Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions.

Galimzianova A, Lesjak Ž, Rubin DL, Likar B, Pernuš F, Špiclin Ž

DOI: 10.1117/1.jmi.5.1.011007
Published: 2018 Jan
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.5.1.011007,
  title = {Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions.},
  author = {Galimzianova A and Lesjak Ž and Rubin DL and Likar B and Pernuš F and Špiclin Ž},
  year = {2018},
  journal = {Journal of medical imaging (Bellingham, Wash.)},
  doi = {10.1117/1.jmi.5.1.011007},
  url = {https://doi.org/10.1117/1.jmi.5.1.011007}
}

RIS

TY  - JOUR
TI  - Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions.
AU  - Galimzianova A
AU  - Lesjak Ž
AU  - Rubin DL
AU  - Likar B
AU  - Pernuš F
AU  - Špiclin Ž
PY  - 2018
JO  - Journal of medical imaging (Bellingham, Wash.)
DO  - 10.1117/1.jmi.5.1.011007
UR  - https://doi.org/10.1117/1.jmi.5.1.011007
ER  -

APA

A, G., Ž, L., DL, R., B, L., F, P., & Ž, Š. (2018). Locally adaptive magnetic resonance intensity models for unsupervised segmentation of multiple sclerosis lesions.. Journal of medical imaging (Bellingham, Wash.). https://doi.org/10.1117/1.jmi.5.1.011007

Source records

pubmed · retrieved 2026-09-26T22:35:55.373Z