Your browser doesn't support javascript.
loading
Application of a 1H Brain MRS Benchmark Dataset to Deep Learning for Out-of-Voxel Artifacts.
Gudmundson, Aaron T; Davies-Jenkins, Christopher W; Özdemir, Ipek; Murali-Manohar, Saipavitra; Zöllner, Helge J; Song, Yulu; Hupfeld, Kathleen E; Schnitzler, Alfons; Oeltzschner, Georg; Stark, Craig E L; Edden, Richard A E.
Afiliación
  • Gudmundson AT; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine.
  • Davies-Jenkins CW; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute.
  • Özdemir I; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine.
  • Murali-Manohar S; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute.
  • Zöllner HJ; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine.
  • Song Y; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute.
  • Hupfeld KE; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine.
  • Schnitzler A; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute.
  • Oeltzschner G; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine.
  • Stark CEL; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute.
  • Edden RAE; Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins School of Medicine.
bioRxiv ; 2023 Sep 01.
Article en En | MEDLINE | ID: mdl-37215030
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies Idioma: En Revista: BioRxiv Año: 2023 Tipo del documento: Article