MRzero ‐ Automated discovery of MRI sequences using supervised learning-Reference-Cited by-同舟云学术

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MRzero ‐ Automated discovery of MRI sequences using supervised learning

Published:2021-03-23 Issue:2 Volume:86 Page:709-724
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Loktyushin A.¹²^ORCID,Herz K.¹³,Dang N.⁴,Glang F.¹,Deshmane A.¹,Weinmüller S.⁴,Doerfler A.⁴,Schölkopf B.²,Scheffler K.¹³,Zaiss M.¹⁴

Affiliation:

1. Magnetic Resonance Center Max‐Planck Institute for Biological Cybernetics Tübingen Germany

2. Empirical Inference Max‐Planck Institute for Intelligent Systems Tübingen Germany

3. University of Tübingen Tübingen Germany

4. Friedrich‐Alexander Universität Erlangen‐Nürnberg (FAU), Neuroradiology University Clinic Erlangen Erlangen Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Wiley

Subject

Radiology, Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mrm.28727

Reference41 articles.

1. Steady-State Free Precession in Nuclear Magnetic Resonance

2. FLASH imaging. Rapid NMR imaging using low flip-angle pulses

3. RARE imaging: A fast imaging method for clinical MR

4. Time-optimal multidimensional gradient waveform design for rapid imaging

5. A fast method for designing time-optimal gradient waveforms for arbitrary k-space trajectories

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