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 *

92 related articles for article (PubMed ID: 18649479)

  • 1. Proximal femur segmentation in conventional pelvic x ray.
    Pilgram R; Walch C; Kuhn V; Schubert R; Staudinger R
    Med Phys; 2008 Jun; 35(6):2463-72. PubMed ID: 18649479
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Knowledge-based femur detection in conventional radiographs of the pelvis.
    Pilgram R; Walch C; Blauth M; Jaschke W; Schubert R; Kuhn V
    Comput Biol Med; 2008 May; 38(5):535-44. PubMed ID: 18358463
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Fully automatic segmentation of femurs with medullary canal definition in high and in low resolution CT scans.
    Almeida DF; Ruben RB; Folgado J; Fernandes PR; Audenaert E; Verhegghe B; De Beule M
    Med Eng Phys; 2016 Dec; 38(12):1474-1480. PubMed ID: 27751655
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Accurate Pelvis and Femur Segmentation in Hip CT With a Novel Patch-Based Refinement.
    Chang Y; Yuan Y; Guo C; Wang Y; Cheng Y; Tamura S
    IEEE J Biomed Health Inform; 2019 May; 23(3):1192-1204. PubMed ID: 29993902
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fully automated segmentation of a hip joint using the patient-specific optimal thresholding and watershed algorithm.
    Kim JJ; Nam J; Jang IG
    Comput Methods Programs Biomed; 2018 Feb; 154():161-171. PubMed ID: 29249340
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Statistical shape model-based reconstruction of a scaled, patient-specific surface model of the pelvis from a single standard AP x-ray radiograph.
    Zheng G
    Med Phys; 2010 Apr; 37(4):1424-39. PubMed ID: 20443464
    [TBL] [Abstract][Full Text] [Related]  

  • 7. FACTS: Fully Automatic CT Segmentation of a Hip Joint.
    Chu C; Chen C; Liu L; Zheng G
    Ann Biomed Eng; 2015 May; 43(5):1247-59. PubMed ID: 25366904
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The segmentation of bones in pelvic CT images based on extraction of key frames.
    Yu H; Wang H; Shi Y; Xu K; Yu X; Cao Y
    BMC Med Imaging; 2018 May; 18(1):18. PubMed ID: 29788923
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Fully automatic segmentation of the proximal femur using random forest regression voting.
    Lindner C; Thiagarajah S; Wilkinson JM; ; Wallis GA; Cootes TF
    IEEE Trans Med Imaging; 2013 Aug; 32(8):1462-72. PubMed ID: 23591481
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Automatic segmentation of thoracic and pelvic CT images for radiotherapy planning using implicit anatomic knowledge and organ-specific segmentation strategies.
    Haas B; Coradi T; Scholz M; Kunz P; Huber M; Oppitz U; André L; Lengkeek V; Huyskens D; van Esch A; Reddick R
    Phys Med Biol; 2008 Mar; 53(6):1751-71. PubMed ID: 18367801
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Statistical model-based segmentation of the proximal femur in digital antero-posterior (AP) pelvic radiographs.
    Xie W; Franke J; Chen C; Grützner PA; Schumann S; Nolte LP; Zheng G
    Int J Comput Assist Radiol Surg; 2014 Mar; 9(2):165-76. PubMed ID: 23900851
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gradient-based 2-D/3-D rigid registration of fluoroscopic X-ray to CT.
    Livyatan H; Yaniv Z; Joskowicz L
    IEEE Trans Med Imaging; 2003 Nov; 22(11):1395-406. PubMed ID: 14606673
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Instantiation and registration of statistical shape models of the femur and pelvis using 3D ultrasound imaging.
    Barratt DC; Chan CS; Edwards PJ; Penney GP; Slomczykowski M; Carter TJ; Hawkes DJ
    Med Image Anal; 2008 Jun; 12(3):358-74. PubMed ID: 18313973
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Fully automatic segmentation of the femur from 3D-CT images using primitive shape recognition and statistical shape models.
    Ben Younes L; Nakajima Y; Saito T
    Int J Comput Assist Radiol Surg; 2014 Mar; 9(2):189-96. PubMed ID: 24101434
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Segmentation of kidneys using a new active shape model generation technique based on non-rigid image registration.
    Spiegel M; Hahn DA; Daum V; Wasza J; Hornegger J
    Comput Med Imaging Graph; 2009 Jan; 33(1):29-39. PubMed ID: 19046849
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy.
    Zhou J; Kim S; Jabbour S; Goyal S; Haffty B; Chen T; Levinson L; Metaxas D; Yue NJ
    Med Phys; 2010 Mar; 37(3):1298-308. PubMed ID: 20384267
    [TBL] [Abstract][Full Text] [Related]  

  • 18. 2D-3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models.
    Baka N; Kaptein BL; de Bruijne M; van Walsum T; Giphart JE; Niessen WJ; Lelieveldt BP
    Med Image Anal; 2011 Dec; 15(6):840-50. PubMed ID: 21600836
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SIFT algorithm-based 3D pose estimation of femur.
    Zhang X; Zhu Y; Li C; Zhao J; Li G
    Biomed Mater Eng; 2014; 24(6):2847-55. PubMed ID: 25226990
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MASCG: Multi-Atlas Segmentation Constrained Graph method for accurate segmentation of hip CT images.
    Chu C; Bai J; Wu X; Zheng G
    Med Image Anal; 2015 Dec; 26(1):173-84. PubMed ID: 26426453
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.