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Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods. / Boer, R.; Vrooman, H; Ikram, MA; Vernooij, MW; Breteler, MMB; van der Lugt, A.; Niessen, WJ.

In: NeuroImage, Vol. 51, 2010, p. 1047-1056.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Boer, R, Vrooman, H, Ikram, MA, Vernooij, MW, Breteler, MMB, van der Lugt, A & Niessen, WJ 2010, 'Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods' NeuroImage, vol. 51, pp. 1047-1056.

APA

Boer, R., Vrooman, H., Ikram, MA., Vernooij, MW., Breteler, MMB., van der Lugt, A., & Niessen, WJ. (2010). Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods. NeuroImage, 51, 1047-1056.

Vancouver

Boer R, Vrooman H, Ikram MA, Vernooij MW, Breteler MMB, van der Lugt A et al. Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods. NeuroImage. 2010;51:1047-1056.

Author

Boer, R. ; Vrooman, H ; Ikram, MA ; Vernooij, MW ; Breteler, MMB ; van der Lugt, A. ; Niessen, WJ. / Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods. In: NeuroImage. 2010 ; Vol. 51. pp. 1047-1056.

BibTeX

@article{afbbba013d1f4bb086c5bbf60fcfcfa2,
title = "Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods",
keywords = "CWTS 0.75 <= JFIS < 2.00",
author = "R. Boer and H Vrooman and MA Ikram and MW Vernooij and MMB Breteler and {van der Lugt}, A. and WJ Niessen",
year = "2010",
language = "English",
volume = "51",
pages = "1047--1056",
journal = "NeuroImage",
issn = "1053-8119",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods

AU - Boer, R.

AU - Vrooman, H

AU - Ikram, MA

AU - Vernooij, MW

AU - Breteler, MMB

AU - van der Lugt, A.

AU - Niessen, WJ

PY - 2010

Y1 - 2010

KW - CWTS 0.75 <= JFIS < 2.00

M3 - Article

VL - 51

SP - 1047

EP - 1056

JO - NeuroImage

T2 - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -

ID: 3046699