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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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).

Item is Discarded

Basic (Discarded)

Date of Discard: 2022-09-09

Comment: Dublette

Creators:
Perlman, O
Zhu, B
Zaiss, M^{1, 2}
Rosen, MS
Farrar, CT

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

Dates: Submitted: 2021-07

Files: 0 Files

Locators: 1 Locator

version ID: item_3331412_2

Item State: Discarded

Name of Context: Import Context of the MPI for Biological Cybernetics, Affiliated to: Max Planck Institute for Biological Cybernetics