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MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients
Research article (Computers in Biology and Medicine, 2021) · cited 18× · AI/ML
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients
Summary
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients is a scholarly article[1].
Key Facts
MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients. Retrieved May 24, 2026, from https://4ort.xyz/entity/mprage-to-mp2rage-uni-translation-via-generative-adversarial-network-improves-the-automatic-tissue-and-lesion-segmentati
MLA“MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mprage-to-mp2rage-uni-translation-via-generative-adversarial-network-improves-the-automatic-tissue-and-lesion-segmentati.
BibTeX@misc{4ortxyz_mprage-to-mp2rage-uni-translation-via-generative-adversarial-network-improves-the-automatic-tissue-and-lesion-segmentati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients}}, year = {2026}, url = {https://4ort.xyz/entity/mprage-to-mp2rage-uni-translation-via-generative-adversarial-network-improves-the-automatic-tissue-and-lesion-segmentati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MPRAGE to MP2RAGE UNI translation via generative adversarial network improves the automatic tissue and lesion segmentation in multiple sclerosis patients — https://4ort.xyz/entity/mprage-to-mp2rage-uni-translation-via-generative-adversarial-network-improves-the-automatic-tissue-and-lesion-segmentati (retrieved 2026-05-24)
