140 related articles for article (PubMed ID: 19481420)
1. An improved level set method for brain MR images segmentation and bias correction.
Chen Y; Zhang J; Macione J
Comput Med Imaging Graph; 2009 Oct; 33(7):510-9. PubMed ID: 19481420
[TBL] [Abstract][Full Text] [Related]
2. Automatic segmentation for brain MR images via a convex optimized segmentation and bias field correction coupled model.
Chen Y; Zhao B; Zhang J; Zheng Y
Magn Reson Imaging; 2014 Sep; 32(7):941-55. PubMed ID: 24832358
[TBL] [Abstract][Full Text] [Related]
3. A variational level set approach to segmentation and bias correction of images with intensity inhomogeneity.
Li C; Huang R; Ding Z; Gatenby C; Metaxas D; Gore J
Med Image Comput Comput Assist Interv; 2008; 11(Pt 2):1083-91. PubMed ID: 18982712
[TBL] [Abstract][Full Text] [Related]
4. Level set segmentation of brain magnetic resonance images based on local Gaussian distribution fitting energy.
Wang L; Chen Y; Pan X; Hong X; Xia D
J Neurosci Methods; 2010 May; 188(2):316-25. PubMed ID: 20230858
[TBL] [Abstract][Full Text] [Related]
5. An anisotropic images segmentation and bias correction method.
Chen Y; Zhang J; Yang J
Magn Reson Imaging; 2012 Jan; 30(1):85-95. PubMed ID: 22055751
[TBL] [Abstract][Full Text] [Related]
6. Automated model-based bias field correction of MR images of the brain.
Van Leemput K; Maes F; Vandermeulen D; Suetens P
IEEE Trans Med Imaging; 1999 Oct; 18(10):885-96. PubMed ID: 10628948
[TBL] [Abstract][Full Text] [Related]
7. Intensity inhomogeneity correction of multispectral MR images.
Vovk U; Pernus F; Likar B
Neuroimage; 2006 Aug; 32(1):54-61. PubMed ID: 16647862
[TBL] [Abstract][Full Text] [Related]
8. Active contours driven by local and global intensity fitting energy with application to brain MR image segmentation.
Wang L; Li C; Sun Q; Xia D; Kao CY
Comput Med Imaging Graph; 2009 Oct; 33(7):520-31. PubMed ID: 19482457
[TBL] [Abstract][Full Text] [Related]
9. A fully automated algorithm under modified FCM framework for improved brain MR image segmentation.
Sikka K; Sinha N; Singh PK; Mishra AK
Magn Reson Imaging; 2009 Sep; 27(7):994-1004. PubMed ID: 19395212
[TBL] [Abstract][Full Text] [Related]
10. Parametric estimate of intensity inhomogeneities applied to MRI.
Styner M; Brechbühler C; Székely G; Gerig G
IEEE Trans Med Imaging; 2000 Mar; 19(3):153-65. PubMed ID: 10875700
[TBL] [Abstract][Full Text] [Related]
11. Segmentation and interpretation of MR brain images: an improved active shape model.
Duta N; Sonka M
IEEE Trans Med Imaging; 1998 Dec; 17(6):1049-62. PubMed ID: 10048862
[TBL] [Abstract][Full Text] [Related]
12. A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data.
Ahmed MN; Yamany SM; Mohamed N; Farag AA; Moriarty T
IEEE Trans Med Imaging; 2002 Mar; 21(3):193-9. PubMed ID: 11989844
[TBL] [Abstract][Full Text] [Related]
13. Image-guided regularization level set evolution for MR image segmentation and bias field correction.
Wang L; Pan C
Magn Reson Imaging; 2014 Jan; 32(1):71-83. PubMed ID: 24239334
[TBL] [Abstract][Full Text] [Related]
14. Automated model-based tissue classification of MR images of the brain.
Van Leemput K; Maes F; Vandermeulen D; Suetens P
IEEE Trans Med Imaging; 1999 Oct; 18(10):897-908. PubMed ID: 10628949
[TBL] [Abstract][Full Text] [Related]
15. Robust parameter estimation of intensity distributions for brain magnetic resonance images.
Schroeter P; Vesin JM; Langenberger T; Meuli R
IEEE Trans Med Imaging; 1998 Apr; 17(2):172-86. PubMed ID: 9688150
[TBL] [Abstract][Full Text] [Related]
16. Fuzzy local Gaussian mixture model for brain MR image segmentation.
Ji Z; Xia Y; Sun Q; Chen Q; Xia D; Feng DD
IEEE Trans Inf Technol Biomed; 2012 May; 16(3):339-47. PubMed ID: 22287250
[TBL] [Abstract][Full Text] [Related]
17. A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI.
Li C; Huang R; Ding Z; Gatenby JC; Metaxas DN; Gore JC
IEEE Trans Image Process; 2011 Jul; 20(7):2007-16. PubMed ID: 21518662
[TBL] [Abstract][Full Text] [Related]
18. Skull-stripping magnetic resonance brain images using a model-based level set.
Zhuang AH; Valentino DJ; Toga AW
Neuroimage; 2006 Aug; 32(1):79-92. PubMed ID: 16697666
[TBL] [Abstract][Full Text] [Related]
19. Variational level set combined with Markov random field modeling for simultaneous intensity non-uniformity correction and segmentation of MR images.
Shahvaran Z; Kazemi K; Helfroush MS; Jafarian N; Noorizadeh N
J Neurosci Methods; 2012 Aug; 209(2):280-9. PubMed ID: 22728688
[TBL] [Abstract][Full Text] [Related]
20. Intensity correction with a pair of spoiled gradient recalled echo images.
Noterdaeme O; Anderson M; Gleeson F; Brady SM
Phys Med Biol; 2009 Jun; 54(11):3473-89. PubMed ID: 19436101
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]