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Connection

Dimitris Metaxas to Pattern Recognition, Automated

This is a "connection" page, showing publications Dimitris Metaxas has written about Pattern Recognition, Automated.
  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: 0.439
  2. Atlas-based liver segmentation and hepatic fat-fraction assessment for clinical trials. Comput Med Imaging Graph. 2015 Apr; 41:80-92.
    View in: PubMed
    Score: 0.408
  3. Deformable segmentation via sparse representation and dictionary learning. Med Image Anal. 2012 Oct; 16(7):1385-96.
    View in: PubMed
    Score: 0.360
  4. Automatic image annotation and retrieval using group sparsity. IEEE Trans Syst Man Cybern B Cybern. 2012 Jun; 42(3):838-49.
    View in: PubMed
    Score: 0.345
  5. Simplified labeling process for medical image segmentation. Med Image Comput Comput Assist Interv. 2012; 15(Pt 2):387-94.
    View in: PubMed
    Score: 0.344
  6. Shape prior modeling using sparse representation and online dictionary learning. Med Image Comput Comput Assist Interv. 2012; 15(Pt 3):435-42.
    View in: PubMed
    Score: 0.344
  7. Unsupervised image categorization by hypergraph partition. IEEE Trans Pattern Anal Mach Intell. 2011 Jun; 33(6):1266-73.
    View in: PubMed
    Score: 0.331
  8. Efficient MR image reconstruction for compressed MR imaging. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):135-42.
    View in: PubMed
    Score: 0.300
  9. Lesion-specific coronary artery calcium quantification for predicting cardiac event with multiple instance support vector machines. Med Image Comput Comput Assist Interv. 2010; 13(Pt 1):484-92.
    View in: PubMed
    Score: 0.300
  10. Shape registration in implicit spaces using information theory and free form deformations. IEEE Trans Pattern Anal Mach Intell. 2006 Aug; 28(8):1303-18.
    View in: PubMed
    Score: 0.237
  11. A segmentation and tracking system for 4D cardiac tagged MR images. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:1541-4.
    View in: PubMed
    Score: 0.227
  12. A hybrid framework for 3D medical image segmentation. Med Image Anal. 2005 Dec; 9(6):547-65.
    View in: PubMed
    Score: 0.226
  13. Greedy auto-augmentation for n-shot learning using deep neural networks. Neural Netw. 2021 Mar; 135:68-77.
    View in: PubMed
    Score: 0.160
  14. Interactive Exploration for Continuously Expanding Neuron Databases. Methods. 2017 02 15; 115:100-109.
    View in: PubMed
    Score: 0.123
  15. Mouse Social Interaction Test (MoST): a quantitative computer automated analysis of behavior. J Neural Transm (Vienna). 2017 01; 124(1):3-11.
    View in: PubMed
    Score: 0.113
  16. 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: 0.105
  17. 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: 0.092
  18. Identifying regional cardiac abnormalities from myocardial strains using spatio-temporal tensor analysis. Med Image Comput Comput Assist Interv. 2008; 11(Pt 1):789-97.
    View in: PubMed
    Score: 0.065
  19. Tag separation in cardiac tagged MRI. Med Image Comput Comput Assist Interv. 2008; 11(Pt 2):289-97.
    View in: PubMed
    Score: 0.065
  20. Adaptive metamorphs model for 3D medical image segmentation. Med Image Comput Comput Assist Interv. 2007; 10(Pt 1):302-10.
    View in: PubMed
    Score: 0.061
  21. Boosting and nonparametric based tracking of tagged MRI cardiac boundaries. Med Image Comput Comput Assist Interv. 2006; 9(Pt 1):636-44.
    View in: PubMed
    Score: 0.057
  22. Extraction and tracking of MRI tagging sheets using a 3D Gabor filter bank. Conf Proc IEEE Eng Med Biol Soc. 2006; 2006:711-4.
    View in: PubMed
    Score: 0.057
  23. Efficient learning by combining confidence-rated classifiers to incorporate unlabeled medical data. Med Image Comput Comput Assist Interv. 2005; 8(Pt 1):745-52.
    View in: PubMed
    Score: 0.053
  24. Highly sensitive size discrimination of sub-micron objects using optical Fourier processing based on two-dimensional Gabor filters. Opt Express. 2009 Jul 06; 17(14):12001-12.
    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.