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Application of a (1)H Brain MRS Benchmark Dataset to Deep Learning for Out-of-Voxel Artifacts
Neural networks are potentially valuable for many of the challenges associated with MRS data. The purpose of this manuscript is to describe the AGNOSTIC dataset, which contains 259,200 synthetic (1)H MRS examples for training and testing neural networks. AGNOSTIC was created using 270 basis sets tha...
Autores principales: | Gudmundson, Aaron T., Davies-Jenkins, Christopher W., Özdemir, İpek, Murali-Manohar, Saipavitra, Zöllner, Helge J., Song, Yulu, Hupfeld, Kathleen E., Schnitzler, Alfons, Oeltzschner, Georg, Stark, Craig E. L., Edden, Richard A. E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10197548/ https://www.ncbi.nlm.nih.gov/pubmed/37215030 http://dx.doi.org/10.1101/2023.05.08.539813 |
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