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A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS
Research article (Journal of Neural Engineering, 2022) · cited 17× · AI/ML
A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS
Summary
A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS is a scholarly article[1].
Key Facts
A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS'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). A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-estimating-hemodynamic-response-function-with-reduction-of-motion-artifacts-in-f
MLA“A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-estimating-hemodynamic-response-function-with-reduction-of-motion-artifacts-in-f.
BibTeX@misc{4ortxyz_a-deep-convolutional-neural-network-for-estimating-hemodynamic-response-function-with-reduction-of-motion-artifacts-in-f_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-estimating-hemodynamic-response-function-with-reduction-of-motion-artifacts-in-f}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A deep convolutional neural network for estimating hemodynamic response function with reduction of motion artifacts in fNIRS — https://4ort.xyz/entity/a-deep-convolutional-neural-network-for-estimating-hemodynamic-response-function-with-reduction-of-motion-artifacts-in-f (retrieved 2026-05-24)
