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Deconvolution of 1D NMR spectra: A deep learning-based approach.
Schmid, N; Bruderer, S; Paruzzo, F; Fischetti, G; Toscano, G; Graf, D; Fey, M; Henrici, A; Ziebart, V; Heitmann, B; Grabner, H; Wegner, J D; Sigel, R K O; Wilhelm, D.
Affiliation
  • Schmid N; Zurich University of Applied Sciences (ZHAW), Switzerland; University of Zurich (UZH), Switzerland. Electronic address: scdn@zhaw.ch.
  • Bruderer S; Bruker Switzerland AG, Switzerland.
  • Paruzzo F; Bruker Switzerland AG, Switzerland.
  • Fischetti G; Ca' Foscari University of Venice, Italy.
  • Toscano G; Bruker Switzerland AG, Switzerland.
  • Graf D; Bruker Switzerland AG, Switzerland.
  • Fey M; Bruker Switzerland AG, Switzerland.
  • Henrici A; Zurich University of Applied Sciences (ZHAW), Switzerland.
  • Ziebart V; Zurich University of Applied Sciences (ZHAW), Switzerland.
  • Heitmann B; Bruker Switzerland AG, Switzerland.
  • Grabner H; Zurich University of Applied Sciences (ZHAW), Switzerland.
  • Wegner JD; University of Zurich (UZH), Switzerland.
  • Sigel RKO; University of Zurich (UZH), Switzerland.
  • Wilhelm D; Zurich University of Applied Sciences (ZHAW), Switzerland.
J Magn Reson ; 347: 107357, 2023 Feb.
Article in En | MEDLINE | ID: mdl-36563418
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: J Magn Reson Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article Country of publication: United States