These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

118 related articles for article (PubMed ID: 20529752)

  • 1. Automatic segmentation of spinal cord MRI using symmetric boundary tracing.
    Mukherjee DP; Cheng I; Ray N; Mushahwar V; Lebel M; Basu A
    IEEE Trans Inf Technol Biomed; 2010 Sep; 14(5):1275-8. PubMed ID: 20529752
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic Spinal Cord Gray Matter Quantification: A Novel Approach.
    Tsagkas C; Horvath A; Altermatt A; Pezold S; Weigel M; Haas T; Amann M; Kappos L; Sprenger T; Bieri O; Cattin P; Parmar K
    AJNR Am J Neuroradiol; 2019 Sep; 40(9):1592-1600. PubMed ID: 31439628
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Spinal Cord Segmentation by One Dimensional Normalized Template Matching: A Novel, Quantitative Technique to Analyze Advanced Magnetic Resonance Imaging Data.
    Cadotte A; Cadotte DW; Livne M; Cohen-Adad J; Fleet D; Mikulis D; Fehlings MG
    PLoS One; 2015; 10(10):e0139323. PubMed ID: 26445367
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Fully-integrated framework for the segmentation and registration of the spinal cord white and gray matter.
    Dupont SM; De Leener B; Taso M; Le Troter A; Nadeau S; Stikov N; Callot V; Cohen-Adad J
    Neuroimage; 2017 Apr; 150():358-372. PubMed ID: 27663988
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Robust, accurate and fast automatic segmentation of the spinal cord.
    De Leener B; Kadoury S; Cohen-Adad J
    Neuroimage; 2014 Sep; 98():528-36. PubMed ID: 24780696
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic spinal cord localization, robust to MRI contrasts using global curve optimization.
    Gros C; De Leener B; Dupont SM; Martin AR; Fehlings MG; Bakshi R; Tummala S; Auclair V; McLaren DG; Callot V; Cohen-Adad J; Sdika M
    Med Image Anal; 2018 Feb; 44():215-227. PubMed ID: 29288983
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automatic magnetic resonance spinal cord segmentation with topology constraints for variable fields of view.
    Chen M; Carass A; Oh J; Nair G; Pham DL; Reich DS; Prince JL
    Neuroimage; 2013 Dec; 83():1051-62. PubMed ID: 23927903
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic Segmentation of the Spinal Cord and Spinal Canal Coupled With Vertebral Labeling.
    De Leener B; Cohen-Adad J; Kadoury S
    IEEE Trans Med Imaging; 2015 Aug; 34(8):1705-18. PubMed ID: 26011879
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated boundary extraction of the spinal canal in MRI based on dynamic programming.
    Koh J; Chaudhary V; Dhillon G
    Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():6559-62. PubMed ID: 23367432
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Gray matter segmentation of the spinal cord with active contours in MR images.
    Datta E; Papinutto N; Schlaeger R; Zhu A; Carballido-Gamio J; Henry RG
    Neuroimage; 2017 Feb; 147():788-799. PubMed ID: 27495383
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Fully automatic 3D segmentation of the thoracolumbar spinal cord and the vertebral canal from T2-weighted MRI using K-means clustering algorithm.
    Sabaghian S; Dehghani H; Batouli SAH; Khatibi A; Oghabian MA
    Spinal Cord; 2020 Jul; 58(7):811-820. PubMed ID: 32132652
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [MRI kidney segmentation based on thresholding and active contour model].
    Wu X; Zhou C; Ren QS
    Zhongguo Yi Liao Qi Xie Za Zhi; 2011 May; 35(3):161-3. PubMed ID: 21954570
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Automatic spinal cord segmentation from axial-view MRI slices using CNN with grayscale regularized active contour propagation.
    Zhang X; Li Y; Liu Y; Tang SX; Liu X; Punithakumar K; Shi D
    Comput Biol Med; 2021 May; 132():104345. PubMed ID: 33780869
    [TBL] [Abstract][Full Text] [Related]  

  • 14. The feasibility of atlas-based automatic segmentation of MRI for H&N radiotherapy planning.
    Wardman K; Prestwich RJ; Gooding MJ; Speight RJ
    J Appl Clin Med Phys; 2016 Jul; 17(4):146-154. PubMed ID: 27455480
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Morphological active contour driven by local and global intensity fitting for spinal cord segmentation from MR images.
    Fouladivanda M; Kazemi K; Helfroush MS; Shakibafard A
    J Neurosci Methods; 2018 Oct; 308():116-128. PubMed ID: 30036546
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Gradient competition anisotropy for centerline extraction and segmentation of spinal cords.
    Law MW; Garvin GJ; Tummala S; Tay K; Leung AE; Li S
    Inf Process Med Imaging; 2013; 23():49-61. PubMed ID: 24683957
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Fully automated biomedical image segmentation by self-organized model adaptation.
    Wismüller A; Vietze F; Behrends J; Meyer-Baese A; Reiser M; Ritter H
    Neural Netw; 2004; 17(8-9):1327-44. PubMed ID: 15555869
    [TBL] [Abstract][Full Text] [Related]  

  • 18. White matter atlas of the human spinal cord with estimation of partial volume effect.
    Lévy S; Benhamou M; Naaman C; Rainville P; Callot V; Cohen-Adad J
    Neuroimage; 2015 Oct; 119():262-71. PubMed ID: 26099457
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accuracy Validation of an Automated Method for Prostate Segmentation in Magnetic Resonance Imaging.
    Shahedi M; Cool DW; Bauman GS; Bastian-Jordan M; Fenster A; Ward AD
    J Digit Imaging; 2017 Dec; 30(6):782-795. PubMed ID: 28342043
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Cardiac segmentation by a velocity-aided active contour model.
    Cho J; Benkeser PJ
    Comput Med Imaging Graph; 2006 Jan; 30(1):31-41. PubMed ID: 16378714
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.