Lauge Sørensen

Summary

Affiliation: University of Copenhagen
Country: Denmark

Publications

  1. doi request reprint Texture-based analysis of COPD: a data-driven approach
    Lauge Sørensen
    The Image Group, Department of Computer Science, University of Copenhagen, DK 2100 Copenhagen, Denmark
    IEEE Trans Med Imaging 31:70-8. 2012
  2. ncbi request reprint Texture classification in lung CT using local binary patterns
    Lauge Sørensen
    Department of Computer Science, University of Copenhagen, Denmark
    Med Image Comput Comput Assist Interv 11:934-41. 2008
  3. doi request reprint Quantitative analysis of pulmonary emphysema using local binary patterns
    Lauge Sørensen
    Image Group, Department of Computer Science, University of Copenhagen, DK 2110 Copenhagen, Denmark
    IEEE Trans Med Imaging 29:559-69. 2010
  4. ncbi request reprint Learning COPD sensitive filters in pulmonary CT
    Lauge Sørensen
    Department of Computer Science, University of Copenhagen, Denmark
    Med Image Comput Comput Assist Interv 12:699-706. 2009
  5. ncbi request reprint Image dissimilarity-based quantification of lung disease from CT
    Lauge Sørensen
    The Image Group, Department of Computer Science, University of Copenhagen, Denmark
    Med Image Comput Comput Assist Interv 13:37-44. 2010
  6. ncbi request reprint Dissimilarity-based classification of anatomical tree structures
    Lauge Sørensen
    The Image Group, Department of Computer Science, University of Copenhagen, Denmark
    Inf Process Med Imaging 22:475-85. 2011

Detail Information

Publications6

  1. doi request reprint Texture-based analysis of COPD: a data-driven approach
    Lauge Sørensen
    The Image Group, Department of Computer Science, University of Copenhagen, DK 2100 Copenhagen, Denmark
    IEEE Trans Med Imaging 31:70-8. 2012
    ..598. Further, the proposed measure is as reproducible as the density measures, and there were indications that it correlates better with lung function and is less influenced by inspiration level...
  2. ncbi request reprint Texture classification in lung CT using local binary patterns
    Lauge Sørensen
    Department of Computer Science, University of Copenhagen, Denmark
    Med Image Comput Comput Assist Interv 11:934-41. 2008
    ..Classification results are better than some of those previously reported in the literature...
  3. doi request reprint Quantitative analysis of pulmonary emphysema using local binary patterns
    Lauge Sørensen
    Image Group, Department of Computer Science, University of Copenhagen, DK 2110 Copenhagen, Denmark
    IEEE Trans Med Imaging 29:559-69. 2010
    ..79 in 39 subjects. The results were compared to RA and to a Gaussian filter bank, and the texture-based measures correlated significantly better with PFT than did RA...
  4. ncbi request reprint Learning COPD sensitive filters in pulmonary CT
    Lauge Sørensen
    Department of Computer Science, University of Copenhagen, Denmark
    Med Image Comput Comput Assist Interv 12:699-706. 2009
    ..The proposed texture based approach achieves an 69% classification accuracy which is significantly better than RA's 55% accuracy...
  5. ncbi request reprint Image dissimilarity-based quantification of lung disease from CT
    Lauge Sørensen
    The Image Group, Department of Computer Science, University of Copenhagen, Denmark
    Med Image Comput Comput Assist Interv 13:37-44. 2010
    ..817. This is significantly better compared to combining individual region classifications into an overall image classification, and compared to common computerized quantitative measures in pulmonary CT...
  6. ncbi request reprint Dissimilarity-based classification of anatomical tree structures
    Lauge Sørensen
    The Image Group, Department of Computer Science, University of Copenhagen, Denmark
    Inf Process Med Imaging 22:475-85. 2011
    ..912 is achieved. This is significantly better than computing the average WA%...