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  Estimation of parameters from sparsely sampled in-vivo magnetization transfer data using artificial neural networks

Marschner, H., Müller, D., Pampel, A., & Moeller, H. E. (2013). Estimation of parameters from sparsely sampled in-vivo magnetization transfer data using artificial neural networks. In Proceedings of the International Society for Magnetic Resonance in Medicine.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0014-A885-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-002B-CA71-2
Genre: Meeting Abstract

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 Creators:
Marschner, Henrik1, Author              
Müller, Dirk1, Author
Pampel, André1, Author              
Moeller, Harald E.1, Author              
Affiliations:
1Methods and Development Unit Nuclear Magnetic Resonance, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_634558              

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 Dates: 2013
 Publication Status: Published in print
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Title: ISMRM 21st Annual Meeting & Exhibition
Place of Event: Salt Lake City, UT, USA
Start-/End Date: 2013-04-20 - 2013-04-26

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Title: Proceedings of the International Society for Magnetic Resonance in Medicine
Source Genre: Proceedings
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