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Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Feng Li and Maryellen L. Giger.
Connection Strength

0.996
  1. Evaluation of emphysema on thoracic low-dose CTs through attention-based multiple instance deep learning. Sci Rep. 2023 01 21; 13(1):1187.
    View in: PubMed
    Score: 0.228
  2. Anatomic Point-Based Lung Region with Zone Identification for Radiologist Annotation and Machine Learning for Chest Radiographs. J Digit Imaging. 2021 08; 34(4):922-931.
    View in: PubMed
    Score: 0.206
  3. Deep convolutional neural networks in the classification of dual-energy thoracic radiographic views for efficient workflow: analysis on over 6500 clinical radiographs. J Med Imaging (Bellingham). 2020 Jan; 7(1):016501.
    View in: PubMed
    Score: 0.186
  4. Clinical significance of noncalcified lung nodules in patients with breast cancer. Breast Cancer Res Treat. 2016 Sep; 159(2):265-71.
    View in: PubMed
    Score: 0.146
  5. Research imaging in an academic medical center. Acad Radiol. 2012 Jun; 19(6):762-71.
    View in: PubMed
    Score: 0.108
  6. Letter to the Editor: Use of Publicly Available Image Resources. Acad Radiol. 2017 07; 24(7):916-917.
    View in: PubMed
    Score: 0.038
  7. LUNGx Challenge for computerized lung nodule classification. J Med Imaging (Bellingham). 2016 Oct; 3(4):044506.
    View in: PubMed
    Score: 0.037
  8. LUNGx Challenge for computerized lung nodule classification: reflections and lessons learned. J Med Imaging (Bellingham). 2015 Apr; 2(2):020103.
    View in: PubMed
    Score: 0.033
  9. Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. Radiology. 2002 Dec; 225(3):685-92.
    View in: PubMed
    Score: 0.014
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.