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

Marschner, Henrik; Müller, Dirk; Pampel, André; Moeller, Harald E.

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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. Poster presented at ISMRM 2013 Annual Meeting, Salt Lake City, UT, USA.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0014-472B-6 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-002B-C7F8-A

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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: Created: 2013-04

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Title: ISMRM 2013 Annual Meeting

Place of Event: Salt Lake City, UT, USA

Start-/End Date: 2013-04-20 - 2013-04-26

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