Connection

Co-Authors

This is a "connection" page, showing publications co-authored by Fei Shan and Yaozong Gao.
Connection Strength

0.866
  1. Abnormal lung quantification in chest CT images of COVID-19 patients with deep learning and its application to severity prediction. Med Phys. 2021 Apr; 48(4):1633-1645.
    View in: PubMed
    Score: 0.233
  2. A deep learning-based quantitative computed tomography model for predicting the severity of COVID-19: a retrospective study of 196 patients. Ann Transl Med. 2021 Feb; 9(3):216.
    View in: PubMed
    Score: 0.232
  3. Computing infection distributions and longitudinal evolution patterns in lung CT images. BMC Med Imaging. 2021 03 23; 21(1):57.
    View in: PubMed
    Score: 0.058
  4. Large-scale screening to distinguish between COVID-19 and community-acquired pneumonia using infection size-aware classification. Phys Med Biol. 2021 03 17; 66(6):065031.
    View in: PubMed
    Score: 0.058
  5. Large-scale screening of COVID-19 from community acquired pneumonia using infection size-aware classification. Phys Med Biol. 2021 Feb 19.
    View in: PubMed
    Score: 0.058
  6. Hypergraph learning for identification of COVID-19 with CT imaging. Med Image Anal. 2021 02; 68:101910.
    View in: PubMed
    Score: 0.057
  7. Joint prediction and time estimation of COVID-19 developing severe symptoms using chest CT scan. Med Image Anal. 2021 01; 67:101824.
    View in: PubMed
    Score: 0.057
  8. Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification With Chest CT. IEEE J Biomed Health Inform. 2020 10; 24(10):2798-2805.
    View in: PubMed
    Score: 0.056
  9. Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia. IEEE Trans Med Imaging. 2020 Aug; 39(8):2595-2605.
    View in: PubMed
    Score: 0.056
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.