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 *

186 related articles for article (PubMed ID: 17354878)

  • 1. 4D shape priors for a level set segmentation of the left myocardium in SPECT sequences.
    Kohlberger T; Cremers D; Rousson M; Ramaraj R; Funka-Lea G
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 1):92-100. PubMed ID: 17354878
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Automatic segmentation of the left ventricle in 3D SPECT data by registration with a dynamic anatomic model.
    Dornheim L; Tönnies KD; Dixon K
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 1):335-42. PubMed ID: 16685863
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Soft level set coupling for LV segmentation in gated perfusion SPECT.
    Kohlberger T; Funka-Lea G; Desh V
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 1):327-34. PubMed ID: 18051075
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improving segmentation of the left ventricle using a two-component statistical model.
    Zambal S; Hladůvka J; Bühler K
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 1):151-8. PubMed ID: 17354885
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Left ventricle segmentation in echocardiography using a radial-search-based image processing algorithm.
    Lacerda SG; da Rocha AF; Vasconcelos DF; de Carvalho JL; Sene IG; Camapum JF
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():222-5. PubMed ID: 19162633
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Robust boundary detection of left ventricles on ultrasound images using ASM-level set method.
    Zhang Y; Gao Y; Li H; Teng Y; Kang Y
    Biomed Mater Eng; 2015; 26 Suppl 1():S1291-6. PubMed ID: 26405890
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Semi-automated assessment of left ventricular mass using transaxial Tc-99m Sestamibi SPECT imaging.
    Rojas G; Raff U; Gonzalez P; Jaimovich R; Quintana JC
    Comput Med Imaging Graph; 2009 Jun; 33(4):247-55. PubMed ID: 19261437
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Shape statistics variational approach for the outer contour segmentation of left ventricle MR images.
    Chen Q; Zhou ZM; Tang M; Heng PA; Xia DS
    IEEE Trans Inf Technol Biomed; 2006 Jul; 10(3):588-97. PubMed ID: 16871729
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Feasibility of left ventricular shape analysis from transthoracic real-time 3-D echocardiographic images.
    Maffessanti F; Lang RM; Corsi C; Mor-Avi V; Caiani EG
    Ultrasound Med Biol; 2009 Dec; 35(12):1953-62. PubMed ID: 19828226
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 3D left ventricular segmentation using double active contours and double active surfaces.
    Phumeechanya S; Pluempitiwiriyawej C; Sotthivirat S
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():214-7. PubMed ID: 19162631
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Real-time SPECT and 2D ultrasound image registration.
    Bucki M; Chassat F; Galdames F; Asahi T; Pizarro D; Lobo G
    Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):219-26. PubMed ID: 18044572
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Unsupervised 4D myocardium segmentation with a Markov Random Field based deformable model.
    Cordero-Grande L; Vegas-Sánchez-Ferrero G; Casaseca-de-la-Higuera P; San-Román-Calvar JA; Revilla-Orodea A; Martín-Fernández M; Alberola-López C
    Med Image Anal; 2011 Jun; 15(3):283-301. PubMed ID: 21354361
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Registration-assisted segmentation of real-time 3-D echocardiographic data using deformable models.
    Zagrodsky V; Walimbe V; Castro-Pareja CR; Qin JX; Song JM; Shekhar R
    IEEE Trans Med Imaging; 2005 Sep; 24(9):1089-99. PubMed ID: 16156348
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Statistical shape models for 3D medical image segmentation: a review.
    Heimann T; Meinzer HP
    Med Image Anal; 2009 Aug; 13(4):543-63. PubMed ID: 19525140
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A combined deep-learning and deformable-model approach to fully automatic segmentation of the left ventricle in cardiac MRI.
    Avendi MR; Kheradvar A; Jafarkhani H
    Med Image Anal; 2016 May; 30():108-119. PubMed ID: 26917105
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Functional bull's eye based on three dimensional velocity information to quantify left ventricle motion in gated-SPECT.
    de Sá Rebelo M; Meneghetti JC; Gutierrez MA
    Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():209-13. PubMed ID: 19162630
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Efficient kernel density estimation of shape and intensity priors for level set segmentation.
    Rousson M; Cremers D
    Med Image Comput Comput Assist Interv; 2005; 8(Pt 2):757-64. PubMed ID: 16686028
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Dynamical statistical shape priors for level set-based tracking.
    Cremers D
    IEEE Trans Pattern Anal Mach Intell; 2006 Aug; 28(8):1262-73. PubMed ID: 16886862
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Robust active shape models: a robust, generic and simple automatic segmentation tool.
    Abi-Nahed J; Jolly MP; Yang GZ
    Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):1-8. PubMed ID: 17354749
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Incorporating shape variability in image segmentation via implicit template deformation.
    Prevost R; Cuingneti R; Mory B; Cohen LD; Ardon R
    Med Image Comput Comput Assist Interv; 2013; 16(Pt 3):82-9. PubMed ID: 24505747
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.