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Results: 1 to 20 of 81

Cited In for PubMed (Select 10628948)

1.

Three-dimensional brain magnetic resonance imaging segmentation via knowledge-driven decision theory.

Verma N, Muralidhar GS, Bovik AC, Cowperthwaite MC, Burnett MG, Markey MK.

J Med Imaging (Bellingham). 2014 Oct;1(3):034001. doi: 10.1117/1.JMI.1.3.034001. Epub 2014 Oct 1.

PMID:
26158060
2.

MRI segmentation of the human brain: challenges, methods, and applications.

Despotović I, Goossens B, Philips W.

Comput Math Methods Med. 2015;2015:450341. doi: 10.1155/2015/450341. Epub 2015 Mar 1. Review.

3.

Multi-Atlas Segmentation for Abdominal Organs with Gaussian Mixture Models.

Burke RP, Xu Z, Lee CP, Baucom RB, Poulose BK, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2015 Mar 17;9417. pii: 941707.

4.

Efficient Abdominal Segmentation on Clinically Acquired CT with SIMPLE Context Learning.

Xu Z, Burke RP, Lee CP, Baucom RB, Poulose BK, Abramson RG, Landman BA.

Proc SPIE Int Soc Opt Eng. 2015 Mar 20;9413. pii: 94130L.

5.

An active contour model for the segmentation of images with intensity inhomogeneities and bias field estimation.

Huang C, Zeng L.

PLoS One. 2015 Apr 2;10(3):e0120399. doi: 10.1371/journal.pone.0120399. eCollection 2015.

6.

Abnormalities in cortical gray matter density in borderline personality disorder.

Rossi R, Lanfredi M, Pievani M, Boccardi M, Rasser PE, Thompson PM, Cavedo E, Cotelli M, Rosini S, Beneduce R, Bignotti S, Magni LR, Rillosi L, Magnaldi S, Cobelli M, Rossi G, Frisoni GB.

Eur Psychiatry. 2015 Feb;30(2):221-7. doi: 10.1016/j.eurpsy.2014.11.009. Epub 2015 Jan 2.

PMID:
25561291
7.

Magnetic resonance image tissue classification using an automatic method.

Yazdani S, Yusof R, Riazi A, Karimian A.

Diagn Pathol. 2014 Dec 24;9:207. doi: 10.1186/s13000-014-0207-7.

8.

An evaluation of volume-based morphometry for prediction of mild cognitive impairment and Alzheimer's disease.

Schmitter D, Roche A, Maréchal B, Ribes D, Abdulkadir A, Bach-Cuadra M, Daducci A, Granziera C, Klöppel S, Maeder P, Meuli R, Krueger G; Alzheimer's Disease Neuroimaging Initiative.

Neuroimage Clin. 2014 Nov 8;7:7-17. doi: 10.1016/j.nicl.2014.11.001. eCollection 2015.

9.

Combining generative models for multifocal glioma segmentation and registration.

Kwon D, Shinohara RT, Akbari H, Davatzikos C.

Med Image Comput Comput Assist Interv. 2014;17(Pt 1):763-70.

10.

Assessing age-related gray matter decline with voxel-based morphometry depends significantly on segmentation and normalization procedures.

Callaert DV, Ribbens A, Maes F, Swinnen SP, Wenderoth N.

Front Aging Neurosci. 2014 Jun 23;6:124. doi: 10.3389/fnagi.2014.00124. eCollection 2014.

11.

Multiplicative intrinsic component optimization (MICO) for MRI bias field estimation and tissue segmentation.

Li C, Gore JC, Davatzikos C.

Magn Reson Imaging. 2014 Sep;32(7):913-23. doi: 10.1016/j.mri.2014.03.010. Epub 2014 Apr 30.

12.

Cortical gamma-aminobutyric acid and glutamate in posttraumatic stress disorder and their relationships to self-reported sleep quality.

Meyerhoff DJ, Mon A, Metzler T, Neylan TC.

Sleep. 2014 May 1;37(5):893-900. doi: 10.5665/sleep.3654.

13.
14.

Testing for association of the monoamine oxidase A promoter polymorphism with brain structure volumes in both autism and the fragile X syndrome.

Wassink TH, Hazlett HC, Davis LK, Reiss AL, Piven J.

J Neurodev Disord. 2014 Mar 26;6(1):6. doi: 10.1186/1866-1955-6-6.

15.

PORTR: Pre-operative and post-recurrence brain tumor registration.

Kwon D, Niethammer M, Akbari H, Bilello M, Davatzikos C, Pohl KM.

IEEE Trans Med Imaging. 2014 Mar;33(3):651-67. doi: 10.1109/TMI.2013.2293478.

16.

Multi-atlas segmentation of subcortical brain structures via the AutoSeg software pipeline.

Wang J, Vachet C, Rumple A, Gouttard S, Ouziel C, Perrot E, Du G, Huang X, Gerig G, Styner M.

Front Neuroinform. 2014 Feb 6;8:7. doi: 10.3389/fninf.2014.00007. eCollection 2014.

17.

Fast, sequence adaptive parcellation of brain MR using parametric models.

Puonti O, Iglesias JE, Van Leemput K.

Med Image Comput Comput Assist Interv. 2013;16(Pt 1):727-34.

18.

Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.

Litjens G, Toth R, van de Ven W, Hoeks C, Kerkstra S, van Ginneken B, Vincent G, Guillard G, Birbeck N, Zhang J, Strand R, Malmberg F, Ou Y, Davatzikos C, Kirschner M, Jung F, Yuan J, Qiu W, Gao Q, Edwards PE, Maan B, van der Heijden F, Ghose S, Mitra J, Dowling J, Barratt D, Huisman H, Madabhushi A.

Med Image Anal. 2014 Feb;18(2):359-73. doi: 10.1016/j.media.2013.12.002. Epub 2013 Dec 25.

19.

Changes of MR and DTI appearance in early human brain development.

Marc C, Vachet C, Gerig G, Blocher J, Gilmore J, Styner M.

Proc SPIE Int Soc Opt Eng. 2010 Mar 12;7623. doi: 10.1117/12.844912.

20.

Level set segmentation of medical images based on local region statistics and maximum a posteriori probability.

Cui W, Wang Y, Lei T, Fan Y, Feng Y.

Comput Math Methods Med. 2013;2013:570635. doi: 10.1155/2013/570635. Epub 2013 Nov 5.

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