BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

135 related articles for article (PubMed ID: 24505763)

  • 1. Contour-driven regression for label inference in atlas-based segmentation.
    Wachinger C; Sharp GC; Golland P
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):211-8. PubMed ID: 24505763
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Atlas-based auto-segmentation of head and neck CT images.
    Han X; Hoogeman MS; Levendag PC; Hibbard LS; Teguh DN; Voet P; Cowen AC; Wolf TK
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 2):434-41. PubMed ID: 18982634
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Supervised probabilistic segmentation of pulmonary nodules in CT scans.
    van Ginneken B
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):912-9. PubMed ID: 17354860
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Segmentation of neck lymph nodes in CT datasets with stable 3D mass-spring models segmentation of neck lymph nodes.
    Dornheim J; Seim H; Preim B; Hertel I; Strauss G
    Acad Radiol; 2007 Nov; 14(11):1389-99. PubMed ID: 17964462
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Interactive semiautomatic contour delineation using statistical conditional random fields framework.
    Hu YC; Grossberg MD; Wu A; Riaz N; Perez C; Mageras GS
    Med Phys; 2012 Jul; 39(7):4547-58. PubMed ID: 22830786
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automated segmentation of the liver from 3D CT images using probabilistic atlas and multi-level statistical shape model.
    Okada T; Shimada R; Sato Y; Hori M; Yokota K; Nakamoto M; Chen YW; Nakamura H; Tamura S
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):86-93. PubMed ID: 18051047
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Improve threshold segmentation using features extraction to automatic lung delimitation.
    França C; Vasconcelos G; Diniz P; Melo P; Diniz J; Novaes M
    Stud Health Technol Inform; 2013; 192():1159. PubMed ID: 23920933
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Automatic X-ray landmark detection and shape segmentation via data-driven joint estimation of image displacements.
    Chen C; Xie W; Franke J; Grutzner PA; Nolte LP; Zheng G
    Med Image Anal; 2014 Apr; 18(3):487-99. PubMed ID: 24561486
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Model-based esophagus segmentation from CT scans using a spatial probability map.
    Feulner J; Zhou SK; Huber M; Cavallaro A; Hornegger J; Comaniciu D
    Med Image Comput Comput Assist Interv; 2010; 13(Pt 1):95-102. PubMed ID: 20879219
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Using Frankenstein's creature paradigm to build a patient specific atlas.
    Commowick O; Warfield SK; Malandain G
    Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):993-1000. PubMed ID: 20426208
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Decomposing the Hounsfield unit: probabilistic segmentation of brain tissue in computed tomography.
    Kemmling A; Wersching H; Berger K; Knecht S; Groden C; Nölte I
    Clin Neuroradiol; 2012 Mar; 22(1):79-91. PubMed ID: 22270832
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A density distance augmented Chan-Vese active contour for CT bone segmentation.
    Truc PT; Lee S; Kim TS
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():482-5. PubMed ID: 19162698
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Constructing a probabilistic model for automated liver region segmentation using non-contrast X-ray torso CT images.
    Zhou X; Kitagawa T; Hara T; Fujita H; Zhang X; Yokoyama R; Kondo H; Kanematsu M; Hoshi H
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):856-63. PubMed ID: 17354853
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Automatic segmentation of head and neck CT images for radiotherapy treatment planning using multiple atlases, statistical appearance models, and geodesic active contours.
    Fritscher KD; Peroni M; Zaffino P; Spadea MF; Schubert R; Sharp G
    Med Phys; 2014 May; 41(5):051910. PubMed ID: 24784389
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Efficient multi-atlas abdominal segmentation on clinically acquired CT with SIMPLE context learning.
    Xu Z; Burke RP; Lee CP; Baucom RB; Poulose BK; Abramson RG; Landman BA
    Med Image Anal; 2015 Aug; 24(1):18-27. PubMed ID: 26046403
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A statistical modeling approach for evaluating auto-segmentation methods for image-guided radiotherapy.
    Yang J; Wei C; Zhang L; Zhang Y; Blum RS; Dong L
    Comput Med Imaging Graph; 2012 Sep; 36(6):492-500. PubMed ID: 22673541
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Topology preserving warping of binary images: application to atlas-based skull segmentation.
    Faisan S; Passat N; Noblet V; Chabrier R; Meyer C
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):211-8. PubMed ID: 18979750
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Weights and topology: a study of the effects of graph construction on 3D image segmentation.
    Grady L; Jolly MP
    Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):153-61. PubMed ID: 18979743
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Validation and improved registration of bone segmentation using contour coherency.
    Greenspan M; Wang LI; Ellis R
    Conf Proc IEEE Eng Med Biol Soc; 2006; 2006():244-7. PubMed ID: 17946808
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multi-organ localization combining global-to-local regression and confidence maps.
    Gauriau R; Cuingnet R; Lesage D; Bloch I
    Med Image Comput Comput Assist Interv; 2014; 17(Pt 3):337-44. PubMed ID: 25320817
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.