Beyond nnU-Net: emerging artificial intelligence directions for automated perivascular space segmentation.

Çamur E

DOI: 10.1007/s00234-026-04145-y
Published: 2026 Aug 8
Container: Neuroradiology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00234-026-04145-y,
  title = {Beyond nnU-Net: emerging artificial intelligence directions for automated perivascular space segmentation.},
  author = {Çamur E},
  year = {2026},
  journal = {Neuroradiology},
  doi = {10.1007/s00234-026-04145-y},
  url = {https://doi.org/10.1007/s00234-026-04145-y}
}

RIS

TY  - JOUR
TI  - Beyond nnU-Net: emerging artificial intelligence directions for automated perivascular space segmentation.
AU  - Çamur E
PY  - 2026
JO  - Neuroradiology
DO  - 10.1007/s00234-026-04145-y
UR  - https://doi.org/10.1007/s00234-026-04145-y
ER  -

APA

E, Ç. (2026). Beyond nnU-Net: emerging artificial intelligence directions for automated perivascular space segmentation.. Neuroradiology. https://doi.org/10.1007/s00234-026-04145-y

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pubmed · retrieved 2026-09-26T12:57:53.366Z