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Items: 1 to 20 of 133

1.

Comprehensive brain MRI segmentation in high risk preterm newborns.

Yu X, Zhang Y, Lasky RE, Datta S, Parikh NA, Narayana PA.

PLoS One. 2010 Nov 8;5(11):e13874. doi: 10.1371/journal.pone.0013874.

2.

Reliability and repeatability of quantitative tractography methods for mapping structural white matter connectivity in preterm and term infants at term-equivalent age.

Kaur S, Powell S, He L, Pierson CR, Parikh NA.

PLoS One. 2014 Jan 24;9(1):e85807. doi: 10.1371/journal.pone.0085807. eCollection 2014.

3.

Automatic segmentation of eight tissue classes in neonatal brain MRI.

Anbeek P, Išgum I, van Kooij BJ, Mol CP, Kersbergen KJ, Groenendaal F, Viergever MA, de Vries LS, Benders MJ.

PLoS One. 2013 Dec 17;8(12):e81895. doi: 10.1371/journal.pone.0081895. eCollection 2013.

4.

Patch-based augmentation of Expectation-Maximization for brain MRI tissue segmentation at arbitrary age after premature birth.

Liu M, Kitsch A, Miller S, Chau V, Poskitt K, Rousseau F, Shaw D, Studholme C.

Neuroimage. 2016 Feb 15;127:387-408. doi: 10.1016/j.neuroimage.2015.12.009. Epub 2015 Dec 17.

5.

Defining the nature of the cerebral abnormalities in the premature infant: a qualitative magnetic resonance imaging study.

Inder TE, Wells SJ, Mogridge NB, Spencer C, Volpe JJ.

J Pediatr. 2003 Aug;143(2):171-9.

PMID:
12970628
6.

Automatic segmentation of newborn brain MRI.

Weisenfeld NI, Warfield SK.

Neuroimage. 2009 Aug 15;47(2):564-72. doi: 10.1016/j.neuroimage.2009.04.068. Epub 2009 May 3.

7.

Regional brain volumes and their later neurodevelopmental correlates in term and preterm infants.

Peterson BS, Anderson AW, Ehrenkranz R, Staib LH, Tageldin M, Colson E, Gore JC, Duncan CC, Makuch R, Ment LR.

Pediatrics. 2003 May;111(5 Pt 1):939-48.

PMID:
12728069
8.

Quantification of deep gray matter in preterm infants at term-equivalent age using manual volumetry of 3-tesla magnetic resonance images.

Srinivasan L, Dutta R, Counsell SJ, Allsop JM, Boardman JP, Rutherford MA, Edwards AD.

Pediatrics. 2007 Apr;119(4):759-65.

PMID:
17403847
9.

AdaPT: An adaptive preterm segmentation algorithm for neonatal brain MRI.

Cardoso MJ, Melbourne A, Kendall GS, Modat M, Robertson NJ, Marlow N, Ourselin S.

Neuroimage. 2013 Jan 15;65:97-108. doi: 10.1016/j.neuroimage.2012.08.009. Epub 2012 Aug 14.

PMID:
22906793
10.

Automatic segmentation of the hippocampus for preterm neonates from early-in-life to term-equivalent age.

Guo T, Winterburn JL, Pipitone J, Duerden EG, Park MT, Chau V, Poskitt KJ, Grunau RE, Synnes A, Miller SP, Mallar Chakravarty M.

Neuroimage Clin. 2015 Aug 24;9:176-93. doi: 10.1016/j.nicl.2015.07.019. eCollection 2015.

11.

Automated detection of white matter signal abnormality using T2 relaxometry: application to brain segmentation on term MRI in very preterm infants.

He L, Parikh NA.

Neuroimage. 2013 Jan 1;64:328-40. doi: 10.1016/j.neuroimage.2012.08.081. Epub 2012 Sep 6.

12.

Perinatal factors and regional brain volume abnormalities at term in a cohort of extremely low birth weight infants.

Parikh NA, Lasky RE, Kennedy KA, McDavid G, Tyson JE.

PLoS One. 2013 May 9;8(5):e62804. doi: 10.1371/journal.pone.0062804. Print 2013.

13.

An automated registration algorithm for measuring MRI subcortical brain structures.

Iosifescu DV, Shenton ME, Warfield SK, Kikinis R, Dengler J, Jolesz FA, McCarley RW.

Neuroimage. 1997 Jul;6(1):13-25.

PMID:
9245652
14.

Comparative assessment of statistical brain MR image segmentation algorithms and their impact on partial volume correction in PET.

Zaidi H, Ruest T, Schoenahl F, Montandon ML.

Neuroimage. 2006 Oct 1;32(4):1591-607. Epub 2006 Jul 7.

PMID:
16828315
15.

MRI FLAIR lesion segmentation in multiple sclerosis: Does automated segmentation hold up with manual annotation?

Egger C, Opfer R, Wang C, Kepp T, Sormani MP, Spies L, Barnett M, Schippling S.

Neuroimage Clin. 2016 Nov 20;13:264-270. doi: 10.1016/j.nicl.2016.11.020. eCollection 2017.

16.

Automatic segmentation of MR brain images of preterm infants using supervised classification.

Moeskops P, Benders MJ, Chiţ SM, Kersbergen KJ, Groenendaal F, de Vries LS, Viergever MA, Išgum I.

Neuroimage. 2015 Sep;118:628-41. doi: 10.1016/j.neuroimage.2015.06.007. Epub 2015 Jun 7.

PMID:
26057591
17.

Optimizing hippocampal segmentation in infants utilizing MRI post-acquisition processing.

Thompson DK, Ahmadzai ZM, Wood SJ, Inder TE, Warfield SK, Doyle LW, Egan GF.

Neuroinformatics. 2012 Apr;10(2):173-80. doi: 10.1007/s12021-011-9137-7.

18.
19.

Probabilistic brain tissue segmentation in neonatal magnetic resonance imaging.

Anbeek P, Vincken KL, Groenendaal F, Koeman A, van Osch MJ, van der Grond J.

Pediatr Res. 2008 Feb;63(2):158-63.

PMID:
18091357
20.

A comprehensive testing protocol for MRI neuroanatomical segmentation techniques: Evaluation of a novel lateral ventricle segmentation method.

Kempton MJ, Underwood TS, Brunton S, Stylios F, Schmechtig A, Ettinger U, Smith MS, Lovestone S, Crum WR, Frangou S, Williams SC, Simmons A.

Neuroimage. 2011 Oct 15;58(4):1051-9. doi: 10.1016/j.neuroimage.2011.06.080. Epub 2011 Jul 30.

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