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Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases
Research article (NeuroImage Clinical, 2017) · cited 68× · AI/ML
Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases
Summary
Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases is a scholarly article[1].
Key Facts
Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases. Retrieved May 24, 2026, from https://4ort.xyz/entity/selecting-the-most-relevant-brain-regions-to-discriminate-alzheimer-s-disease-patients-from-healthy-controls-using-multi
MLA“Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/selecting-the-most-relevant-brain-regions-to-discriminate-alzheimer-s-disease-patients-from-healthy-controls-using-multi.
BibTeX@misc{4ortxyz_selecting-the-most-relevant-brain-regions-to-discriminate-alzheimer-s-disease-patients-from-healthy-controls-using-multi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases}}, year = {2026}, url = {https://4ort.xyz/entity/selecting-the-most-relevant-brain-regions-to-discriminate-alzheimer-s-disease-patients-from-healthy-controls-using-multi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Selecting the most relevant brain regions to discriminate Alzheimer's disease patients from healthy controls using multiple kernel learning: A comparison across functional and structural imaging modalities and atlases — https://4ort.xyz/entity/selecting-the-most-relevant-brain-regions-to-discriminate-alzheimer-s-disease-patients-from-healthy-controls-using-multi (retrieved 2026-05-24)