LiteMamba-Synth: lightweight state space models for efficient 3T-to-7T MRI translation

Zhengrui Zhang, Jie Dong, Haoting Yang, Zehong Chen

Open source

DOI: 10.3389/fnana.2026.1886476
Published: 2026-07-09
Container: Frontiers in Neuroanatomy
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fnana.2026.1886476,
  title = {LiteMamba-Synth: lightweight state space models for efficient 3T-to-7T MRI translation},
  author = {Zhengrui Zhang and Jie Dong and Haoting Yang and Zehong Chen},
  year = {2026},
  journal = {Frontiers in Neuroanatomy},
  doi = {10.3389/fnana.2026.1886476},
  url = {https://doi.org/10.3389/fnana.2026.1886476}
}

RIS

TY  - JOUR
TI  - LiteMamba-Synth: lightweight state space models for efficient 3T-to-7T MRI translation
AU  - Zhengrui Zhang
AU  - Jie Dong
AU  - Haoting Yang
AU  - Zehong Chen
PY  - 2026
JO  - Frontiers in Neuroanatomy
DO  - 10.3389/fnana.2026.1886476
UR  - https://doi.org/10.3389/fnana.2026.1886476
ER  -

APA

Zhang, Z., Dong, J., Yang, H., & Chen, Z. (2026). LiteMamba-Synth: lightweight state space models for efficient 3T-to-7T MRI translation. Frontiers in Neuroanatomy. https://doi.org/10.3389/fnana.2026.1886476

Source records

crossref · retrieved 2026-09-26T18:23:51.979Z