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FID-Net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling
In recent years, the transformative potential of deep neural networks (DNNs) for analysing and interpreting NMR data has clearly been recognised. However, most applications of DNNs in NMR to date either struggle to outperform existing methodologies or are limited in scope to a narrow range of data t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Netherlands
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8131344/ https://www.ncbi.nlm.nih.gov/pubmed/33870472 http://dx.doi.org/10.1007/s10858-021-00366-w |