Connection

Co-Authors

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This is a "connection" page, showing publications co-authored by Hongzhou Lu and Fei Shan.
Hongzhou Lu
Connection Strength
1.127
Fei Shan
  1. 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
  2. Epidemiology and clinical course of COVID-19 in Shanghai, China. Emerg Microbes Infect. 2020 Dec; 9(1):1537-1545.
    View in: PubMed
    Score: 0.229
  3. A clinical pilot study on the safety and efficacy of aerosol inhalation treatment of IFN-? plus TFF2 in patients with moderate COVID-19. EClinicalMedicine. 2020 Aug; 25:100478.
    View in: PubMed
    Score: 0.224
  4. Clinical Potential of UTE-MRI for Assessing COVID-19: Patient- and Lesion-Based Comparative Analysis. J Magn Reson Imaging. 2020 08; 52(2):397-406.
    View in: PubMed
    Score: 0.221
  5. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020 Dec; 297(3):E346.
    View in: PubMed
    Score: 0.057
  6. Clinical and CT features of early stage patients with COVID-19: a retrospective analysis of imported cases in Shanghai, China. Eur Respir J. 2020 04; 55(4).
    View in: PubMed
    Score: 0.055
  7. CT quantification of pneumonia lesions in early days predicts progression to severe illness in a cohort of COVID-19 patients. Theranostics. 2020; 10(12):5613-5622.
    View in: PubMed
    Score: 0.055
  8. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology. 2020 04; 295(1):210-217.
    View in: PubMed
    Score: 0.054
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.