Synthesizing raw multicoil MRI data with a deep generative framework.

Deveshwar N, Rajagopal A, Lustig M, Larson PEZ

DOI: 10.1117/1.jmi.13.s1.s11211
Published: 2026 Feb
Container: Journal of medical imaging (Bellingham, Wash.)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1117/1.jmi.13.s1.s11211,
  title = {Synthesizing raw multicoil MRI data with a deep generative framework.},
  author = {Deveshwar N and Rajagopal A and Lustig M and Larson PEZ},
  year = {2026},
  journal = {Journal of medical imaging (Bellingham, Wash.)},
  doi = {10.1117/1.jmi.13.s1.s11211},
  url = {https://doi.org/10.1117/1.jmi.13.s1.s11211}
}

RIS

TY  - JOUR
TI  - Synthesizing raw multicoil MRI data with a deep generative framework.
AU  - Deveshwar N
AU  - Rajagopal A
AU  - Lustig M
AU  - Larson PEZ
PY  - 2026
JO  - Journal of medical imaging (Bellingham, Wash.)
DO  - 10.1117/1.jmi.13.s1.s11211
UR  - https://doi.org/10.1117/1.jmi.13.s1.s11211
ER  -

APA

N, D., A, R., M, L., & PEZ, L. (2026). Synthesizing raw multicoil MRI data with a deep generative framework.. Journal of medical imaging (Bellingham, Wash.). https://doi.org/10.1117/1.jmi.13.s1.s11211

Source records

pubmed · retrieved 2026-11-10T13:11:01.711Z