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Items: 1 to 20 of 135

1.

Automatic segmentation of the ventricular system from MR images of the human brain.

Schnack HG, Hulshoff Pol HE, Baaré WF, Viergever MA, Kahn RS.

Neuroimage. 2001 Jul;14(1 Pt 1):95-104.

PMID:
11525342
2.

Automatic segmentation of the human brain ventricles from MR images by knowledge-based region growing and trimming.

Liu J, Huang S, Nowinski WL.

Neuroinformatics. 2009 Jun;7(2):131-46. doi: 10.1007/s12021-009-9046-1. Epub 2009 May 16.

PMID:
19449142
3.
4.

Three-dimensional anatomical model-based segmentation of MR brain images through Principal Axes Registration.

Arata LK, Dhawan AP, Broderick JP, Gaskil-Shipley MF, Levy AV, Volkow ND.

IEEE Trans Biomed Eng. 1995 Nov;42(11):1069-78.

PMID:
7498910
5.

Automatic compartmental decomposition for 3D MR images of human brain.

Zhao L, Tohka J.

Conf Proc IEEE Eng Med Biol Soc. 2008;2008:3888-91. doi: 10.1109/IEMBS.2008.4650059.

PMID:
19163562
6.

Automatic morphology-based brain segmentation (MBRASE) from MRI-T1 data.

Stokking R, Vincken KL, Viergever MA.

Neuroimage. 2000 Dec;12(6):726-38.

PMID:
11112404
8.

Multi-level adaptive segmentation of multi-parameter MR brain images.

Zavaljevski A, Dhawan AP, Gaskil M, Ball W, Johnson JD.

Comput Med Imaging Graph. 2000 Mar-Apr;24(2):87-98.

PMID:
10767588
9.
10.

Automated cerebrum segmentation from three-dimensional sagittal brain MR images.

Huh S, Ketter TA, Sohn KH, Lee C.

Comput Biol Med. 2002 Sep;32(5):311-28.

PMID:
12102751
11.

The dynamics of brain and cerebrospinal fluid growth in normal versus hydrocephalic mice.

Mandell JG, Neuberger T, Drapaca CS, Webb AG, Schiff SJ.

J Neurosurg Pediatr. 2010 Jul;6(1):1-10. doi: 10.3171/2010.4.PEDS1014.

PMID:
20593980
12.

Automated method for identification of patients with Alzheimer's disease based on three-dimensional MR images.

Arimura H, Yoshiura T, Kumazawa S, Tanaka K, Koga H, Mihara F, Honda H, Sakai S, Toyofuku F, Higashida Y.

Acad Radiol. 2008 Mar;15(3):274-84. doi: 10.1016/j.acra.2007.10.020.

PMID:
18280925
13.

MR-based brain and cerebrospinal fluid measurement after traumatic brain injury: correlation with neuropsychological outcome.

Blatter DD, Bigler ED, Gale SD, Johnson SC, Anderson CV, Burnett BM, Ryser D, Macnamara SE, Bailey BJ.

AJNR Am J Neuroradiol. 1997 Jan;18(1):1-10.

14.

Supra-regional brain systems and the neuropathology of schizophrenia.

Wright IC, Sharma T, Ellison ZR, McGuire PK, Friston KJ, Brammer MJ, Murray RM, Bullmore ET.

Cereb Cortex. 1999 Jun;9(4):366-78.

PMID:
10426416
15.

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

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

Magn Reson Imaging. 2006 Dec;24(10):1377-87. Epub 2006 Oct 25.

PMID:
17145410
16.

Automatic segmentation of the caudate nucleus from human brain MR images.

Xia Y, Bettinger K, Shen L, Reiss AL.

IEEE Trans Med Imaging. 2007 Apr;26(4):509-17.

PMID:
17427738
17.

Automatic model-guided segmentation of the human brain ventricular system from CT images.

Liu J, Huang S, Ihar V, Ambrosius W, Lee LC, Nowinski WL.

Acad Radiol. 2010 Jun;17(6):718-26. doi: 10.1016/j.acra.2010.02.013. Erratum in: Acad Radiol. 2010 Oct;17(10):1226.

PMID:
20457415
18.

A robust method for extraction and automatic segmentation of brain images.

Kovacevic N, Lobaugh NJ, Bronskill MJ, Levine B, Feinstein A, Black SE.

Neuroimage. 2002 Nov;17(3):1087-100.

PMID:
12414252
19.
20.

Automatic identification of the reference system based on the fourth ventricular landmarks in T1-weighted MR images.

Fu Y, Gao W, Chen X, Zhu M, Shen W, Wang S.

Acad Radiol. 2010 Jan;17(1):67-74. doi: 10.1016/j.acra.2009.07.013. Epub 2009 Sep 5.

PMID:
19734061

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