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Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias
Research article (Magnetic Resonance in Medicine, 2022) · cited 24× · AI/ML
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias
Summary
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias is a scholarly article[1].
Key Facts
Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantification-of-mr-spectra-by-deep-learning-in-an-idealized-setting-investigation-of-forms-of-input-network-architectu
MLA“Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantification-of-mr-spectra-by-deep-learning-in-an-idealized-setting-investigation-of-forms-of-input-network-architectu.
BibTeX@misc{4ortxyz_quantification-of-mr-spectra-by-deep-learning-in-an-idealized-setting-investigation-of-forms-of-input-network-architectu_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias}}, year = {2026}, url = {https://4ort.xyz/entity/quantification-of-mr-spectra-by-deep-learning-in-an-idealized-setting-investigation-of-forms-of-input-network-architectu}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantification of MR spectra by deep learning in an idealized setting: Investigation of forms of input, network architectures, optimization by ensembles of networks, and training bias — https://4ort.xyz/entity/quantification-of-mr-spectra-by-deep-learning-in-an-idealized-setting-investigation-of-forms-of-input-network-architectu (retrieved 2026-05-24)