Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.

Wang R, Li C, Wang J, Wei X, Li Y, Zhu Y, Zhang S

Open source

DOI
10.1007/s00234-014-1466-4
Published
2015 Mar
Container
Neuroradiology
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1007/s00234-014-1466-4,
  title = {Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.},
  author = {Wang R and Li C and Wang J and Wei X and Li Y and Zhu Y and Zhang S},
  year = {2015},
  journal = {Neuroradiology},
  doi = {10.1007/s00234-014-1466-4},
  url = {https://doi.org/10.1007/s00234-014-1466-4}
}

RIS

TY  - JOUR
TI  - Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.
AU  - Wang R
AU  - Li C
AU  - Wang J
AU  - Wei X
AU  - Li Y
AU  - Zhu Y
AU  - Zhang S
PY  - 2015
JO  - Neuroradiology
DO  - 10.1007/s00234-014-1466-4
UR  - https://doi.org/10.1007/s00234-014-1466-4
ER  - 

APA

R, W., C, L., J, W., X, W., Y, L., Y, Z., & S, Z. (2015). Automatic segmentation and volumetric quantification of white matter hyperintensities on fluid-attenuated inversion recovery images using the extreme value distribution.. Neuroradiology. https://doi.org/10.1007/s00234-014-1466-4

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