Self-supervised pre-training based hybrid network for deep gray matter nuclei segmentation.

Deng Y, Xi J, Chen Z, Bao L

Open source

DOI: 10.1016/j.mrl.2025.200226
Published: 2026 Feb
Container: Magnetic resonance letters
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.mrl.2025.200226,
  title = {Self-supervised pre-training based hybrid network for deep gray matter nuclei segmentation.},
  author = {Deng Y and Xi J and Chen Z and Bao L},
  year = {2026},
  journal = {Magnetic resonance letters},
  doi = {10.1016/j.mrl.2025.200226},
  url = {https://doi.org/10.1016/j.mrl.2025.200226}
}

RIS

TY  - JOUR
TI  - Self-supervised pre-training based hybrid network for deep gray matter nuclei segmentation.
AU  - Deng Y
AU  - Xi J
AU  - Chen Z
AU  - Bao L
PY  - 2026
JO  - Magnetic resonance letters
DO  - 10.1016/j.mrl.2025.200226
UR  - https://doi.org/10.1016/j.mrl.2025.200226
ER  -

APA

Y, D., J, X., Z, C., & L, B. (2026). Self-supervised pre-training based hybrid network for deep gray matter nuclei segmentation.. Magnetic resonance letters. https://doi.org/10.1016/j.mrl.2025.200226

Source records

pubmed · retrieved 2026-09-26T02:41:22.554Z
europe-pmc · retrieved 2026-09-26T02:41:22.564Z
doaj · retrieved 2026-09-26T02:41:22.555Z