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  An End-to-End AI-Based Framework for Automated Discovery of CEST/MT MR Fingerprinting Acquisition Protocols and Quantitative Deep Reconstruction (AutoCEST)

Perlman, O., Zhu, B., Zaiss, M., Rosen, M., & Farrar, C. (submitted). An End-to-End AI-Based Framework for Automated Discovery of CEST/MT MR Fingerprinting Acquisition Protocols and Quantitative Deep Reconstruction (AutoCEST).

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https://arxiv.org/pdf/2107.04737.pdf (Any fulltext)
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Perlman, O, Author
Zhu, B, Author
Zaiss, M1, 2, Author              
Rosen, MS, Author
Farrar, CT, Author
Affiliations:
1Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Dates: 2021-07
 Publication Status: Submitted
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