ArticleFrontiers in neuroimaging2023
Generating dynamic carbon-dioxide traces from respiration-belt recordings: Feasibility using neural networks and application in functional magnetic resonance imaging.
Article in Frontiers in neuroimaging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Predicting Breath Hold Task Compliance From Head Motion.Journal of magnetic resonance imaging : JMRI · 2026Article
- Quantitative mapping of cerebrovascular reactivity amplitude and delay with breath-hold BOLD fMRI when end-tidal COImaging neuroscience (Cambridge, Mass.) · 2025Article
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Authors and funding
3 authors.
Funding
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Abstract
Introduction: In the context of functional magnetic resonance imaging (fMRI), carbon dioxide (CO Methods: In this proof-of-concept study, we propose a deep-learning (DL) approach to reconstruct CO2 and PETCO2 data from respiration waveforms in the resting state. Results: We demonstrate that the one-to-one mapping between respiration and CO Discussion: Our results demonstrate that dynamic CO
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