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Connection

David Lynch to Pattern Recognition, Automated

This is a "connection" page, showing publications David Lynch has written about Pattern Recognition, Automated.

 
Connection Strength
 
 
 
1.951
 
  1. Kim GB, Jung KH, Lee Y, Kim HJ, Kim N, Jun S, Seo JB, Lynch DA. Comparison of Shallow and Deep Learning Methods on Classifying the Regional Pattern of Diffuse Lung Disease. J Digit Imaging. 2018 08; 31(4):415-424.
    View in: PubMed
    Score: 0.634
  2. Jun S, Kim N, Seo JB, Lee YK, Lynch DA. An Ensemble Method for Classifying Regional Disease Patterns of Diffuse Interstitial Lung Disease Using HRCT Images from Different Vendors. J Digit Imaging. 2017 Dec; 30(6):761-771.
    View in: PubMed
    Score: 0.606
  3. Kesner AL, Meier JG, Burckhardt DD, Schwartz J, Lynch DA. Data-driven optimal binning for respiratory motion management in PET. Med Phys. 2018 Jan; 45(1):277-286.
    View in: PubMed
    Score: 0.605
  4. Ginsburg SB, Lynch DA, Bowler RP, Schroeder JD. Automated texture-based quantification of centrilobular nodularity and centrilobular emphysema in chest CT images. Acad Radiol. 2012 Oct; 19(10):1241-51.
    View in: PubMed
    Score: 0.106
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.

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