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FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images
Research article (NeuroImage Clinical, 2019) · cited 13× · AI/ML
FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images
Summary
FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images is a scholarly article[1].
Key Facts
FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images'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). FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images. Retrieved May 24, 2026, from https://4ort.xyz/entity/flair2-improves-lesiontoads-automatic-segmentation-of-multiple-sclerosis-lesions-in-non-homogenized-multi-center-2d-clin
MLA“FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/flair2-improves-lesiontoads-automatic-segmentation-of-multiple-sclerosis-lesions-in-non-homogenized-multi-center-2d-clin.
BibTeX@misc{4ortxyz_flair2-improves-lesiontoads-automatic-segmentation-of-multiple-sclerosis-lesions-in-non-homogenized-multi-center-2d-clin_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images}}, year = {2026}, url = {https://4ort.xyz/entity/flair2-improves-lesiontoads-automatic-segmentation-of-multiple-sclerosis-lesions-in-non-homogenized-multi-center-2d-clin}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FLAIR2 improves LesionTOADS automatic segmentation of multiple sclerosis lesions in non-homogenized, multi-center, 2D clinical magnetic resonance images — https://4ort.xyz/entity/flair2-improves-lesiontoads-automatic-segmentation-of-multiple-sclerosis-lesions-in-non-homogenized-multi-center-2d-clin (retrieved 2026-05-24)
