Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization.
- DOI
- 10.1073/pnas.2020516118
- Published
- 2021 Oct 5
- Container
- Proceedings of the National Academy of Sciences of the United States of America
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1073/pnas.2020516118,
title = {Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization.},
author = {Jordan SP and Hu S and Rozada I and McGivney DF and Boyacioğlu R and Jacob DC and Huang S and Beverland M and Katzgraber HG and Troyer M and Griswold MA and Ma D},
year = {2021},
journal = {Proceedings of the National Academy of Sciences of the United States of America},
doi = {10.1073/pnas.2020516118},
url = {https://doi.org/10.1073/pnas.2020516118}
}RIS
TY - JOUR TI - Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization. AU - Jordan SP AU - Hu S AU - Rozada I AU - McGivney DF AU - Boyacioğlu R AU - Jacob DC AU - Huang S AU - Beverland M AU - Katzgraber HG AU - Troyer M AU - Griswold MA AU - Ma D PY - 2021 JO - Proceedings of the National Academy of Sciences of the United States of America DO - 10.1073/pnas.2020516118 UR - https://doi.org/10.1073/pnas.2020516118 ER -
APA
SP, J., S, H., I, R., DF, M., R, B., DC, J., S, H., M, B., HG, K., M, T., MA, G., & D, M. (2021). Automated design of pulse sequences for magnetic resonance fingerprinting using physics-inspired optimization.. Proceedings of the National Academy of Sciences of the United States of America. https://doi.org/10.1073/pnas.2020516118
Source records
- pubmed · retrieved 2026-11-10T11:11:44.795Z