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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Article
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

Internet

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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