BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

311 related articles for article (PubMed ID: 23219273)

  • 1. An improved variational level set method for MR image segmentation and bias field correction.
    Zhan T; Zhang J; Xiao L; Chen Y; Wei Z
    Magn Reson Imaging; 2013 Apr; 31(3):439-47. PubMed ID: 23219273
    [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. 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]  

  • 4. Level set method coupled with Energy Image features for brain MR image segmentation.
    Punga MV; Gaurav R; Moraru L
    Biomed Tech (Berl); 2014 Jun; 59(3):219-29. PubMed ID: 24598830
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method.
    Liu L; Zhang Q; Wu M; Li W; Shang F
    Magn Reson Imaging; 2013 May; 31(4):567-74. PubMed ID: 23290480
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interplay between intensity standardization and inhomogeneity correction in MR image processing.
    Madabhushi A; Udupa JK
    IEEE Trans Med Imaging; 2005 May; 24(5):561-76. PubMed ID: 15889544
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A modified possibilistic fuzzy c-means clustering algorithm for bias field estimation and segmentation of brain MR image.
    Ji ZX; Sun QS; Xia DS
    Comput Med Imaging Graph; 2011 Jul; 35(5):383-97. PubMed ID: 21256710
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Atlas-based fuzzy connectedness segmentation and intensity nonuniformity correction applied to brain MRI.
    Zhou Y; Bai J
    IEEE Trans Biomed Eng; 2007 Jan; 54(1):122-9. PubMed ID: 17260863
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Unifying framework for multimodal brain MRI segmentation based on Hidden Markov Chains.
    Bricq S; Collet Ch; Armspach JP
    Med Image Anal; 2008 Dec; 12(6):639-52. PubMed ID: 18440268
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Method to correct intensity inhomogeneity in MR images for atherosclerosis characterization.
    Salvado O; Hillenbrand C; Zhang S; Wilson DL
    IEEE Trans Med Imaging; 2006 May; 25(5):539-52. PubMed ID: 16689259
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. Correction of bias field in MR images using singularity function analysis.
    Luo J; Zhu Y; Clarysse P; Magnin I
    IEEE Trans Med Imaging; 2005 Aug; 24(8):1067-85. PubMed ID: 16092338
    [TBL] [Abstract][Full Text] [Related]  

  • 14. An efficient level set method for simultaneous intensity inhomogeneity correction and segmentation of MR images.
    Ivanovska T; Laqua R; Wang L; Schenk A; Yoon JH; Hegenscheid K; Völzke H; Liebscher V
    Comput Med Imaging Graph; 2016 Mar; 48():9-20. PubMed ID: 26741125
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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]  

  • 16. Improved Fuzzy C-Means based Particle Swarm Optimization (PSO) initialization and outlier rejection with level set methods for MR brain image segmentation.
    Mekhmoukh A; Mokrani K
    Comput Methods Programs Biomed; 2015 Nov; 122(2):266-81. PubMed ID: 26299609
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 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]  

  • 18. Image segmentation by EM-based adaptive pulse coupled neural networks in brain magnetic resonance imaging.
    Fu JC; Chen CC; Chai JW; Wong ST; Li IC
    Comput Med Imaging Graph; 2010 Jun; 34(4):308-20. PubMed ID: 20042313
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An adaptive level set segmentation on a triangulated mesh.
    Xu M; Thompson PM; Toga AW
    IEEE Trans Med Imaging; 2004 Feb; 23(2):191-201. PubMed ID: 14964564
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The fast automatic algorithm for correction of MR bias field.
    Milchenko MV; Pianykh OS; Tyler JM
    J Magn Reson Imaging; 2006 Oct; 24(4):891-900. PubMed ID: 16929550
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.