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A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images
Research article (IEEE Transactions on Medical Imaging, 2019) · cited 57× · AI/ML
A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images
Summary
A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images is a scholarly article[1].
Key Facts
A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-universal-intensity-standardization-method-based-on-a-many-to-one-weak-paired-cycle-generative-adversarial-network-for
MLA“A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-universal-intensity-standardization-method-based-on-a-many-to-one-weak-paired-cycle-generative-adversarial-network-for.
BibTeX@misc{4ortxyz_a-universal-intensity-standardization-method-based-on-a-many-to-one-weak-paired-cycle-generative-adversarial-network-for_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images}}, year = {2026}, url = {https://4ort.xyz/entity/a-universal-intensity-standardization-method-based-on-a-many-to-one-weak-paired-cycle-generative-adversarial-network-for}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Universal Intensity Standardization Method Based on a Many-to-One Weak-Paired Cycle Generative Adversarial Network for Magnetic Resonance Images — https://4ort.xyz/entity/a-universal-intensity-standardization-method-based-on-a-many-to-one-weak-paired-cycle-generative-adversarial-network-for (retrieved 2026-05-24)
