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Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography
Research article (Neural Computing and Applications, 2021) · cited 33× · AI/ML
Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography
Summary
Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography is a scholarly article[1].
Key Facts
Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-meg-spatiotemporal-cnn-features-and-multiband-ensemble-classification-for-predicting-the-early-signs-of-alzheimers-
MLA“Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-meg-spatiotemporal-cnn-features-and-multiband-ensemble-classification-for-predicting-the-early-signs-of-alzheimers-.
BibTeX@misc{4ortxyz_deep-meg-spatiotemporal-cnn-features-and-multiband-ensemble-classification-for-predicting-the-early-signs-of-alzheimers-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography}}, year = {2026}, url = {https://4ort.xyz/entity/deep-meg-spatiotemporal-cnn-features-and-multiband-ensemble-classification-for-predicting-the-early-signs-of-alzheimers-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep-MEG: spatiotemporal CNN features and multiband ensemble classification for predicting the early signs of Alzheimer’s disease with magnetoencephalography — https://4ort.xyz/entity/deep-meg-spatiotemporal-cnn-features-and-multiband-ensemble-classification-for-predicting-the-early-signs-of-alzheimers- (retrieved 2026-05-24)
