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Connection

Dimitris Metaxas to Imaging, Three-Dimensional

This is a "connection" page, showing publications Dimitris Metaxas has written about Imaging, Three-Dimensional.
Connection Strength

3.614
  1. An efficient conditional random field approach for automatic and interactive neuron segmentation. Med Image Anal. 2016 Jan; 27:31-44.
    View in: PubMed
    Score: 0.451
  2. Optree: a learning-based adaptive watershed algorithm for neuron segmentation. Med Image Comput Comput Assist Interv. 2014; 17(Pt 1):97-105.
    View in: PubMed
    Score: 0.406
  3. Collaborative multi organ segmentation by integrating deformable and graphical models. Med Image Comput Comput Assist Interv. 2013; 16(Pt 2):157-64.
    View in: PubMed
    Score: 0.379
  4. Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
    View in: PubMed
    Score: 0.370
  5. Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
    View in: PubMed
    Score: 0.354
  6. 3D cardiac motion reconstruction from CT data and tagged MRI. Annu Int Conf IEEE Eng Med Biol Soc. 2012; 2012:4083-6.
    View in: PubMed
    Score: 0.354
  7. 3D segmentation of rodent brain structures using hierarchical shape priors and deformable models. Med Image Comput Comput Assist Interv. 2011; 14(Pt 3):611-8.
    View in: PubMed
    Score: 0.330
  8. Sparse Data-Driven Learning for Effective and Efficient Biomedical Image Segmentation. Annu Rev Biomed Eng. 2020 Jun 04; 22:127-153.
    View in: PubMed
    Score: 0.156
  9. eCurves: A Temporal Shape Encoding. IEEE Trans Biomed Eng. 2018 Apr; 65(4):733-744.
    View in: PubMed
    Score: 0.129
  10. Bodypart Recognition Using Multi-stage Deep Learning. Inf Process Med Imaging. 2015; 24:449-61.
    View in: PubMed
    Score: 0.109
  11. A homotopy-based sparse representation for fast and accurate shape prior modeling in liver surgical planning. Med Image Anal. 2015 Jan; 19(1):176-86.
    View in: PubMed
    Score: 0.107
  12. Meshless deformable models for 3D cardiac motion and strain analysis from tagged MRI. Magn Reson Imaging. 2015 Jan; 33(1):146-60.
    View in: PubMed
    Score: 0.106
  13. Segmenting the papillary muscles and the trabeculae from high resolution cardiac CT through restoration of topological handles. Inf Process Med Imaging. 2013; 23:184-95.
    View in: PubMed
    Score: 0.095
  14. Towards robust and effective shape modeling: sparse shape composition. Med Image Anal. 2012 Jan; 16(1):265-77.
    View in: PubMed
    Score: 0.086
  15. A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy. Med Phys. 2010 Mar; 37(3):1298-308.
    View in: PubMed
    Score: 0.078
  16. Few-Shot Learning by a Cascaded Framework With Shape-Constrained Pseudo Label Assessment for Whole Heart Segmentation. IEEE Trans Med Imaging. 2021 10; 40(10):2629-2641.
    View in: PubMed
    Score: 0.043
  17. Deformable segmentation via sparse shape representation. Med Image Comput Comput Assist Interv. 2011; 14(Pt 2):451-8.
    View in: PubMed
    Score: 0.021
  18. Using high resolution cardiac CT data to model and visualize patient-specific interactions between trabeculae and blood flow. Med Image Comput Comput Assist Interv. 2011; 14(Pt 1):468-75.
    View in: PubMed
    Score: 0.021
  19. Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models. IEEE Trans Med Imaging. 2010 Jan; 29(1):1-11.
    View in: PubMed
    Score: 0.018
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.