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  Quantalizer: A quantitative digital twin to create and run tailored sequences

Weinmüller, S., Endres, J., Dang, H., Rajput, J., Glang, F., Maier, A., et al. (2024). Quantalizer: A quantitative digital twin to create and run tailored sequences. Magnetic Resonance Materials in Physics, Biology and Medicine, 37(Supplement 1): O11, S17-S19.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000F-EB6A-2 Version Permalink: https://hdl.handle.net/21.11116/0000-000F-EB6E-E
Genre: Meeting Abstract

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Locator:
https://link.springer.com/content/pdf/10.1007/s10334-024-01191-6.pdf (Publisher version)
Description:
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 Creators:
Weinmüller, S, Author
Endres, J, Author
Dang, HN, Author
Rajput, JR, Author
Glang, F1, Author                 
Maier, A, Author
Zaiss, M, Author                 
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              

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 Dates: 2024-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1007/s10334-024-01191-6
 Degree: -

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Title: 40th Annual Scientific Meeting of the European Society for Magnetic Resonance in Medicine and Biology (ESMRMB 2024)
Place of Event: Barcelona, Spain
Start-/End Date: 2024-10-02 - 2024-10-05

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Title: Magnetic Resonance Materials in Physics, Biology and Medicine
  Abbreviation : MAGMA
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Amsterdam : No longer published by Elsevier
Pages: - Volume / Issue: 37 (Supplement 1) Sequence Number: O11 Start / End Page: S17 - S19 Identifier: ISSN: 0968-5243
CoNE: https://pure.mpg.de/cone/journals/resource/954926245532