generative-adversarial-network-shows-potential-for-scan-time-reduction-in-spine.
BibTeX @misc{4ortxyz_synthetic-t2-weighted-fat-sat-based-on-a-generative-adversarial-network-shows-potential-for-scan-time-reduction-in-spine_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Synthetic T2-weighted fat sat based on a generative adversarial network shows potential for scan time reduction in spine imaging in a multicenter test dataset}}, year = {2026}, url = {https://4ort.xyz/entity/synthetic-t2-weighted-fat-sat-based-on-a-generative-adversarial-network-shows-potential-for-scan-time-reduction-in-spine}, note = {Accessed: 2026-05-24}}
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