Automated segmentation of lateral ventricles from human and primate magnetic resonance images using cognition network technology.

D. Linden, R. Schönmeyer, D. Prvulovic, A. Rotarska-Jagiela, C. Haenschel, D.E. Linden

Research output: Contribution to journal › Article › peer-review

Keywords

@article{bd204f43038c4baaab020016b05f8ae8,

title = "Automated segmentation of lateral ventricles from human and primate magnetic resonance images using cognition network technology.",

keywords = "RADIOLOGY, NUCLEAR MEDICINE \& MEDICAL IMAGING",

author = "D. Linden and R. Sch{\"o}nmeyer and D. Prvulovic and A. Rotarska-Jagiela and C. Haenschel and D.E. Linden",

year = "2006",

month = dec,

day = "1",

doi = "10.1016/j.mri.2006.08.013",

language = "English",

volume = "24",

pages = "1377--1387",

journal = "Magnetic Resonance Imaging",

issn = "0730-725X",

publisher = "Elsevier",

number = "10",

}

TY - JOUR

T1 - Automated segmentation of lateral ventricles from human and primate magnetic resonance images using cognition network technology.

AU - Linden, D.

AU - Schönmeyer, R.

AU - Prvulovic, D.

AU - Rotarska-Jagiela, A.

AU - Haenschel, C.

AU - Linden, D.E.

PY - 2006/12/1

Y1 - 2006/12/1

KW - RADIOLOGY

KW - NUCLEAR MEDICINE & MEDICAL IMAGING

U2 - 10.1016/j.mri.2006.08.013

DO - 10.1016/j.mri.2006.08.013

M3 - Article

SN - 0730-725X

VL - 24

SP - 1377

EP - 1387

JO - Magnetic Resonance Imaging

JF - Magnetic Resonance Imaging

IS - 10

ER -